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Iterative Implementation<\/h3>\n\n\n\n
As mentioned above, it is appropriate for data governance to be implemented small as long as it is allowed to evolve. This evolution in terms of spread or complexity is better done iteratively. This iterative inclusion must encompass day-to-day operations, integration of governance with business needs, prioritizing specific data assets, or use cases among others. These iterations should run breadth first to ensure coverage before depth and complexity.<\/p>\n\n\n\n
…and Establish a Data Culture<\/h3>\n\n\n\n
As people start seeing the value of data, and data quality they will start putting in that much care and start owning data and its related quality. This of course is a generic Change Management concern, to locate the supporters and evangelists but surely is the most difficult part of the overall Governance program because it deals not with the inanimate.<\/p>\n\n\n\n
We have seen organizations use various forms of interventions; from CXO level folk setting examples to recognition for high quality sources or identification of right use cases, training, publication etc. <\/p>\n\n\n\n
Having said all that, what is most important is to break the inertia and getting started. Many organizations continue to struggle till their Data Governance frameworks and policies stand in silos. Embedding them into business as usual ways of working is what makes the critical domino topple. <\/p>\n\n\n\n
How far is your Data Analytics program evolved? Did you find it easy or difficult to set up Data Governance? We would love to hear your experiences. Do visit our web site<\/a> or write to us<\/a>. <\/em><\/p>\n","protected":false},"excerpt":{"rendered":" Knowing the importance of data is one thing, and so is appreciating the importance of data quality. However, ensuring data quality and sanctity over time needs a sustained effort through Data Governance, which in term extract value from your data. here are 5 steps. <\/p>\n","protected":false},"author":4,"featured_media":223,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,19,20,11],"tags":[85,86,88,94,154],"class_list":["post-218","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence","category-data","category-digital","category-transformation","tag-data-analytics","tag-data-governance","tag-data-quality","tag-digital-transformation","tag-mis"],"yoast_head":"\n