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case study

Data Virtualization Technical Assessment PoC

DefineRight helped a mid-sized biotech company improve access to decentralized data through a Data Virtualization PoC. By integrating datasets from multiple warehouses into a unified system, DefineRight enhanced data accessibility and cut time to insight by over 20–25%, supporting better decision-making and strategic planning.

About the Customer

A global mid-sized biotech company was facing significant inefficiencies in accessing and utilizing data from disparate data warehouses across its commercial function.

the Challenge

  • Data Siloing: Data was spread across multiple data warehouses, making it difficult to quickly access and aggregate the data needed for analysis.
  • Time to Access Data: It took 1-2 weeks to access siloed data, impacting the speed of decision-making.
  • Impact Analysis and Time to Market: Changes to downstream systems required hours or even days for impact analysis and 15-30 days to surface a new dataset.
  • Duplication of Effort: Teams were working in parallel on the same tasks due to the lack of a central, accessible data repository, leading to duplication of effort.

DefineRight Solution

Data

Data

  • Data Identification: Analyzing and shortlisting the relevant datasets that are critical for solving the problem.
  • Data Understanding: Evaluating the nature of the data—where it resides, how it’s used, and how it impacts business processes.

People

People

  • Stakeholder Engagement: Interacting with relevant stakeholders to understand their specific pain points and objectives.
  • Business Alignment: Ensuring alignment between the technical solution and business needs by gathering input from users and decision-makers.

Process

Process

  • Governance Framework: Exploring governance mechanisms needed for scalability at the enterprise level, such as data governance, quality, and security protocols.
  • Process Efficiency: Identifying process improvements by reducing time for data access, impact analysis, and data integration.

Technology

Technology

  • Tool Evaluation: Exploring and testing potential technology solutions.
  • Feasibility Study: Analyzing whether the selected tools are technically and operationally feasible for the business.

Outcome

  • Efficiency Gains: The centralized data system streamlined data access and utilization, improving overall efficiency by 20-25%.
  • Faster Decision-Making: With data more readily available, the client was able to make more informed decisions faster.
  • Scalability: The solution was designed to be scalable, accommodating future data needs and changes in business requirements.

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