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New Findings Reveal that Data Governance Projects are Highly Prone to Delays and Failure
According to a new study released by Exeros, Inc., an innovator in automated data relationship discovery software, two-thirds of IT executives have delayed or abandoned data governance initiatives, revealing an alarmingly high failure rate for projects managing a company's most critical asset - its data. The survey, conducted by First Market Research, sought to understand the experiences of IT executives implementing and managing data governance projects.
Enterprises are expending enormous resources today on centralized data governance and integration projects like master (or reference) data management, metadata repositories or enterprise data warehouses. In fact, most Fortune 1000 companies have projects underway to better integrate their sprawling data empires, so they can implement enterprise-wide data governance.
According to survey results, delayed and abandoned projects have less to do with the change management or political pitfalls common to many large enterprise projects and more to do with the sheer complexity of understanding the existing business rules and relationships that direct how data is interpreted and mapped throughout enterprise systems. Both of these processes remain largely manual and require enormous staff-hours, which is compounded by the fact that more than 40 percent of respondents said the lack of skilled personnel was a key contributing factor to delayed and cancelled integration projects.
This piece is brought to you by the DM Review editorial staff.
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