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 Data governance is the foundation of all data management programs. It is an essential disciple that supports all other data management knowledge areas like Data Literacy, Data Warehousing, Business Analytics, Big Data, Master Data Management and many others. Data governance has 10 key components that exist to meet the enterprise’s data management requirements for each

Table of Contents 1. Reduce Data Redundancy2. Minimizing Security Risks3. Improving Data QualityDon’t miss an opportunity…  What’s the return on investment from data governance? As the result of Coronavirus, demand for data governance is increasing, and this is all at a time where resources are scarce, which means

Unfortunately a lot of data governance programs fail and there are many reasons why. The silver lining is that  there are great lessons from these failures that we can learn from and make sure that we will avoid them in our data governance program.   Here are the 9 keys to data governance success:__CONFIG_colors_palette__{“active_palette”:0,”config”:{“colors”:{“40f3f”:{“name”:”Main

What is a Business Glossary? At times I feel that the answer to this is obvious and that it does not merit its own article. But then I read a blog post, a LinkedIn post, a whitepaper, or even watch a webinar that talks about the Business Glossary, that talks about it incorrectly. That’s when