Data Governance Let’s talk about a company called FinXYZ, a mid-sized financial services firm. They offer loans, investment advice, insurance, and wealth management. Over the years, they’ve collected tons of data—about customers, accounts, transactions, portfolios, risks, and compliance. But there’s a challenge. Different departments store and define data differently. For example, “customer” might mean a … Continue reading Improving Compliance with Data Governance
Tag: artificial-intelligence
How to Develop an Ontology in Your Organization
Data ontology is crucial for leveraging vast amounts of information in today's fast-paced world. It involves components like concepts glossary, hierarchy, attributes, relationships, and constraints, and it helps organizations make sense of data from different parts of the organization. Developing an ontology involves defining scope, concepts, hierarchy, properties, relationships, constraints, and generating specific instances. It's important to remember that ontology development is a dynamic process.
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