Transformation story
Transforming fragmented business data into an AI-ready reporting platform.
A mid-market training and simulation organization transformed fragmented business data into a centralized, governed reporting platform – improving visibility across operations, finance, and project delivery while correcting early AI adoption challenges and laying a scalable foundation for future AI and automation initiatives.
THE CLIENT
INDUSTRY
Training & Simulation
Employees
200+
LOCATION
North America
THE STORY
Fragmented data, limited visibility.
THE STARTING POINT
This organization’s data ecosystem was spread across NetSuite, Mavenlink, and JIRA, with no centralized reporting layer to unify insights. Power BI relied on live-source connections, limiting historical data visibility and making consistent reporting difficult. As a result, decision-making was impacted by incomplete and disconnected data.
At the same time, the organization began building early AI use cases, driven by strong enthusiasm and business demand. Through discovery, it became clear these initiatives were being developed on an unstructured foundation – introducing future cost, scalability limitations, and potential security risks. To move forward confidently, the organization needed a centralized, governed data platform to support both accurate reporting and long-term AI success.
THE CHALLENGE
-
Data Fragmentation
The business’ critical data was spread across NetSuite, Mavenlink, and JIRA with no centralized reporting layer. -
No History
Power BI relied on live data, limiting historical analysis and trend visibility. -
Inconsistent Reporting
Disconnected systems made it difficult to generate reliable, consolidated insights cross the business. -
Manual Effort
Data consolidation required significant manual work, reducing efficiency and visibility.
THE SOLUTION
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Modern Data Platform
We designed a centralized data platform built on a SQL-based data warehouse, creating a governed foundation for reporting and analytics. -
Data Integration
Implemented Azure Data Factory pipelines and API-based integrations to automate data ingestion from NetSuite, Mavenlink, and JIRA. -
Centralized Transformation
We structured and standardized incoming data within the warehouse to support consistent, reliable, and historical reporting. -
Reporting & AI Enablement
Repointed existing Power BI reports to the centralized platform and established a scalable foundation for advanced analytics and future AI initiatives.
TECHNOLOGIES INVOLVED
THE IMPACT
Unified data, actionable insight.
This engagement represents the beginning of an ongoing journey, as the organization continues to build a scalable, secure AI strategy on top of its newly established data foundation.
