To address these challenges, companies often turn to zero-trust architecture. Zero Trust is a security model consisting of a set of principles. These principles require all users to be authenticated, authorized, and validated before they are offered access to any data or network. It also advocates access control based on the “never trust, always verify” approach. Because of the result-oriented approach of this strategy, the global zero-trust security market is expected to reach $67.9 billion by 2028. This has the potential to revolutionize the security aspects of shared cloud environments.

In this blog, we will walk you through the various principles of Zero Trust architecture in shared cloud environments. We will also familiarize you with how you can implement Zero Trust in a shared cloud.

The core principles of Zero Trust:

Here is a list of some of the core principles of zero trust:

Continuous verification:Zero Trust allows organizations to continuously authenticate and authorize all the users and devices on the network based on the available data points, including location, device health, user identity, service, workload, data classification, etc. This ensures that all the devices are completely secure. Identity verification also serves as the cornerstone of security. It dictates that organizations should not automatically trust any system or user, whether inside or outside the network.

Least privilege access: This principle dictates that systems and users should always be offered the minimum permission or access required to perform a particular operation. This means limiting access to only what is necessary, reducing the chances of any users acquiring unauthorized access, and drastically reducing the risk of security threats.

Micro-segmentation: Micro-segmentation is a network security strategy that divides a network into smaller, isolated zones. Each segment has its own access controls, enhancing security by limiting unauthorized access and containing potential threats. This approach restricts lateral movement, ensuring that if one segment is compromised, the threat doesn’t easily spread to others.

 Visibility and control: Companies can acquire complete visibility over all their services by opting for zero trust authentication. They also understand the number of privileged accounts associated with each service. They can control the devices allowed to connect to a particular service. Network Access Control (NAC) also regulates connections from devices in various zero trust setups.

Assume breach: The basic practice of zero trust is to assume that the network you are accessing is relatively hostile. This principle points to the fact that external and internal threats are always present in the network until and unless every single threat is ruled out. This will help ensure that the necessary steps are taken to remediate the vulnerabilities in the network.

Implementing Zero Trust in shared clouds:

Implementing a secure zero trust strategy for your shared cloud environment requires several steps. Here’s a quick glance at what those steps are:

Identifying the assets: First, defining the cloud assets and data in the environment becomes necessary. This involves identifying the cloud resources, like databases, servers, storage, applications, etc., and classifying them based on various factors. It is also important to analyze the sensitivity of the data and apply encryption and backup policies accordingly.

Segmenting the network:Segmenting and isolating the cloud network forms an important part of the zero trust implementation process. It isolates the cloud network into smaller segments like microservices, virtual private clouds, and services. This helps in better regulation of traffic between the different components of the network; it also limits lateral movements in case there is a breach.

Applying security policies: The next step is to define and enforce various security policies on the assets. The policies will specify who can access what, where, when, and how in a shared cloud environment. You can also use powerful Identity and Access Management (IAM) methods like Single Sign-On (SSO) and Multi-Factor Authentication (MFA) to implement role-based access control on the systems. 

Automating and updating the security processes: The last step would be to automate and update the various security processes in the environment, like scanning, patching, testing, and remediation. This has a critical role to play in securing the shared cloud environment. You will also be able to remain compliant with industrial rules and regulations.

Overall, implementing a zero-trust strategy for a shared cloud environment is an ongoing process. It requires regular renewal of the security policies to remain updated with the changing threats. By adopting a zero-trust policy, companies can improve the resilience of their shared cloud environment and carry out their business operations in a streamlined way. 

Applying security controls and policies in a Zero Trust network:

At the center of the Zero Trust architecture lies a security enforcement policy. All the identities, devices, networks, applications, and infrastructure components of an organization need to be configured with the appropriate security policies. The policies should also be configured so that the devices remain coordinated with the overall Zero Trust strategy of the organization.

For example, device policies can be used to determine the exact criteria for healthy devices, while conditional access policies allow healthy devices to access certain networks and applications. These policies also impact empowerment, employee, and customer engagement models and reduce the chances of data breaches.

Nowadays, companies worldwide are trying to embrace a zero-trust approach to facilitate remote work over a shared cloud network and digitally transform their business operations. Zero Trust principles can be used to establish security principles while maintaining flexibility to be on par with the fast-paced world.

Many companies implement Software-Defined Perimeter (SDP) solutions as a part of their Zero Trust strategy to dynamically create secure, micro-segmented connections for users and devices, reducing the chances of security threats. Role-Based Access Control (RBAC) can also strengthen the boundaries of shared cloud environments.

The importance of monitoring and auditing in the successful implementation of Zero Trusts:

Monitoring and auditing the various cloud activities and behaviors is a vital step towards maintaining the security of the shared cloud environment. This step involves collecting and analyzing the various logs and metrics to improve the visibility of the different operations of the cloud environment.

Through rigorous governance, the cloud activities offers insight into the performance of the various assets. Utilizing highly advanced monitoring tools like User and Entity Behavior Analytics (UEBA) can be used to detect any suspicious activities or anomalies in the cloud environment.

Continuously monitoring the security boundaries of an organization using Endpoint Detection and Response (EDR) solutions can also help identify vulnerabilities, outdated software, or signs of compromise on devices.

Securing the Future with Indium Software’s Zero Trust Solutions:

Now, you can streamline your Zero Trust journey amid all your business operations with Indium Software. By choosing Indium Software as your Zero Trust implementation partner, you can ensure that all your assets and endpoints meet the NIST (National Institute of Standards and Technology) requirements.  The experts at Indium Software will help you deploy tools and techniques to manage the security aspects of your shared cloud environment dynamically.

You can instantly change and monitor access policies while allowing your business operations to run smoothly. Zero Trust also provides you the scope to collect, analyze, and correlate information about the state of the different assets in your environment in real time. So, if you are willing to revamp your security strategy, contact the experts at Indium Software and avail of their services.

Conclusion:

As companies have increased their reliance on shared cloud setups, it has become imperative for organizations to implement a zero-trust strategy in their workplace environment. The “never trust, always verify” approach, coupled with robust identity and access management, network segmentation, security control, and continuous monitoring, provides a strong foundation for securing shared cloud services. By implementing Zero Trust, you will be able to safeguard your critical assets and manage the boundaries of your shared cloud environment much better.

The post Zero Trust Architecture in Shared Cloud Environments appeared first on Indium.

