Data quality techniques, best practices and research

Data quality techniques and best practices News

February 03, 2021 03 Feb'21
Collibra acquires predictive data quality vendor OwlDQ

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 16 Oct'20
The new normal for enterprise data governance

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 24 Sep'20
Talend evolves enterprise data integration efforts

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 15 Sep'20
The evolving role of the chief data officer

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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Why your data story matters and how to tell it

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
Key steps in the feature engineering process

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
What is data governance and why does it matter?

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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The top 6 use cases for a data fabric architecture

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
Data protection officer responsibilities and role importance

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
How AI data privacy can help your enterprise

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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IoT data quality determines project profitability

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
Pandemic exposes difficulty of data management in education

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
Data lineage documentation imperative to data quality

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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Data governance and COVID-19 data security challenges

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
Common data lake challenges and how to overcome them

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
What data lake governance challenges do organizations face?

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