case study

Enhancing Finance Data Accessibility and Automation through Business Analysis

DefineRight served as the business analysis partner, working alongside a technical vendor building pipelines and KPIs in Redshift. We engaged stakeholders to understand requirements, mapped existing pain points, and collaborated on designing a centralized, automated system for data delivery.

About the Customer

Our client, a global mid-sized pharmaceutical company known for its innovation in R\&D, relied heavily on its Finance function for company-wide data delivery. This team served as a central hub for financial data warehousing and distribution, supporting multiple cross-functional teams with accurate, timely data for reporting and decision-making. The environment was complex, with multiple internal systems and a broad base of stakeholders across geographies.

the Challenge

  • There was no centralized system or structured schedule for financial data delivery.
  • Many stakeholder teams were not receiving data in a timely or usable format, leading to delays in reporting and decision-making.
  • Inconsistencies in data granularity and quality made it difficult for teams to draw meaningful insights.
  • With multiple systems and stakeholders involved, coordination was slow, and the lack of documentation further delayed progress

DefineRight Solution

Data

Data

  • To engage directly with stakeholder teams across the organization, understand their unique data needs, and define use cases

People

People

  • To identify and bridge the gap between business requirements and technical implementation

Process

Process

  • To analyze existing data flows, bottlenecks, and points of failure within the current finance operations.

Technology

Technology

  • To support the vendor team by translating functional requirements into specifications that guided the technical build

Outcome

  • Centralized warehouse with structured, reliable financial data
  • Faster, automated delivery cycles with fewer errors
  • Better data granularity and improved decision-making
  • Higher stakeholder satisfaction and engagement

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    Our Project

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