The application of technology in the financial sector is one area that has experienced significant innovation in recent years. With an ever-changing corporate and consumer emphasis, the new buzzword “FinTech” is being ingrained in the industry, and with it, greater choice and an enhanced user experience are becoming the norm. 

This piece will focus on the impact of technology on the banking sector, and digital adoption, 5G capable devices, increasing awareness about various digital initiatives have led to a fundamental shift in the way we perceive banks and banking. Let us dwell deeper to ascertain these changes in detail. 

Fin-Tech Lending   

The number of individuals who do not have access to banks is one of the most overtly discussed financial inclusion insights today. Due to their reliance on cash and inability to acquire credit or loans, a significant section of the society is left out from the traditional banking framework.  

Additionally, they deal with high transaction costs while handling their finances, and traditional financial institutions frequently treat them unfairly. 

Fintech lending helps lenders make quick and more informed lending decisions by leveraging technology and APIs.  

Several business models within fintech lending, including peer-to-peer lending, mortgages, business loans. 

• Peer to peer lending – This process involves connecting people who need money with the ones who want to lend, in exchange the fintech organization collects a commission. 
• Mortgages – Some fintech leverage technology to improve the lending process and themselves provide the entire loan amount.  
• Business loans –Small businesses need capital to grow but are not eligible due to the higher perceived risk from traditional banking organizations. This is where fintech lending comes into help. 

Neo Banking  

Neo banks are financial institutions that focus on the digital world and provide banking services like checking accounts and debit cards without having a physical site. Neo bank and fintech bank are terms that are frequently used interchangeably. Neo banks provide financial services in a customer-focused, digital-only style with the goal of streamlining the banking process. 

Our banking practices have evolved along with technology. The banking sector has seen more competition in recent years because of smaller, digital-only institutions. 

Unlike the conventional banking practice where clients wait in banks for a long time, neo banks make things easier. Apart from distributing paychecks early to their customers through online platforms, they also lower the cost of their services. 

Neo-banks are able to offer customized solutions like – 

• Co-branded credit cards for working professional.  Partner with an airline/chain of restaurants 
• Higher Education loan to students based on their internet searches.  
• Joint-home loans for couples based on their individual credit scores.  

Bancassurance  

The bancassurance concept is still relevant to meet the comprehensive demands of clients as consumer financial needs become more complicated. The ability of banks and insurers to work together, broaden their clientele, and cross-sell their services, however, can occasionally be limited by compartmentalized operations and onerous sales and compliance procedures. 

Since many users of financial services are adopting digital channels, banks and insurers must strengthen their collaborations so that they can respond to consumer demands together and harness their knowledge of customers, products, and technology to transform how they serve their shared clientele. 

Leveraging data from the mobile banking apps has enabled the bank to understand customer behavior. Bancassurance has been leveraging AI, machine learning, deep learning, artificial neural networks, blockchain and IoT. This has enabled the sector to shift from detecting and repairing work to predicting and preventing mode.  

Major Changes in bancassurance sector due to AI: 

• Firms are able to predict a human’s usual city of residence by using data from every source including geo-location. Premiums can be lower if you stay in low polluted city as compared to a highly polluted one. Time you spend in each city can define your premiums. 
• By leveraging activity tracker wearables, the companies are fine-tuning the premiums to make them more competitive. 

AI Customer Service   

Customer service is perhaps the area where FinTech is having the most impact on the banking and financial industries. A strong customer service staff used to be essential for any business dealing in finance. Any activity involving the management of money or financial affairs requires qualified personnel who can aid individuals and solve difficulties. 

However, using chatbots to connect with clients has quickly become the standard. While an AI that develops and becomes smarter seems a nice idea, in practice it isn’t human, and its adoption is sure to put humans out of their jobs. 

Business Intelligence Banking 

Before recently, the only financial data that could be gathered was basic customer data like name, address, and transaction history. Business intelligence involves turning large amounts of data into useful information. 

Business intelligence aims to make data more accessible and innovative so that it may be utilized to inform important business decisions. 

As a result of their own mobile applications, online portals, and other digital resources, financial institutions now have access to enormous amounts of priceless, first-party client data. 

Business intelligence in banking is the use of analytics tools to produce interactive data visualizations that end users for banks and financial service providers may build on desktop computers.  

A uniform aggregation of data is a necessity if you want to apply business intelligence techniques to your advantage. Because of this, companies are using software tools like Power Bi, Tableau and Domo to swiftly comprehend, examine, and evaluate large data. 

Predictive Banking 

The capacity to accurately anticipate the future has long been prized. People have pursued it throughout human history, using every tool and discipline at their disposal to achieve it, from the scientific to the paranormal. 

Finally, it appears that we’re as near to future understanding as we’ll ever be, helped by machine learning and big data. 

For banks, predictive data analytics may be very helpful in identifying possible dangers and possibilities. For instance, a bank may utilize predictive analytics to foresee probable shifts in market circumstances that could have an effect on its operations, such as changes in the regulatory environment or interest rate variations.  

This can assist the bank in risk management that is proactive and resource allocation choices that are well-informed. 

Advanced Data Protection  

Concerns about data privacy are of the utmost importance for businesses in the financial and healthcare industries. 

A compromise of the sensitive data that banks and other financial organizations handle about their clients might have serious repercussions.  

Data privacy issues are continuing to spread as we rely more and more on the cloud to store information and handle financial transactions online. 

In order to safeguard their data, banks must ensure that their systems adhere to the highest encryption requirements. For instance, with a well-developed banking app, even if someone manages to intercept your data, they won’t be able to view anything you do on the app.  

Financial institutions are therefore advised to use reliable encryption methods such as Transport Layer Security (TLS) and Advanced encryption standard (AES). 

Conclusion 

Financial institutions have a crucial necessity to keep up with the constantly evolving digital transformation process as one of the top service businesses. 

I advise starting this journey by ensuring that all leaders and decision-makers at your organization acknowledge the significance of this shift. It will be extremely challenging to accomplish these changes without a shared commitment and support. 

How can Indium help? 

Indium has been helping leading BFSI organizations enhance their business potential with customized digital solutions. Indium has a large team of skilled engineers with deep domain expertise in Cloud Technology, AI & Analytics, Web & Mobile App development and so on.

To know more about the services we offer, write to info@indiumsoftware.com. 

The post Technology Induced Changes in the Banking Sector appeared first on Indium.

Traditional financial planners are losing out on new customers and income to businesses that are nimbler and have lower overhead. This is because the old-school methods aren’t cutting it for new-school investors, even if more wealth is entering the market than ever.

