datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 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. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Alation

MARCH 11, 2022

This begins with a fundamental shift around how people see data as well as their own relationship to it. First thing: Data is a powerful asset. Consider it now, too, as a product, which, if used correctly and by the right people, can provide real ROI. These are your new data producers. So where do people factor in?

Metadata 52

Metadata Data Governance ROI Data Quality 52

Cloudera

NOVEMBER 12, 2020

Over-sizing” helps during times of peak demand but justifying the ROI for such over-provisioning is next to impossible. Cloud deployments add tremendous overhead because you must reimplement security measures and then manage, audit, and control them. How Burst to Cloud can solve your data center pressure.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71