Data Landscape Consolidation
Unification and governance of enterprise data assets on Azure PaaS
Client: Market Analytics Firm, USA
25%
faster delivery of new analytical products
3
new analytics products on shared platform assets
Hub-and-spoke
one governed platform instead of duplicated tooling
Challenge
The data technology landscape had grown fragmented: inconsistent tools, the same data extracted and stored twice over, no standardization. It cost money, slowed everyone down and left little that could be reused across products.
Solution
A centralized data platform on Azure PaaS in a hub-and-spoke architecture — data assets unified, redundancy removed, engineering effort streamlined, and governance and security enforced rather than assumed.
Implementation
- 01One platform of reusable assets: pipeline templates, IaC modules, CI/CD
- 02Centralized data catalog with automated metadata management
- 03Security policies, monitoring and access models put in place
- 04Data exploration and hypothesis testing opened up to analysts
- 05Delivered Agile, high-priority use cases first
Business impact
Redundant data extraction and storage cut, and costs with them
25% faster delivery of new analytical products
3 new analytics products launched on shared platform assets
Better data management, discoverability and security
Analysts served by self-service and exploratory tools
Technology stack
Have a complex system to build or modernize?
Tell us what must change. We will bring the relevant domain and engineering leads into the conversation.