This piece will cover the key things you need to know about the changing landscape of the wealth sector and also answer some common questions about business transformation in wealth management.

How the Landscape of Wealth Management is Changing

In times past, clients had a banker, an insurance agent, and an investment advisor. The desire for a new service model from the customers, however, led to the creation of financial advisors.

A financial adviser is a single individual with expertise in each of the three fields of banking, insurance, and investments.

The wealth management landscape changed over a decade ago. This is because technology has made information accessible and free.

Because some investors view advice as a commodity, it is now possible to get the services online. These services include financial investment information, banking transactions, and safeguarding assets with insurance.

Without an advisor, though, you risk skipping some important phases in your investing decisions if you disregard financial services.

The investors of today desire a smooth, individualized, pro-active experience of the modern world.

And because standardized digital interactions make today’s clients feel like they’re “one of a million” rather than “one in a million,” traditional wealth managers typically fail to deliver this experience.

Consumers still want advisors to generate more while offering account management services and a flawless client experience, even if trust among first-time investors is at an all-time low.

As a result, businesses reliant on outdated technology won’t exist in the years to come.

Key Factors in Wealth Management

Although there are different factors that necessitate wealth management, I will list below the major drivers or factors in WM.

1. More Regulations and Compliance Requirements

When we think about investment, a lot of rules and regulations are alien to us. Therefore, to deal with all the regulations and compliances, we have to get the legal proceedings out of the way.

This is where the wealth managers provide value by applying knowledge to help clients navigate all the legal proceedings.

2. Variety of Financial Products

In today’s scenario, there aren’t just one financial product layer to invest in. Rather, there are many options, and it can get complicated sometimes when we want to choose a financial product.

In this case, you need the expertise of the wealth managers who’d make proper analysis which will help decide the financial product for you to invest.

3. Demand for Diversification of Investments

This is essential to today’s growing need for wealth management services, among other things. The diversification of an investment is necessary when we discuss raising the value of our assets to receive greater returns.

For instance, you could choose to invest in an asset class that ultimately performs poorly, which might result in losses.

Therefore, it is preferable to diversify your investment across several asset classes and industries in order to cope with losses. In this manner, other sectors may perform well even if one area doesn’t.

The Most Common Changes in the WM Landscape

The paradigm shift in the wealth sector now sees investors prioritizing transparency and risk management. Below are the common changes in the WM Landscape.

1. Challenges Within Organizations

The wealth management industry hasn’t been able to effectively translate its many potentials into viable business ideas.

Due to a collision of structural and cyclical factors, revenues, margins, and costs have all experienced significant pressure. The customer has access to top-notch guidance at their fingertips for a significantly discounted price. Increased digitization has made this feasible.

As a result of greater regulatory scrutiny and legislative reforms, the wealth management industry has also experienced significant problems.

2. Technological Advancements

The availability of advice and individualized financial solutions, which were formerly more exclusive to wealthy individuals, has increased.

Due to the rising digitalization of the advising system, the lower strata of wealth customers who were previously provided standardized investment solutions now have access to professional investment advice at a significantly reduced cost.

3. Behavior of Clients

In the current situation, the client’s expectations of appropriate and tailored counsel play a key influence in the decision to work with a wealth manager.

Additionally, advice that was previously restricted to investments and was more generic in nature has expanded to include liabilities, succession planning, taxation, risk management, and even as specific as budgeting and spending controls.

Wealth managers’ recommendations focus more on controlling risk and meeting client needs than they do on simply analyzing the performance of a portfolio of assets.

In order to satisfy their investment needs and guarantee that their objectives are in line with the shifting market dynamics, investors expect simple and convenient processes.

As a result, the wealth management industry is investing a lot in technology to expand its market and meet the rising demand for financial solutions.

Read our blog on: Challenges in WM industry and How can Tech Reshape it

Questions Relating to Business Transformation in Wealth Management

Conclusion

The wealth sector’s paradigm shift is here to stay, and wealth managers and advisers must be very adaptable to it.

The wealth management industry will undergo a paradigm shift in the next years as a result of the rising number of intelligent investors willing to place opportunistic bets and take charge of their financial destinies as well as the acceleration of globalization.

Indium Software has been delivering critical solutions in the areas of AI, Data & Analytics, Cloud for several leading BFSI institutions.

To know more about the solutions we offer, please write to us at info@indiumsoftware.com

The post The Changing Landscape of Wealth Management appeared first on Indium.

Monolithic architecture has unorganized code that makes updating difficult and time-consuming for developers. In modern times, where businesses need to constantly evolve their systems to meet their customers’ needs, legacy systems cannot evolve as quickly. Even making small changes or updating just one part of the application can be difficult.

Must Read:  Diagnostics Management Application Development Using Mendix

From Monolithic to Microservices Using Low-Code

Migrating the legacy system to a modern system is challenging for another reason. Since businesses are still using these systems for mission-critical operations, any disruption will affect business continuity and operations. Therefore, replacing the entire system with a modern one may be risky.

The incremental move of legacy applications to a modern architecture using microservices can enable pacing to ensure minimum disruption with optimal performance. Furthermore, low-code development platforms such as Mendix can facilitate easy migration based on the unique needs of businesses.

With low-code development, businesses can create a streamlined path facilitating visualization and collaboration. Low code reduces the dependence on the IT team as even non-technical users can use drag and drop to build apps efficiently and increase the business value of the app.

Mendix’s low-code platform allows businesses to decentralize and simplify the system, improve the efficiency of the applications, and become more agile to meet changing business and user needs. This increases the resiliency and also enables the updation of individual services without impacting the entire system. Mendix low-code also allows the IT and business teams to speak a common language, thereby simplifying the process of app development. With microservices, organizational complexity can be reduced as smaller groups of stakeholders can be assigned specific responsibilities.

7 Benefits of the Mendix Platform

Modernization using the Mendix low-code platform for modernization offers many benefits, including:

Prioritizing App Modernization

The modernization effort can be gradual, thus improving the return on investments of the existing systems while building mission-critical apps on priority. This ensures that the most important requirements get addressed first, while the rest of the operations continue unhindered.

Enhancing the Capabilities of the Legacy Systems

It can extend the capabilities of legacy systems by automating processes, building web and mobile apps, and developing new functionalities.

