Data management discussions often center on the 4 Vs. Data volume is growing. Data velocity is accelerating. Data variety is increased. Data veracity… not so much.
We know that we need good data to produce good analytics. We also know that good data requires planning, care, and maintenance. We implement data protection and quality control. The process becomes one more complication for analysts and developers trying to get their jobs done.
Data Governance is a necessity. But it doesn’t have to be a burden.
Good analysts are interested in more than just creating another report or dashboard or solution. They want their results to be provably correct as well as useful. If we invite them to be part of the solution, most will happily dedicate the time needed to improve the quality of the data for everyone.
By introducing a guided model for collaborative Data Governance, we can improve Data Literacy across the organization, encourage participation across analytics and domain experts, and produce consistent Business Intelligence solutions across a global enterprise.
Enacting Data Governance as a participatory effort empowers architects, developers, and end users to contribute their unique insights. Increased interest and participation at all levels also produces a stronger Data Governance strategy and model while encouraging interaction between analysts and the domain experts they serve.
If we invite the data consumers to be part of the solution, they will no longer see Data Governance requirements as just another problem.
Join this session to hear more about Paypal’s data governance strategy.
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