With the use of interactive dashboards, personalised graphics, and intuitive data visualisations, Domo lets you create your own stories. Furthermore, it provides data governance and role-based access controls to guarantee that users can only access the information that they are authorised to see. To further safeguard your data visualisations, you can quickly and easily set up single sign-on and multi-factor authentication.

This guide is intended to assist beginners in learning the fundamentals of Domo and creating powerful data visualizations that drive business results.

Getting Started with Domo

To get started with Domo, you must first create an account. To do so, visit the Domo Website and register for a free trial. After you’ve created your account, log in to access the Domo dashboard. Domo’s dashboard is the primary interface for interacting with data in the software. It displays a summary of all your data connections, reports, and dashboards. To make a new report or dashboard, go to the dashboard and click the “Create” button.

Given the volume of the client’s data, the current procedure made it necessary for the SAS Data Admin to manually intervene and made it necessary for key decision makers to wait three days before viewing useful processed data.

Workflow for Domo Data Visualization

The workflow for data visualisation in Domo typically includes the following steps:

1. Data Connection

Domo offers numerous data connection options, including databases, spreadsheets, cloud-based applications, and APIs. To connect to a data source, go to the dashboard’s “Data” tab and then click on “Connections.”

Once you’ve selected your data source, follow the on-screen instructions to connect to it. You can also use Domo’s data connectors to bring in data from popular sources such as Salesforce, Google Analytics, and more.

2. Data Transformation

After connecting to your data source, you can begin transforming the data. To do so, go to the “Data” tab and then click “Transform.”

Domo offers a simple drag-and-drop interface for data transformation. Data transformation options include filtering, merging, and pivoting. You can also use the “Calculated Fields” feature to create custom calculations based on your data.

3. Data Visualization

Once your data has been transformed, you can start visualizing it. To do so, go to the dashboard’s “Visualize” tab and then click “Create.”

Domo provides a wide range of visualisation options, such as bar charts, line charts, pie charts, and more. You can also create custom visualisations based on your data by using the “Custom Visualizations” feature. Simply drag and drop the data elements you want to visualise into the visualisation builder to create a visualisation. To further customise your visualisation, you can add filters, calculated fields, and other data elements.

4. Creating Dashboards

Dashboards are an effective way to communicate insights and share data with others. To create a dashboard, go to the dashboard’s “Visualize” tab and click on “Dashboards.”

After you’ve created your dashboard, you can add visualizations, text, and images to create a comprehensive and interactive presentation of your data. You can also use the “Widgets” feature to add interactive elements to your dashboard such as charts, graphs, and maps.

5. Sharing and Collaborating

One of Domo’s most important features is its ability to share and collaborate on data. To share a report or dashboard, simply click the “Share” button.

You can share your report or dashboard with others by emailing them a link or embedding it in a web page. You can also limit who has access to the report or dashboard and what actions they can perform on it, such as viewing, editing, or commenting on it. This facilitates your teams to deliver data-driven collaboration and decision-making.

Business intelligence and data analytics depend heavily on data visualisation because this is how customers will see the outputs and outcomes they need. Check out this blog to learn more.

Domo vs. Tableau vs. Power BI

When comparing top BI tools, many factors must be considered. Keeping track of all business affairs is becoming increasingly difficult for any company, as large volumes of data pose a challenge to companies of all sizes. However, each of these three tools is capable of solving them in its own way.

Domo: How Can It Benefit Your Business?

1. Better Decision Making: By providing a centralized platform for data analysis, visualization, and collaboration, Domo enables businesses to make data-driven decisions, leading to improved outcomes and increased efficiency.

2. Improved Insights: With its powerful visualization options and ability to integrate with a wide range of data sources, Domo helps businesses gain new insights into their data, enabling them to identify trends, patterns, and opportunities.

3. Increased Productivity: By automating manual data collection and cleaning processes, Domo saves businesses time and resources, freeing up employees to focus on more strategic tasks.

4. Better Collaboration: With its sharing and collaboration features, Domo makes it easy for teams to work together on data, improving communication and collaboration among team members.

5. Improved Data Management: With its centralized platform for data management and analysis, Domo makes it easier for businesses to keep track of their data, reducing the risk of data loss or corruption.

6. Increased Flexibility: Domo’s cloud-based platform and ability to integrate with a wide range of data sources makes it easy for businesses to adapt to changing needs, increasing their ability to respond quickly to new opportunities.

7. Better Data Security: With its robust security measures, Domo helps businesses protect their data and ensure the privacy of their information.

Overall, Domo helps businesses turn data into insights and drive results, enabling them to make informed decisions, improve outcomes, and stay ahead of the competition.

Conclusion

When comparing Domo vs. Tableau vs. Microsoft Power BI, consider who will be using these tools.

Power BI is designed for the joint stakeholder, not the data analyst. As a result, the interface is more reliant on drag and drop and automatic features.