Leveraging Mendix Features for Faster Development

Mendix offers a variety of reusable components, collaboration tools, developer toolkits, technology, and resources necessary for developing cutting-edge solutions that seamlessly integrate with the existing systems, leaving the core foundation intact. Mendix Data Hub facilitates connecting and integrating microservices with existing systems using industry-standard protocols and interfaces like SOAP, REST, JDBC, and OData.

You might be interested in: The Benefits of Low Code and What It Means for Your Business

Easy Management and Upgradation

Mendix is a future-ready technology that facilitates easy maintenance, upgrades, and modernization to ensure app agility, flexibility, and scalability. It enables the proactive monitoring of apps to ensure their performance quality to reduce technical debt and enhance maintainability. The Mendix Control Center provides a centralized view of the application architecture, such as UIs, data models, and user bases.

Focus on Usability

Mendix allows developers to take a user-centric, design-thinking approach to app building with new capabilities and the removal of redundant features. With greater focus and user engagement, app success can be enhanced, leading to increased revenues, customer loyalty, and brand reputation.

Using a Microservices Approach

When migrating using the Mendix low-code platform, business-oriented microservices can enable the development of individual components for specific functions. There could be several microservices that integrate to form a single application, making it easier and quicker to develop, test, and deploy new apps without disrupting the entire system.

Extensibility

Mendix allows businesses to have access to data and applications and export them when needed on its open and extensible platform. It also allows the replication of functionality, allowing the continuous evolution of apps on Mendix. Apps can also be reused and automation can lower the total cost of ownership.

Modernize on Mendix with Indium

Indium Software is a cutting-edge software development company that helps businesses break barriers to innovation by providing bespoke solutions to accelerate growth. As a Mendix expert, we enable the continuous iteration and improvement of enterprise apps, introduce new ideas, and speed up delivery to reduce time to market and self-actualization.

Indium helps businesses leverage Mendix low-code platform to build a variety of solutions including;

• SaaS-based apps
• Customer portals
• Smart apps with IoT enablement
• Mobile interfaces and apps
• Automation of internal processes

The Indium team of Mendix experts works closely with our customers to analyze the existing infrastructure, and identify mission-critical apps that need to be updated, replaced, repurposed, or reused. This streamlines migration, thus modernizing businesses quickly to minimize disruption and maximize resources.

Indium in short:

• Mendix practice of 6+ years
• More than 50 active customers
• Developed nearly 350 customized applications

Indium has one of the largest number of certified low-code communities globally and is an end-to-end solution provider. We also have a dedicated low-code academy, constantly training and retraining our team to meet the needs of our customers.

FAQs

The post <strong>Using Mendix to Modernize your Legacy App</strong> appeared first on Indium.

The wealth management sector has evolved over the past decade and continue to do so at a faster pace. This implies that to stay afloat in this sector, wealth management firms need to adopt newer technologies.

Further ahead, we will explore the various nuances within wealth management industry.

The Concept of Modern Wealth Management

There are many developments taking place in the wealth management sector. These modifications will unavoidably make it easier for individuals of all ages to make investments and achieve their financial objectives.

However, certain aspects never change, such as agility, adjusting to new demands, and ensuring that client-centricity, trust, and openness are not jeopardized.

Many industries now see digitally driven solutions as the standard, instead of being a competitive edge. Thanks to the COVID-19 pandemic, this adoption has accelerated across industries.

Businesses may be transformed by technology, which can also improve interactions, user experience and produce specialized solutions that add significant value to satisfy customers.

In order to gather and use data, wealth management firms are now considering solutions driven by artificial intelligence and machine learning solutions. This facilitates the development of customized solutions for customers by wealth managers.

The Different Kinds of Wealth Management

Wealth management, for the majority of financial advisers, is about establishing a long-lasting connection with their customers and giving them peace of mind knowing that competent wealth professionals in the wealth sector are looking after their assets.

A knowledgeable financial adviser can assist you with the various kinds of wealth management.

Let’s examine each of them more closely.

1. Financial Planning & Asset Allocation

This kind of wealth management is centered on giving you financial advice depending on your financial situation in order for you to accomplish both your short-term and long-term financial objectives.

Financial consultants will specifically assist you with budgeting, investing, retirement savings, tax preparation, and other tasks.

Choosing the right kind of assets is of utmost importance and a knowledgeable wealth manager will assist in managing risks and profits while varying the number of investments.

2. Tax Accounting

Tax payments and returns are the main emphasis of this branch of wealth management. Tax accountants may assist you with your taxes, which may be challenging because of investments you have made, by helping you determine what deductions you can make so that you pay less during the tax season.

3. Asset Management

As the name suggests, managing your money is the main focus of this kind of wealth management. By assisting you in purchasing stocks, bonds, funds and then keeping track of them for you, asset managers help you achieve your financial objectives.

Asset allocation and asset management are distinct from each another because asset allocation places a greater emphasis on high-risk, high-reward assets.

4. Estate Planning

Establishing a strategy for handling your estate in the event of your incapacity or passing is the main goal of this sort of wealth management. Works in conjunction with tax planning vertical as well since passing on the wealth invokes wealth tax in most geographies.

How Wealth Management Benefits You

The fundamental benefit of wealth management is that it combines various elements of money management and financial planning into a holistic solution centered on your individual requirements and goals.

Also, you get to have peace of mind with your finances as a personal wealth manager will be assigned to you irrespective of your needs. They will design and manage a custom investment strategy for you by using their expert expertise and in-depth understanding of your future aspirations.

These needs could range from structuring or transferring wealth to planning your rent payment structure.

Below are some ways in which you can benefit from modern wealth management.

• You get offers of impartial wealth planning guidance for all facets of your money.
• Direct communication with your wealth manager, which fosters trust and accountability.
• You get to have regular updates on the performance of your investments from your wealth manager.
• Access to a portfolio of investments tailored to your needs, risk tolerance, and stage of life.
• You have experts looking after your money, saving you time and trouble.
• Suitable investment possibilities have been sourced globally.

What it Takes to Be a Modern Wealth Manager

1. Certifications

Although qualifications may differ amongst Wealth Management organizations, a bachelor’s degree is the minimum certification needed in the industry. Additionally, if you want to stand out in the market, you should get certain qualifications in a discipline that is linked to money, like accounting.

2. Versatility

Modern wealth managers need to be versatile because the sector constantly evolves. Also, they have to be knowledgeable in areas of sustainable investments, be emotionally attuned to customers of all ages, and knowledgeable about intricate financial and economic concepts. They must also follow the regulations and bring in money.

