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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

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Why Data Governance is Critical for the Retail Industry

Alation

The answer to all of these questions and more is data governance. Why Is Data Management Important for the Retail Industry? OK, if you read the words “data governance” and started to doze off, bear with me. Data governance, when approached proactively, is just data management from a different perspective.

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Data Governance Stock Check: Using Data Governance to Take Stock of Your Data Assets

erwin

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

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Finding Data Quality

Jim Harris

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. You, Data-Dude, takin’ on the defects.

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How to build a successful AI strategy

IBM Big Data Hub

What metrics need to be improved? Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution.

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Consider the Benefits of Augmented Analytics

Smarten

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Whether you are an IT consultant, an in-house IT professional, a middle manager or a senior executive, it is important to monitor the progress of business analytics and the related technology.

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Data Maturity Models | Measure The Health Of Your Data

Anmut

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Hence, low data maturity is not only expensive but unsustainable–especially when your competitors are investing in improving their data quality. ? Data lineage is understood, but only partially mapped.