Data Governance Refinement Service

To say data governance is complicated is putting it lightly. According to one survey, the average number of data sources in a single organization is 400, and nearly one-quarter manage data from 1,000 or more sources. Across these systems, enterprises generate an estimated 6.4 zettabytes of new data per year. With those estimates continuing to increase, the world of data governance can seem too big to solve.  Even beyond the overwhelming mass of data, several intricate factors often contribute to the stagnation of data governance programs. One of the primary culprits is the absence of clearly defined objectives and measurements. What is considered a valuable data asset in one corner of the organization may not hold the same significance elsewhere, making it imperative to align diverse perspectives on data value. Additionally, some programs falter due to their overly broad scope or murky prioritization, leading to a lack of focus and direction. Cost also looms as a significant barrier, as data governance initiatives often span multiple years, posing a challenge in justifying the investment when the individuals funding the program may not be the direct beneficiaries. Bridging this gap between cost and benefit becomes a pivotal task as the person paying the price and making it better is not usually the person receiving the benefit.  Moreover, the intricate web of dependencies across various business units, each driven by their unique priorities, can complicate the orchestration of a cohesive governance strategy. Thus, addressing these multifaceted challenges is essential to ensuring the success and sustainability of data governance efforts.