In other words, a wealth manager of today must be a “Renaissance Person”.

 Advisors should take the initiative to keep their skills in tune with the current market demands. That way, they won’t rely solely on what their firms provide. This is known as continuing professional development (CPD).

Therefore, modern wealth managers and private bankers must ensure they are not left behind in terms of their professional development which is expected to be continuous.

3. Tech-savvy Abilities

Technology is undoubtedly the core of new age wealth management. Today’s wealth managers must embrace diversity and be tech-savvy.

Private banking is no longer only about men conversing with clients in rooms; instead, it has undergone significant transformation. In that regard, the industry has evolved in step with changes in other sectors.

Digital technology definitely plays a significant role in other skill sets, considerably more so than just knowing how to use Teams or Zoom to communicate with clients or fill out online forms.

Digital Transformation In Wealth Management

Better Customer Relationship and Improved Portfolio Management

Technologies like Advanced Analytics, AI & ML can transform personal data into more tailored insights for customers. It helps wealth managers to provide holistic advice to their customers and connect better with the new generation.

Enhanced Flexibility and Scalability

Like any other industry adopting to cloud provides scalability and flexibility to assets and clients being managed. It helps the firms to save on data storage hardware and maintenance costs. For better security and compliance, cloud is proving to be the best way forward for the industry.

Improved Compliance and Digital Documentation

Intelligent Automation can improve efficiency and accuracy in data migration and asset management compliance. Optical character recognition (OCR) and Intelligent character recognition (ICR) are being used for error-free and quick identification and transfer of data from paper to digital systems.

Conclusion

Today, a lot of digital technologies are being employed to improve customer interactions, reporting, and analysis. If technology is properly used, it may significantly improve how people connect with one another.

And how can Indium help in this area?

• Automate wealth management workflow thus integrating front office, middle office, sales, and back-office functions.
• Our award winning Tex.ai can be used to extract insights from various sources, thereby helping financial institutions create customized products and services and focused promotions to improve conversions and enhance overall customer experience.
• By leveraging our cloud solutions financial institutions can modernize their infrastructure, meet rapidly changing customer behaviours and expectations, and drive business growth.

The post All About New Age Wealth Management appeared first on Indium.

L.L. Bean turned to Google Cloud to fulfill its cloud requirements. By modernizing data on, it experienced faster page loads and it was able to access transaction histories more easily. It also focused on value addition instead of infrastructure management. And, it reduced release cycles and rapidly delivered cross-channel services. These collectively improved its overall delivery of agile, cutting-edge customer experience.

Data Modernization with Google Cloud for Success

Many businesses that rely on siloed data find it challenging to make fully informed business decisions, and in turn accelerate growth. They need a unified view of data to be able to draw actionable, meaningful insights that can help them make fact-based decisions that improve operational efficiency, deliver improved services, and identify growth opportunities. In fact, businesses don’t just need unified data. They need quality data that can be stored, managed, scaled and accessed easily.

Google Cloud Platform empowers businesses with flexible and scalable data storage solutions. Some of its tools and features that enable this include:

BigQuery

This is a cost-effective, serverless, and highly scalable multi-cloud data warehouse that provides businesses with agility.

Vertex AI

This enables businesses to build, deploy, and scale ML models on a unified AI platform using pre-trained and custom tooling.

Why should businesses modernize with Google Cloud?

It provides faster time to value with serverless analytics, it lowers TCO (Total Cost of Ownership) by up to 52%, and it ensures data is secure and compliant.

Read this informative post on Cloud Cost Optimization for Better ROI.

Google Cloud Features

Improved Data Management

BigQuery, the serverless data warehouse from Google Cloud Platform (GCP), makes managing, provisioning, and dimensioning infrastructure easier. This frees up resources to focus on the quality of decision-making, operations, products, and services.

Improved Scalability

Storage and computing are decoupled in BigQuery, which improves availability and scalability, and makes it cost-efficient.

Analytics and BI

GCP also improves website analytics by integrating with other GCP and Google products. This helps businesses get a better understanding of the customer’s behavior and journey. The BI Engine packaged with BigQuery provides users with several data visualization tools, speeds up responses to queries, simplifies architecture, and enables smart tuning.

Data Lakes and Data Marts

GCP’s enables ingestion of batch and stream/real-time data, change data capture, landing zone, and raw data to meet other data needs of businesses.

Data Pipelines

GCP tools such as Dataflow, Dataform, BigQuery Engine, Dataproc, DataFusion, and Dataprep help create and manage even complex data pipelines.

Discover how Indium assisted a manufacturing company with data migration and ERP data pipeline automation using Pyspark.

Data Orchestration

For data orchestration too, GCP’s managed or serverless tools minimize infrastructure, configuration, and operational overheads. Workflows is a popular tool for simple workloads while Cloud Composer can be used for more complex workloads.

Data Governance

Google enables data governance, security, and compliance with tools such as Data Catalog, that facilitates data discoverability, metadata management, and data class-level controls. This helps separate sensitive and other data within containers. Data Loss Prevention and Identity Access Management are some of the other trusted tools.

Data Visualization

Google Cloud Platform provides two fully managed tools for data visualization, Data Studio and Looker. Data Studio is free and transforms data into easy-to-read and share, informative, and customizable dashboards and reports. Looker is flexible and scalable and can handle large data and query volumes.

ML/AI

Google Cloud Platform leverages Google’s expertise in ML/AI and provides Managed APIs, BigQuery ML, and Vertex AI. Managed APIs enable solving common ML problems without having to train a new model or even having technical skills. Using BigQuery, models can be built and deployed based on SQL language. Vertex AI, as already seen, enables the management of the ML product lifecycle.

Indium to Modernize Your Data Platform With GCP

Indium Software is a recognized data and cloud solution provider with cross domain expertise and experience. Our range of services includes data and app modernization, data analytics, and digital transformation across the various cloud platforms such as Amazon Web Server, Azure, Google Cloud. We work closely with our customers to understand their modernization needs and align them with business goals to improve the outcomes for faster growth, better insights, and enhanced operational efficiency.

FAQs

The post Data Modernization with Google Cloud appeared first on Indium.

Even though the financial services industry has long been affected by technological advancements and disruption, many FinTech technologies have been hesitant to penetrate the lucrative wealth management market.

Due to the numerous stakeholders in the wealth management sector, we are aware that the market is considerably larger than merely advisers.

So, let’s take a broader look and explore some of the industry’s current trends that you should be aware of.

