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Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.
The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.
This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structureddata (e.g.,
RED’s focus on news content serves a pivotal function: identifying, extracting, and structuringdata on events, parties involved, and subsequent impacts. Riskmanagement : Understanding the correlation between events and stock price fluctuations helps managerisk.
Here, the ability of knowledge graphs to integrate diverse data from multiple sources is of high relevance. As you can see from the slide below, knowledge graphs can provide a single access point for various types of data such as structureddata, knowledge organization systems, transactional data and signals from unstructured content.
Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structureddata types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.
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