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Benefits of Enterprise Modeling and Data Intelligence Solutions

erwin

This matters because, as he said, “By placing the data and the metadata into a model, which is what the tool does, you gain the abilities for linkages between different objects in the model, linkages that you cannot get on paper or with Visio or PowerPoint.” a senior manager, data governance at an insurance company with over 500 employees.

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Everteam.iFile | Connect, Extract, Process, Manage and Analyze all your Stored Information

Everteam

Everteam.iFile provides access to content from multiple data repositories as well as a simple and rich functionality combining Intelligent Document Management, Intelligent Workflow Automation, Intelligent Metadata Management and Extraction, Intelligent Processing and Classification of business critical-documents through discovery and auto-tagging.

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Keeping Up with New Data Protection Regulations

erwin

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

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5 Recommendations for a Hybrid Cloud and On-Prem Approach

AIIM

One specific example is the case of a large insurance company. Build an organizational strategy for dealing with metadata – One way to enable broader transformation is through the thoughtful use of metadata management, establishing a strategy that transcends where the information is located.

Cloud 104
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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. For example, the NoSQL database MongoDB has documents and collections instead of tables and columns. Figure 3: Example sentence diagram. So those database terms are worthless until you know what you’re trying to do.

Cloud 98
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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

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The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival. Routine questions from staff can be quickly answered using AI.