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Case Study: Spotfire to Power BI Migration

Case Study: Spotfire to Power BI Migration   Domain – Oil & Gas Our client is a global oil exploration & production company and holds a position within the Fortune 500 and Forbes Global 2000 rankings.

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Case Study: Spotfire to Power BI Migration

 

Domain – Oil & Gas

Our client is a global oil exploration & production company and holds a position within the Fortune 500 and Forbes Global 2000 rankings.

The Business Challenges

The Problem Statement

  • Performance issues: Our client encountered significant performance challenges in Spotfire when dealing with larger datasets. ‘Out of Memory’ errors became frequent.
  • Dataset Optimization: The existing dataset definitions in Spotfire were not optimized for efficiency and reusability.
  • User Experience: Extended loading times in Spotfire negatively impacted the user experience causing frustration and delays in accessing critical.
  • Learning and Adoption: Resistance to change and unfamiliarity with the new tool posed potential obstacles.
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The Business Solution

  • Assessment & Planning: We performed a comprehensive assessment of existing Spotfire environment. This included identifying all reports, dashboards, data sources, and customizations.
  • Data Migration: Data Source were mapped and migrated to Power-BI compatible formats.
  • Report and Dashboard Migration: Each Spotfire report and dashboard was analyzed to determine whether it should be recreated in Power BI
  • User Experience Improvement: Migration to Power BI decreased the total loading time resulting in better user experience.
  • User Training & Adoption: A robust training program was developed to familiarize users with the Power BI interface.

Key Results

  • Better Performance: Power BI eliminated ‘Out of Memory’ errors, enabling seamless handling of larger datasets.
  • Latest Technology Support: Power BI’s flexibility supported the adoption of cutting-edge technologies for data analysis.
  • Comprehensive Analytics: The client now has robust tools for performance, costing, and software analysis.
  • Efficient Data Updates: Power BI’s incremental data loading reduced processing times for updates.
  • Cost Savings: Lower TCO (Total cost of ownership) & Increased Scalability

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