Setting up an enterprise-level Power BI architecture for Semicon company, transforming their BI ecosystem

Client: Marvell Semiconductor

Industry: Semiconductors

About the Client

Marvell is a leading semiconductor company that excels in developing and producing semiconductors and related technology. With a strong presence in the United States and India, Marvell has earned the trust of the world's foremost technology companies for over 25 years. Its advanced semiconductor solutions empower seamless data movement, storage, processing, and security, aligning with customers' present demands and future aspirations. Through a culture of extensive collaboration and transparency, Marvell is at the forefront of revolutionizing the way tomorrow's enterprises, cloud, automotive, and carrier architectures transform for the better

The Business Benefits

  • Tableau to Power BI and ODI to Python migration helped Marvell Leverage the next-gen integration and analytics capabilities
  • Analytics solution on major cloud platforms lead to better scaling and performance optimization
  • The Client achieved integrated enterprise data warehousing solution in Cloud
  • Received cost benefits with Power BI as Tableau is cost-prohibitive and has complex licensing structure

Business Requirements

Jade was approached by Marvell to modernize its IT System Landscape by leveraging proactive innovations like RPA, AI, ML, and Cloud Migration Strategies. For achieving enhanced business performance, the Client needed Jade to evaluate and compare its Infrastructure, Data Management, Business View, Analytics and Governance.

Tableau to Power BI Track

  • Decommission Tableau on premise platform by migrating reporting workloads to Power BI Premium
  • Design and configure best-practice Power BI Premium Enterprise architecture
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Business Challenges

enterprise-level

Tableau Reports to be converted were very complex than expected

enterprise-level

Marvell wanted to use the Microsoft certified visuals thus limiting options for workarounds/visuals

enterprise-level

Multiple Procedures needed to be created for 1 ODI procedure resulting in additional timeframe

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