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What Is a Metadata Management Tool?

Octopai

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? What are examples of metadata management tools?

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Metadata Management Best Practices: How to Plan Your Metadata Management Program

Octopai

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

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BI Reporting Nightmare: Where Did This Error Originate?

Octopai

Data is processing, information is moving through various systems, and reports are generating valuable insights for the decision-makers down the line. Then a BI reporting nightmare crops up – a significant mistake has been discovered in a data field. Further, 50% reported that manual error detection could take months.

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What is Metadata Management?

Octopai

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? What is metadata management?

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3 Reasons You Should Be Managing Metadata on the Cloud – Especially During a Pandemic

Octopai

As you may have experienced, one of the many impacts of the COVID-19 pandemic is that on-premises metadata management may no longer be a feasible way to connect BI teams. Further, although key stakeholders may be physically away from the workplace, they still need to access metadata information to produce reports.

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How A Data Catalog Enhances Data Risk Management

Alation

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. Download the complete white paper now. Or, read on for a brief summary.

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Benefits of Metadata Management Automation in the Insurance Industry

Octopai

Insurance Metadata Management. In particular, stakeholders in the insurance industry need to carefully design and validate their reports. Even small reporting errors by an insurance BI team can cause insurers to make poor (read: costly) decisions about whom to insure, what premiums to charge, and whether and how much to pay on claims.