1. Re-Platforming

One of the largest developments in the field is Re-Platforming, which is also known as “upgrading.” Re-platforming is merely an upgrade that entails swapping out your platform’s outdated IT technologies for more recent ones.

Given how long it takes to implement new systems, this upgrade is crucial, and making these updates is important since it will affect your customers and how you interact with your provider.

Re-platforming or upgrading may be a laborious process that requires years to complete before you reach your desired level, but the results are rewarding.

2. Limiting Compliance Cost

The regulatory compliance reporting process may be simplified to a large extent by technology. As a consequence of continuous changes, businesses and professionals are increasingly using affordable solutions that streamline operational processes.

Partnerships with solution providers are anticipated to become essential for firms to quickly respond to changes in the regulatory landscape and to confidently fulfill regulatory requirements.

3. Regulatory Technology

Regulations may and usually do change. To ensure that it is always compliant, your business has to have a strong compliance system in place.

RegTech tools may assist your wealth management business cut costs on fines, manpower, and the cost of enacting new laws. In order to help your business with regulatory compliance, choose a RegTech solution.

Regulation technology is a significant development that wealth management professionals need to be aware of. Companies spend a lot of money each year dealing with compliance concerns, even if it’s simply making sure that you are being compliant.

RegTech reduces compliance-related problems while improving the effectiveness and efficiency of the whole compliance process.

It might be interesting to read about Challenges in the Wealth Management Industry and How can Tech Reshape it

4. Agile Distribution

Professionals in wealth management have turned their attention from goods to customer service. Companies are increasingly making substantial use of automation and insight-based solutions.

With the use of this technology, businesses may respond to customer expectations for individualized services and market developments.

The main goal of agile distribution is to enable next-generation capabilities by changing a company’s service delivery paradigm to one that is based on agile principles.

From a regulatory and operational standpoint, technologies like cloud computing, big data, APIs, and artificial intelligence allow businesses to adapt without having to implement whole new systems that are unable to match the shifting demands.

In other words, agile distribution refers to contemporary technology that is quick to respond to changes in operational, legal, and customer demand without requiring the implementation of new technology or specialized development effort.

This eventually makes it simpler to service clients and increase efficiency, enabling businesses to respond to changing client requests more quickly.

5. Use of Virtual Tools

Numerous changes in wealth management are undoubtedly being driven by technology advancements in the sector.

Despite the industry’s past reluctance to accept new technology, developing tools provide fantastic opportunity for businesses to increase their bottom line.

By assisting customers with frequent, automated reports of their assets, virtual tools can free up advisors’ time so they can concentrate on finding new clients and giving advice. Additionally, automating numerous customer contacts eases financial strains.

By facilitating data-driven judgments, virtual tools might also encourage investors to modify their behavior. And by proposing actions for customers, tools like next-best-action engines may assist advisers in streamlining their roles and duties.

6. Internet of Things

Despite the widespread use of Internet of Things (IoT) technology, the wealth management industry has been slower than others to do so. The time has arrived to start making future plans and offering your clients better product choices.

For asset managers, IoT devices open up new data sources, but capturing real-time spending and saving data does more than just allow them to give more tailored solutions.

Furthermore, it assists clients in discovering areas of their lifestyle that they might not have been consciously aware of.

IoT technology is typically employed for practical tasks like monitoring a client’s assets, but it may also be applied to improve operational efficiency, satisfy customers, and make products more affordable.

7. Augmented and Virtual Reality 

Tools like augmented reality and virtual reality are excellent for helping wealth managers connect with the younger customers who are beginning to take over the industry.

These innovative technologies not only assist in luring in younger consumers, but they also aid in educating them about the advantages of wealth management in a way that is more engaging and simpler to comprehend.

Long-term success will depend on how well a wealth management company can explain the value of their service to younger clients who may not be familiar with the services they offer.

AR and VR will be instrumental in helping forward-thinking organizations communicate with and educate their potential clients, which is something that wealth management firms must be creative about.

The most intriguing and promising technological advancements now in development are augmented reality (AR) and virtual reality (VR).

Despite the fact that it can appear like AR and VR have no role in wealth management, that is just untrue.

8. Machine Learning to Correct Bias Decisions

One of the pillars of wealth management is decision making. Even the most seasoned wealth managers are prone to making biased decisions.

This is unarguably why a wide range of sectors and companies have adopted the use of machine learning and found it to be profound.

The accuracy of the predictions made by machine learning techniques will increase with the amount of data you provide.

Successful wealth management companies can recognize when emotion or intuition is driving a trade and make rational change as a consequence.

The fact that the bulk of high-net-worth individuals are older and accustomed to conducting business in a particular way is perhaps the main reason why the wealth management sector has lagged behind the financial services sector overall.

On the other hand, you may be confident that you’ve done a fantastic job based on worldwide benchmarks thanks to these technological advancements.

How can Indium help

We at Indium, can –

• Automate wealth management workflow thus integrating front office, middle office, sales, and back-office functions.
• Our award winning Tex.ai can be used to extract insights from various sources, thereby helping financial institutions create customized products and services and focused promotions to improve conversions and enhance overall customer experience.
• By leveraging our cloud solutions financial institutions can modernize their infrastructure, meet rapidly changing customer behaviours and expectations, and drive business growth.

The post Top Technology Trends Driving the Wealth Management Industry  appeared first on Indium.

With nearly 70-80% of organizations are now in the year 2022 using container-based services according to Gartner prediction, there comes the need for container orchestration. Scheduling containers, provisions for life cycle and health checks, monitoring, authentication, scaling, networking, Image registry and for metrics and logging.

Kubernetes and OpenShift are the two widely used container orchestration tools. This article will bring you the benefits of OpenShift over Kubernetes.

Let’s go through the common problems faced by the customers in container orchestration and how OpenShift provides the solution to mitigate the problems.

Use Cases

Organisations who are all using Kubernetes orchestration tool already, are facing lot of challenges.

a. The main and the bigger challenge is managing the security of the Kubernetes cluster and the application. Its organization’s own responsibility to enable authentication & authorization, manage security vulnerability scanning and run periodic security patches

b. Another challenge is designing the cluster network and its configuration. The manual network configuration may lead to create complex network setup which will leads to performance lag.

c. Another one is misconfiguration of cluster nodes and pods. The master node and the worker node configurations are very crucial part, and it is very hard to trace and debug the misconfiguration.

d. DevOps tools integration with Kubernetes is a time-consuming process as we have to setup the CI/CD tools manually and integrate them with OpenShift.

