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Data Governance Has Built the Foundation. What Comes Next?
The next measure of maturity is not how much data an organisation controls. It is how effectively that foundation helps the enterprise decide, simplify, change and scale AI. Data governance has done essential work. As data estates expanded and regulatory expectations increased, organisations needed clearer ownership, stronger controls, consistent definitions and evidence that critical data could be trusted. Starting with the highest-risk domains was logical. In regulated indu

Marc Price
3 min read
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Rules Upon Rules Upon Rules
The Hidden Cost of Accumulated Logic in Enterprise Processing Chains In organisations, especially in the financial sector, the integrity of reported numbers is rarely the core issue. The real challenge is understanding how those numbers came to be. Over decades, financial institutions and other complex enterprises have constructed multi-layered processing chains in which data moves from source systems to data management layers, onward to ledgers, and eventually into managemen

Christian McGuinness
3 min read
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