Tableau is equally powerful, but the interface isn’t entirely intuitive, making it more difficult to use and learn. Domo, on the other hand, is ideal for businesses looking for an all-in-one cloud-based data and analytics solution. It is used by many customers to supplement existing solutions. Given its flexibility and breadth, domo is a good choice for any organization looking to get more value from its data.

Domo is a powerful data management, analysis, and visualisation tool. Domo’s user-friendly interface, extensive data connections, and powerful visualisation tools make it simple for businesses to turn data into insights and drive results. Domo is a valuable tool for any organisation looking to harness the power of data, whether you are a beginner or an experienced data analyst.

We’ll get to the next interesting topic soon.

I hope this was useful.

Happy Reading…!!!!!

The post Domo for Dummies: A Guide to Creating Powerful Data Visualizations with Domo appeared first on Indium.

In today’s digital era of exponentially growing data, as significant and process oriented it is to extract the information from data, equally important is the process of visualizing those insights. The value of the insights gathered from the data processing and analyzing is justified when it is visualized in the right way. There is a shift happening from the traditional BI to modern BI which looks for a digital transformation with sophisticated features in an easy-to-use integrated BI environment. It focuses more on the accessibility and flexibility aspects irrespective of where the data comes from and where the analytics is viewed, all this while maintaining the data governance and the data security is where the BI is heading. 

When it comes to right way of visualizing, the best thing to do is simulating and playing with the visualization and its underlying data.  Many tools provide this feature of interaction with the visuals in form of filters, tooltips, parameter selection, on click filters and many more options. But there are very few tools that emphasize on recording that input from interaction by the user and reflecting that on the view as soon as its refreshed. 

How about having the capability to give in your input and have some KPI’s get calculated on the fly based off those inputs without having to go to a new tool or new data source? How about looking at the current inventory status and see what would it look like if few orders are placed for certain items or what if the demand spikes?  

What-if Dashboards, the need of the hour: 

Having that visualization where you can simulate these situations is the need of the hour. All these are what-if situations which are very useful in being proactive.  What-if analysis has been the key to making informed decisions/actions reducing uncertainty. It keeps us prepared for the alternative scenarios that could occur and to know what and how it would impact. A tool that lets you do this with a complete customization to your case is a bliss. 

We have a way to achieve this through customized application development currently with lot of thought (Money as well!) to put into its execution with the traditional approach. With things to worry about the application development, its security, reliability, and infrastructure required like server to host the application amongst the others makes you forgo the whole idea. 

Domo, the futuristic BI tool: 

Domo has built the quintessential BI platform, one that is empowering businesses and the business users with the self-serviced analytics with a focus on embracing the modern BI perspective. It is working towards the same goals of accessibility and flexibility by integrating the data ecosystems in a business for customers as well as partners letting them make most of their data and have a data experience to commercialize it. Domo also has out of the box capabilities in terms of visualizations along with data cleaning and preprocessing. 

Domo has featured the custom application development which allows you get an input, host the application based on this data and store the interaction data all within the Domo environment. With the help of the APIs, we can not only host a view in Domo but also create a customized view altogether.  

We the team here at Indium have worked on creating 15+ custom apps for the clients to help them do the scenario-based analysis. The apps are visualization built that take inputs in terms of event information to be noted in the dataset and are expected to be merged with the dataset which is input to the view in the backend to reflect the new KPI values based on the input. 

As given in the architecture below, within the domo environment we have the dataset which is an input to the visualization and is also connected with the AppDb which stores all the interactions from the user given through the visualization. These interactions are pushed in the input dataset through the recursive ETL flows. These ETLs are set to run whenever there is an entry of an input from the user in the AppDb to reflect it on the Dashboard in real-time. 

Given the API connectors of Domo it is an easy task to access, read and writeback data into/from the Domo ecosystem. These API calls can be triggered from any user interaction made on the visualization. All the data governance rules are intact in implementing these API calls to read the data from the datasets. This gives flexibility to the user to give in their inputs and see the visualization change on the fly based of their inputs. The best part is all this can be achieved without having to worry about the infrastructure for application hosting.

Below is a dashboard that is showing the approval status of the invoices in a company. When a user clicks on the Approve button that action is immediately tracked back to the input dataset of the view and the numbers on the dashboard are changed accordingly. Also, the security is maintained by allowing on the intended user to approve certain invoice. We can further restrict the view to show only the invoices a user is expected to see. It helps us give the real-time view of the statuses for invoices.

Conclusion:

Embracing the Modern Business intelligence service’s evolution is the way to up the game in analytics. With Indium and Domo, we can help you achieve your analytics goals with a futuristic approach and help you utilize the data asset to the fullest.

The post How identifying the right tool for your “What-If analysis” determines its success appeared first on Indium.