https://store-images.s-microsoft.com/image/apps.28778.d67faf38-eb20-49a4-bbb2-cda6a5a33df4.5186a0fb-eef7-4277-b894-367d8ca18463.e4e44dc8-a6a2-460d-ba4d-747589552896

TCS Migration Assistant for Microsoft Power BI

от TCS - Data & AI

Power BI,Power BI Migration,Tableau,QlikView,IBM Cognos,SAP BO,Webi Reports,Automation

Current Situation:

The organizations around the globe are moving their Business Intelligence capabilities to more recognized BI tools like Microsoft Power BI. However, there is no standard cloud native tool which can do a BI tool Migration on a click of a button. Whenever, an organization migrates to a new BI tool, data analysts will have to start the development from scratch as every BI tool is designed uniquely in terms of the backend engine, formulas, visualizations, capabilities, development approach.

  • Lack of standard cloud native tool which can do a BI tool Migration on a click of a button.
  • Data Analysts have to start the development from scratch.
  • Every BI tool is designed uniquely, the backend engine, the formulas, the visualizations, the capabilities, the approach, all these parameters differs with different BI tools.
  • Data Analysts have to sit with appropriate stakeholders to understand the requirements.
  • Data Analysts have to unlearn and relearn the new BI tool, its approach, its best practices etc.
  • Lastly, no organization want their data analysts to spend the same time as they did when they started their BI journey from scratch, instead they look for quicker Time to Insights (TTI) Approach.


TCS Solution:

TCS' X-BI to Microsoft Power BI Migration Approach along with Microsoft Azure cloud-based Migration Accelerator helps in smooth BI Tool transition for organizations around the globe . As a result, BI tool migration can be accelerated by 40 % for faster time to insights.


Solution Features:

TCS Migration Assistant for Microsoft Power BI is Microsoft Azure cloud-based solution that offers the following features:

  • Automated processing of BI tool file (Tableau, QlikView, SAP BO): Upload the BI Project file in the web application to trigger serverless analytics based on Microsoft Azure tools and services.
  • Readymade initial inventory of BI Assets: Get the BI asset inventory of a BI project that helps Microsoft Power BI developers to get the as is estate of the BI project to be migrated to Microsoft Power BI.
  • Azure AD based Authentication: Microsoft Power BI developers (users of the web application) login using Azure AD based authentication.
  • Save and Track project wise Progress: Microsoft Power BI developers (users of the web application) can save the migration progress for a BI project being migrated to Microsoft Power BI.
  • Generative AI Based Assistance: Use Generative AI based capabilities for DAX Query Conversion and Power BI based assistance during migration.
  • Post Migration Validation: Post Migration validation compares the as is state of the legacy BI tool with BI assets developed during the migration in Microsoft Power BI to generate automated comparison summary to identify intentional or unintentional gaps.
  • Report Rationalizer (Prioritize BI Asset Development): Rationalize, Categorize and Prioritize BI projects of legacy BI tool to be migrated to Microsoft Power BI.


Key Differentiators:

  • Cloud Native and Modernized - Based on Microsoft Azure
  • Cost Efficient & Time Saving- Microsoft Azure based serverless web application
  • Intelligent Search- Search vital parameters while developing BI asset
  • Validation- Perform post migration validation and checks
  • Report Rationalizer- Time Based Asset prioritizations for BI development

Бърз преглед

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https://store-images.s-microsoft.com/image/apps.25594.d67faf38-eb20-49a4-bbb2-cda6a5a33df4.5186a0fb-eef7-4277-b894-367d8ca18463.d88ff686-d63a-47a3-8a47-e9e555067278
https://store-images.s-microsoft.com/image/apps.55254.d67faf38-eb20-49a4-bbb2-cda6a5a33df4.5186a0fb-eef7-4277-b894-367d8ca18463.dd52c04d-45a1-412a-a3c6-dc5a1522efb0
https://store-images.s-microsoft.com/image/apps.24554.d67faf38-eb20-49a4-bbb2-cda6a5a33df4.5186a0fb-eef7-4277-b894-367d8ca18463.4c70709e-28da-4628-9447-083ac8d7adb6