OpenShift has the solutions for all above use cases. OpenShift reduces the time to market from 40-60 % and it saves the 50-60 % of the debugging time.

Now we can see, the overview of Kubernetes and OpenShift and then how OpenShift has the benefits over Kubernetes.

Overview of Kubernetes

Kubernetes as a cluster container orchestration tool, provides a powerful processing structure wherein pods are replicated to ensure application is working effectively and reliably. Hence Kubernetes provides scaling, failover, application isolation and processing speed for applications.

Kubernetes automates deploying, managing, and scaling containers, while other capabilities like automation, monitoring, log analytics, service mesh etc need to be manually configured by the users.

With all that Kubernetes do to orchestrate containers, integration of other components like networking, ingress, load balancing, storage, monitoring, logging , CI/CD pipeline, multi cluster management and accelerating development and deployment of containerized applications at scale need to be done by the user.

Overview of OpenShift

OpenShift comes as a cloud offering by RedHat to provide all these capabilities with Kubernetes at its core. It is powered by OKD (Origin Kubernetes Distribution) which includes

– Kubernetes

– Docker

– Istio

– Tekton

– Prometheus

– Grafana

– RHEL Core OS

OpenShift offered as a cloud-enabled PaaS by RedHat is convenient to develop cloud-based services at a faster rate.

OpenShift helps in managing development lifecycle, standardize workflows, build CI/CD pipeline, and release management for the fastest delivery of applications.

Some of the new features of OpenShift

Podman – The Linux-native tool to develop, manage, run open container and initiative containers and pods. Maintains different caches for different users.

Service Mesh – Just like Istio, controls how different parts of the application share data with one another, helps monitor and track code, create routes for deployments, and test error handling without disturbing code.

Operators Hub – installs software quickly, handles control plane applications, operating system upgradation, databases and events letting the developer focus more on the code.

Source to Image (S2I) – When building containers, the S2I build in OpenShift complies the code from source, build a container image, and push it to registry, all without having to write a Dockerfile.

IDE integration – helps in developing locally, debugging the code, and maintain pipelines.

Key Features and Solutions in OpenShift

1. In-built security – Increased security in OpenShift by offering “Secure by Default” and “Container cannot run as root”. Kubernetes doesn’t provide in-built authentication and authorization leaving the developers to create bearer tokens and RBAC.

2. Native Network Solutions – Networking in Kubernetes requires 3rd party plugins whereas OpenShift has the out-of-the-box networking solution called Open vSwitch, which comes with three native plug-ins.

3. Integrated CI/CD tools – The time-consuming process of deployment in Kubernetes is addressed by the DeploymentConfig of OpenShift, by means of creating an application and a project and have the DevOps automated delivery process.

4. The OpenShift routers – The routers allow the external access services and is regarded as more matured than the Kubernetes ingress.

5. Visual control – The web interface of Kubernetes is complex for a beginner to learn and adapt to .On the other hand OpenShift provides a better user experience like the on-touch login.

6. In-built container Registry – Kubernetes has no integrated image registry whereas OpenShift has inbuilt image registry and pairs seamlessly with Docker Hub. Image streams are used to effortlessly search for and manage container images.

PoC on OpenShift

For beginners OpenShift is very good opensource container application platform and easy to learn than Kubernetes. To begin with simple OpenShift setup, we did a PoC on OpenShift through Hyper-V method and Virtual Machine method in Windows-10 machine. The MiniShift tool supports to configure the OpenShift cluster service. We have configured

projects for NodeJS & Python applications, configured monitoring the cluster and we can get the OpenShift control dashboard like this,

My Project Dashboard

Monitoring Dashboard

Assigning Static IP

The way we assigned the Static IP address to the OpenShift cluster through latest feature Virtual-Switch network configuration.

The following command will attempt to assign an IP address for use on the Internal Virtual Switch ‘MyInternal’:

PS> minishift.exe config set hyperv-virtual-switch “MyInternal”

PS> minishift.exe start `

  –network-ipaddress 192.168.1.10 `

  –network-gateway 192.168.1.1 `

  –network-nameserver 8.8.8.8

Having dealt with the fairly advantageous features of OpenShift it will be no surprise that many organisations are opting for OpenShift and making use of it to the best of their capabilities.

The post OpenShift – An edge over Kubernetes appeared first on Indium.

Data warehouses form the basis of a data analytics program. They help enhance speed and efficiency of accessing various data sets, thereby making it easier for executives and decision-makers to derive insights that will guide their decision-making.

In addition, data warehouse platforms enable business leaders to rapidly access historical activities carried out by an organization and assess those that were successful or unsuccessful. This allows them to tweak their strategies to help reduce costs, improve sales, maximize efficiency and more.

AWS Redshift and Snowflake are among the powerful data warehouses which offer key options when it comes to managing data. The two have revolutionized quality, speed, and volume of business insights. Both are big data analytics databases capable of reading and analyzing large volumes of data. They also boast of similar performance characteristics and structured query language (SQL) operations, albeit with a few caveats.

Here we compare the two and outline the key considerations for businesses while choosing a data warehouse. (Remember, it is not so much about which one is superior, but about identifying the right solution, based on a data strategy.)

AWS Redshift

It offers lightning-quick performance along with scalable data processing without having to invest big in the infrastructure. In addition, it offers access to a wide range of data analytics tools, features pertaining to compliance and artificial intelligence (AI) and machine learning (ML) applications. It enables users to query and merge structured and semi-structured data across a data warehouse, data lake using traditional SQL and an operational database.

Redshift, though, varies from traditional data warehouses in several key areas. Its architecture has made it one of the powerful cloud data warehousing solutions. Agility and efficiency offered by Redshift is also not possible with any other type of data warehouse or infrastructure.

Essential and key features of Redshift

Several of Redshift’s architectural features help it stand out.

Column-oriented databases

Data can be organized into rows or columns and is dictated by the nature of the workload.

Redshift is a column-oriented database, enabling it to accomplish large data processing tasks quickly.

Parallel processing

It is a distributed design approach with several processors employing a divide-and-conquer strategy to massive data tasks. Those are organized into smaller tasks which are distributed amongst a cluster of compute nodes. They complete the computations simultaneously rather than in a sequential manner. The result is a massive reduction in the duration of time Redshift requires to accomplish a single, mammoth task.

