Good data management is like a helpful guide for companies. It makes sure the data is good quality, safe and useful as well. Imagine it like a strong backbone that keeps everything clear and trustworthy in today\u2019s data world, helping companies face challenges with confidence.<\/p>\n
In a recent exploration of data governance, insights were gleaned from Elliot Huebler, responsible for managing data-related activities at Tredence.<\/p>\n
Tredence used to focus on AI and ML solutions, but now they are all about data engineering. They are into a bunch of things like making sure data is good, keeping it safe, following privacy rules and setting up how the organization works.<\/p>\n
Data cataloguing became important. It is like a handy program that helps keep everything in one place for managing different parts of how things are handled. According to Huebler, it is crucial because data cataloguing, data quality, data lineage, master data management, security, privacy policy are all the pillars of data governance.<\/p>\n
Huebler likens data catalogues to the Dewey Decimal System in libraries, making data easily navigable. It is like focusing on metadata, which makes things flexible without messing up the quality or safety of the data.<\/p>\n
While catalogues focus on metadata, actual data analysis tools are essential for security. One big challenge is getting people interested in using the data catalog. Tredence is making it fun with games and competitions. Huebler thinks it\u2019s really important that the big bosses support it and keep an eye on how things are going.<\/p>\n
In the future, Huebler thinks data catalogs will do even more for managing data. He is happy about AI making it easier to deal with data. As companies handle their data, these catalogs are like super important tools, making sure everything is done right and stays clear and reliable.<\/p>\n","protected":false},"excerpt":{"rendered":"