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Data governance use cases – 3 ways to implement

Collibra

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

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Spigraph, Everteam & ImageFast Provide Critical Information Governance Solutions to European Market

Everteam

To support organizations in their efforts to manage their information properly, Spigraph is making two Everteam governance products available: everteam.discover and everteam.policy: everteam.discover is a file and content analytics solution that connects to both structured and unstructured data repositories across the organization.

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ODNI, NGA Officials Tout Modernization During the Current Pandemic

Archives Blogs

This allows for flexibility in adapting specific technologies to the needs of each IC agency for automation and processing unstructured data. The response to COVID-19 provides an opportunity to accelerate the specific adaptation of new technologies for the digital transformation of classification and declassification.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Now information technologies and the information revolution are again transforming society. The COVID-19 pandemic further accelerated the transformation from many years to just a couple of years. This 3-part series will discuss digital transformation (DT) from several perspectives. Information Governance (IG).

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What to Consider When Choosing a Data Modeling Tool

erwin

One key feature of erwin Data Modeler is the ability to generate code from a data model – this is a huge timesaver. Organizations are also adopting non-relational databases, such as Cassandra and MongoDB for the volumes of unstructured data that businesses generate. Finally, a data modeling tool needs to be easy to use.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.