Data Governance Frameworks Struggle to Keep Pace With Growth

As institutions accumulate ever-larger volumes of customer and transaction data, many are finding their governance frameworks were not designed for this scale, leading to inconsistent data quality across departments. Establishing clear ownership, standardised definitions and data quality checks is proving essential before advanced analytics initiatives can deliver reliable results. Institutions that invest in this unglamorous groundwork are finding it pays off significantly when more sophisticated data initiatives are eventually deployed.