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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. Table of Contents.

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The Second Pillar of Data Culture: Data Literacy

Alation

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. This post, the third in a four-part series on data culture, focuses on data literacy.

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The First Pillar of Data Culture: Data Search & Discovery

Alation

According to a recent survey by Alation , 78% of enterprises have a strategic initiative to become more data-driven in their decision making. According to Gartner, data culture is a top priority for chief data officers (CDOs) and chief data & analytics officers (CDAOs). What is Data Search & Discovery?

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Data Observability and Monitoring with DataOps

DataKitchen

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

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The Third Pillar of Data Culture: Data Governance

Alation

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

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The Data Culture Journey: Customer Best Practices in Search & Discovery and Data Literacy

Alation

Data-driven decision-making is good for business. Companies that successfully use data for decision-making speed time-to-market, better meet customer needs, and accelerate time-to-value through greater speed and agility. 1 Data culture is a critical component of a data-driven enterprise. And only 24.4% And only 24.4%