Data encryption

No organization or business is exempt from security and data privacy regulations. One of the pillars of data protection is encryption, which is particularly true in terms of compliance with laws such as GDPR, California Privacy Act, HIPAA and others.

Redshift boasts of robust and customizable encryption options, giving users the flexibility to configure the encryption standards that best suits their requirements.

Concurrency limits

It determines the maximum number of clusters or nodes that can be provisioned at a given time.

Redshift preserves concurrency limits similar to other data warehousing solutions, albeit with flexibility. It also configures region-based limits instead of applying one limit to all users.

Snowflake

It is one of prominent tools for companies that are looking to upgrade to a modern data architecture. It offers a more nuanced approach in comparison to Redshift, which comprehensively addresses security and compliance.

Cloud-agnostic

Snowflake is cloud-agnostic and a managed data warehousing solution available on all three cloud providers: Amazon Web Services (AWS), Azure and GCP. Organizations can seamlessly fit Snowflake into the existing cloud architecture and be able to deploy in regions that best suit their business.

Scalability

Snowflake has a multi-cluster shared data architecture, which allows it to separate out compute and storage resources. This feature helps users with the ability to scale up their resources when they require large data volumes to load faster and scale down once the process is complete.

To help with minimal administration, auto-scaling and auto-suspend features have been implemented by Snowflake.

Virtual-zero administration

Delivered as a Data Warehouse-as-a-Service, Snowflake enables companies to set up and manage the solution without needing significant involvement from the IT teams.

Semi-structured data

The Snowflake architecture enables the storage of structured and semi-structured data in the same destination with the help of a schema on a read data type known as Variant, which can store structure and semi-structured data.

Redshift vs Snowflake: which is right for you?

Features: Redshift bundles storage and compute to offer instant potential to scale to enterprise-level data warehouse. Snowflake, on the other hand, splits computation and storage and provides tiered editions. It thus offers businesses flexibility to buy only the required features while maintaining scaling potential.

JSON: In terms of JSON storage, Snowflake’s support is clearly the more robust. Snowflake enables to store and query JSON with built-in and native functions. On the flip side, when JSON’s loaded into Redshift, it splits into strings – making it challenging to query and work with.

Security: While Redshift consists of a set of customizable encryption options, Snowflake offers compliance and security features geared to specific editions. It thus provides a level of protection most suitable for an enterprise’s data strategy.

Data tasks: A more hands-on maintenance is necessary with Redshift, particularly for those tasks that cannot be automated, like compression and data vacuuming. Snowflake has a benefit here: it automates many of such issues, helping save substantial time in diagnosis and resolving of those issues.

Final thoughts

Whether it is Redshift or Snowflake, when it comes to business intelligence (BI), both are very good options as cloud data warehouses. Irrespective of the choice of data warehouse, getting all the data to the destination as quickly as possible is essential to provide the background required for sound BI.

The post AWS Redshift vs Snowflake: Which One Is Right For You? appeared first on Indium.

According to research and analyst firm Gartner, end-user spending on public cloud services is set to reach USD 304.9 billion in 2021, growing at a compound annual growth rate (CAGR) of 18.4 percent since last year. It is also worth mentioning that a vast majority of organizations using cloud services plan to increase their spending on cloud (further!) to overcome the disruption of the global health crisis.

The rise in cloud spending is likely to be sustained for a few years, Gartner says, with organizations increasing their investments in remote-working technologies, mobility, collaboration and more.

In return, what advantages are organizations aiming to gain from spending on cloud engineering services, which include analytics, business intelligence, databases, networking, software, et cetera? Let us find out.

Centralized data access

When data is siloed across your content management systems, marketing automation, ERPs and numerous other systems, it’s challenging to get a comprehensive view of your business and decision-making is harder too.

Cloud-based data analytics platforms help organizations by integrating all the data into a single point of access for every user to make business decisions.

Among the key advantages of having centralized data access is you can eliminate duplicate entries of data, provide executives and decision-makers with the right data at the right time, reduce the time spent to identify which gathered data is right, and enhance data intelligence capabilities of the organization.

Security and governance

Governance may be challenging but security is built into cloud analytics platforms, helping you configure user permissions to make sure everyone in your organization has access to the data they need while also ensuring accountability and transparency.

With the increasing volume of customer data being collected and used in 2021, organizations must ensure that privacy and governance requirements are met.

Today’s customers want to know what details of them are being collected and where they are stored. It is possible they will lose faith in an organization if their personal details are widely accessible.

Gartner predicts that, until 2025, 90 percent of organizations which fail to control public cloud use will inadvertently share sensitive data, which also means identity and access management (IAM) will be a key challenge for individual and machine users in 2021 and beyond.

Scalability

Instead of purchasing new hardware as data requirements change, cloud analytics platforms provide organizations with the option to turn on or turn off their services as required. For example, you can scale up your services quickly if you have a spike in data and, when the activity is normal, scale back down.

The ability to scale up or scale down cloud resources helps organizations to significantly reduce the risk that comes with rapid growth. Most applications can be managed cost-effectively on the cloud and be easily migrated using lift-and-shift strategies.

This flexibility further helps organizations to provide innovative products and services and not be constrained by infrastructure that does not suit their current requirements.

Data sharing and availability

The best cloud-based analytics platforms and solutions provide business users easy access to data, enabling them to analyze and explore in every possible context.

From laptops to smartphones, cloud analytics services also give users a comprehensive, unified experience irrespective of the device, including being able to analyze and share data and applications anywhere.

Cost savings

According to a McKinsey study, legacy systems account for 74 percent of a company’s IT expenses while affecting agility too.

With cloud services, no upfront costs are involved as the cloud service provider fulfills all infrastructure needs. Less power consumption and the lack of need for in-house expertise for server and software maintenance result in even more cost savings with cloud platforms.

Cloud service providers also have multiple data centers and offer resilience with data replication, which is particularly useful during a system crash or natural disasters such as flooding.

In addition, updates and upgrades happen automatically on cloud-based data analytics platforms. This saves organizations significant costs as they don’t have to worry about ongoing maintenance which is typically part of on-premise servers.

Summary

From providing centralized data access to reducing costs, cloud-based analytics solutions are helping companies get maximum value from their data. As the volume of data grows exponentially, cloud is very much the future of data analytics as it provides agility and fosters company-wide use of analytics for data-driven business decisions.

The post 5 Key Advantages Of Cloud-based Data Analytics Platforms appeared first on Indium.