Power BI is one of the newest and most advanced analytics technology systems on the market. What makes it unique among other tools? What are the best ways for Tableau to Power BI migration and how to make the most of its advanced analytics? How can you assure user acceptance throughout your own rollout? So, where do you begin? What should you stay away from? There are a few approaches to successfully establishing a new platform, regardless of the commercial use.
There are a few essential processes that a business should plan for before, during, and after implementing any new analytics technology. Power BI is no exception, but the resulting analytic insights, data-driven decisions, and automation will pay for themselves tenfold.
Why should you use Power BI?
Power BI is built on top of Microsoft’s Azure cloud, which is one of the largest, fastest-growing, and most stable cloud systems available. You may be aware of the advantages of using Power BI with Excel and Microsoft Teams, but the versatility extends even further. Most modern cloud data warehousing systems (not just Azure), on-premise databases, and hundreds of other connector options can be used with Power BI reporting. Power BI REST APIs can be used to support large-scale enterprise deployments. When you combine Power BI with the Microsoft Power Platform, which includes PowerAutomate, you can transform your reporting system into a fully integrated solution that provides both insights and action.
The Power BI product team’s objective is to make data analytics accessible to everyone by delivering a low-code to no-code experience for all aspects of data analysis. Every month, Power BI adds new analytics and visualization features, as well as a growing marketplace of third-party visualizations. Customers can access features like natural language generation, emotion scoring, image tagging, automatic aggregations, and more by combining best-in-class data visualization with autonomous AI insight generation powered by Azure.
Related Reading: Power BI Vs. Tableau | Which Is the Best Data Visualization Tool?
Economic Subscription Options: The cost of integrating analytics into a company’s business processes has never been lower. Anyone can download and use the Power BI Desktop program for free. Monthly Pro subscriptions start at $10 per month for sharing insights throughout a company. Premium subscriptions start at $20 per month and unlock all advanced AI and large data prep tools. All while allowing business intelligence solutions to scale with large amounts of data.
Self-Service Analytics: Power BI makes it faster and easier for decision-makers to get the data they need when they need it, and in the most insightful format possible. The paradigm for data cultures has evolved thanks to Power BI. IT professionals, data scientists, business analysts, and non-technical consumers can all benefit from Enterprise BI. Power BI gives customers more choice over how they access and consume data in a familiar Office-style, dubbed “PowerPoint for Data” by some.
Best Practices for Tableau to Power BI Migration
1.) Construct Modern Architecture
Cloud-Based: While Power BI can be built on top of on-premise systems, a cloud-based data warehouse will be faster, cheaper, safer, and more scalable than any on-premise system. Make sure Power BI is a dependable layer of analytics on top of this base.
Standardized: Consider how many different sites an analyst can obtain the same data from. Is there a central source of truth for each business unit? Create a three-tier data architecture that makes use of master data pieces.
Automated: ETL overhead into your data warehouse should be minimized. Spend less effort on data maintenance and more time prototyping sophisticated analytical capabilities.
2.) Create a Migration Roadmap
Don’t move a muscle until the way ahead is clear—how difficult it is to change direction once poor habits and processes have been established. Understand the following key points:
Subscriptions: Determine your architecture’s requirements depending on your estimated user base and associated expenditures. Consider the architecture of Power BI Pro, Power BI Premium, or AAS. Begin small and gradually expand. Data volume, velocity, and volatility should all be taken into account.
Role Definitions: Once you’ve chosen a subscription, the data integration, modeling, and reporting activities that lie ahead become evident. Clearly identify the roles of data engineers, data modelers, front-end engineers, and analysts on your team. Ensure that each role is appropriately staffed and specified in order to finish your Tableau to Power BI migration on time. Establish role-based access governance from the start.
Important considerations: Identify the most important reports in your company—the ones that influence critical decisions. Here’s where you can begin your Power BI migration. improve the decision-making process and pique decision-makers interest in full migration. Adoption will come from the top down, so involve your decision-makers in user acceptance testing sessions on a regular basis.
3.) Education and Training
You’re developing reporting systems that will help you make critical decisions now and in the future. To achieve buy-in and understanding, developers and end-users of the tools must engage in a continuous discussion.
Power BI Developers: Power BI developers should be familiar with the principles of data modeling best practices, Data Analysis Expressions language (DAX), and version control techniques for continuous integration and continuous delivery, among other things. Internal technical talent investments might help your company develop a data culture.
Data Analysts: Assist data analysts in navigating the Power BI world as both end-users and creators. Share reporting and analysis distribution guidelines, including how to make the most of self-service capabilities like dataflows, verified datasets, and more.
Business Users: You’ve missed the mark if your applications are too tough to access or comprehend. Data-driven decision-making should be aided, not complicated, with Power BI. It must become second nature to know where and how to get high-priority data.
Everyone: Sharing the success stories that come from utilizing Power BI is the best approach to drive adoption. This momentum can swiftly boost your Tableau to Power BI migration process and encourage new users to rely on your applications.
Are you looking for an expert team for Tableau to Power BI migration and data estate audited, please chat with one of our Power BI consultants.