Case Study
Enterprise Data Platform Modernization
A presales case study showing how a fragmented reporting environment was reframed into a cloud data platform opportunity with a clearer business case and implementation path.
Client Context
A financial services organization was operating across fragmented legacy data systems, with reporting teams and business units relying on inconsistent and slow-moving data.
Business Problem
The customer needed to reduce reporting delays, improve data consistency, and establish a scalable analytics foundation without creating another disconnected platform.
My Role
I led discovery, translated reporting and governance pain points into architecture requirements, and partnered with sales to position a modern cloud data platform in business terms.
Outcome
The solution narrative reduced ambiguity around the target architecture, improved stakeholder alignment, and supported a deal path centered on faster reporting, stronger governance, and a credible foundation for future AI use cases.
Situation
The customer had multiple data silos, inconsistent reporting logic across teams, and slow turnaround for business-critical reporting. What appeared to be a technical modernization problem was also a trust and decision-making problem: leadership could not rely on the same numbers across functions.
Approach
I structured the engagement around four questions:
- Which reporting and governance pain points were most commercially significant?
- What architecture would reduce duplication without overcomplicating the migration path?
- How should the solution be explained differently to executives, analysts, and technical evaluators?
- What near-term value could justify the platform investment?
The discovery work focused not just on tools, but on operating friction: reporting latency, reconciliation effort, governance gaps, and future readiness for advanced analytics.
Solution Narrative
The proposed solution centered on a cloud-native data platform with clearer ingestion patterns, governed transformation layers, and a reporting environment designed for consistency and scale.
Rather than positioning it as infrastructure replacement alone, I framed it as a business improvement initiative with three linked outcomes:
- faster and more reliable reporting
- stronger cross-functional trust in shared data
- a practical foundation for advanced analytics and AI adoption
Presales Relevance
This case study demonstrates the ability to:
- translate fragmented technical symptoms into a business-priority architecture case
- run discovery that surfaces both operational and strategic drivers
- position modernization in terms executives can support
- connect platform design to adoption credibility and commercial value