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Data quality techniques and best practices News
February 03, 2021
With OwlDQ, Collibra is bringing data quality capabilities to its data intelligence platform to help users better understand and evaluate the impact of different sources of data.
October 16, 2020
Mastercard data exec highlights the foundational role of enterprise data governance during the pandemic era with more people working from home and new demands on businesses.
September 24, 2020
The CTO of Talend outlines the path the data integration vendor has taken in recent years as the market for big data has evolved along with the need to treat data as an asset.
September 15, 2020
The job of the chief data officer is expanding to be more strategic as the need for organizations to connect and make sense of vast sums of data continues to grow.
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Data storytelling isn't just for business analysts. Find out how to build a data management story and why you need to have one in the first place. Continue Reading
Feature engineering is key to machine learning algorithms. Read on to learn how those features are created and chosen to increase the accuracy of those models. Continue Reading
Data governance (DG) is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Continue Reading
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Enterprise data fabric adoption has been on the rise as a way to ensure access and data sharing in a distributed environment. Here are the top use cases for data fabrics. Continue Reading
The data protection officer title has been growing over the last few years, and organizations are still working to grasp the full responsibilities of the role. Continue Reading
Enterprises benefit in many ways from AI data privacy tools that reduce the need for manual efforts from data professionals. Read on for top use cases for the growing technology. Continue Reading
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The insights drawn from IoT data analysis can only improve with better IoT data quality, which data scientists measure with metrics such as accuracy, timeliness and completeness. Continue Reading
Limited resources and a shift to remote learning have shown the inequalities across school districts when it comes to data management and the negative impact this can have. Continue Reading
Understanding the detailed journey of data elements throughout the data pipeline can help an enterprise maintain data quality and improve trustworthiness. Continue Reading
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Maintaining data governance and data security best practices is essential now more than ever. But the increase in working from home can put a strain on those practices. Continue Reading
Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading