How a PE-Backed Manufacturer Freed 200+ Analyst Hours a Quarter

The company grew through acquisition, and every business it bought arrived with its own SAP instance. Roughly 15 ran independently, most of them unintegrated, alongside Microsoft-based systems and hundreds of PL/SQL stored procedures, each producing its own numbers in isolation. The result was an organization that could not see its own data: any enterprise-wide view had to be assembled by hand, and consolidated reporting happened only once a quarter, months out of date by the time leadership saw it. Procurement and Sales had stopped waiting on central analytics and were funding their own Microsoft BI tools. The board had the budget and conviction to deploy AI, but with no single source of truth and no governed data an AI model could trust, every AI initiative stalled before it could start.

Ideas2IT took over the reporting operation from the California-based team within six weeks, then rebuilt the estate on a single governed platform on SAP Datasphere with BW. The roughly 15 SAP instances and the Microsoft-based systems were unified into one place behind one semantic layer. MigratiX, Ideas2IT's agentic data migration platform, profiled every source system, mapped schema relationships and business logic with confidence scoring, generated transformation scripts from an internal knowledge base, and ran dry runs against real source data before cutover, taking roughly 80% of the manual effort out of the migration. More than 50 SAP Business Objects reports were consolidated into Power BI with role-based access and row-level security, and reusable data products replaced one-off datasets, including a Purchasing Spend Analytics cube for indirect (MRO) procurement. Every dataset was governed, documented, and certified so an AI model could consume it, with procurement spend optimization scoped as the first AI use case.

Ideas2IT took over the California team's reporting operation within six weeks, then rebuilt the estate on a single governed platform using SAP Datasphere with BW. Roughly 15 SAP instances and the surrounding Microsoft systems were unified behind one semantic layer the whole company could read from. MigratiX, Ideas2IT's agentic data migration platform, did the heavy lifting: it profiled every source system, mapped schema and business logic with confidence scoring, generated transformation scripts from an internal knowledge base, and ran dry runs against real data before any cutover. That took roughly 80% of the manual effort out of a migration normally done by hand. More than 50 SAP Business Objects reports were consolidated into Power BI behind the new semantic layer, with role-based access and row-level security, and reusable data products replaced one-off datasets, including a purchasing spend analytics cube that gave procurement cross-enterprise visibility for the first time. Every dataset was governed, documented, and certified, the step that separates a reporting platform from one an AI model can trust. Procurement spend optimization is now scoped as the first AI use case.

PE-backed manufacturers and multi-site companies that grew through acquisition and now run a sprawl of disconnected data systems with no enterprise view. Most relevant where consolidated reporting still takes weeks or months, where business units have started buying their own BI tools to compensate, and where there is appetite to build toward AI but no data foundation under it yet.