Data governance

Data governance processes manage the availability, usability, integrity and security of the data in enterprise systems. These processes rely on detailed internal data standards and policies that also control data usage. Learn about the latest data governance processes and strategies to ensure data is consistent, trustworthy and properly protected.

July 28, 2022 28 Jul'22
Truist chief data officer on data management challenges

The CDO of bank holding company Truist outlines what she sees as an optimal data management culture as the demand for data skills continues to grow.
July 19, 2022 19 Jul'22
Confluent update eases multi-cloud event data streaming

The event data streaming vendor's new update introduces features to make it easier to integrate into a multi-cloud data stack deployment with the debut of a Terraform provider.
July 18, 2022 18 Jul'22
Tibco adds SaaS version of MDM platform, updates TCI

The analytics vendor unveiled Cloud EBX as it continues to add cloud-native versions of its tools. In addition, it launched an updated version of its cloud integration suite.
July 06, 2022 06 Jul'22
TigerGraph Cloud update enables easier adoption, deployment

With enterprise customers adding more users as graph technology gains popularity, the vendor added features to make wide use of its SaaS platform easier and more secure.

Bring yourself up to speed with our introductory content

data governance policy

A data governance policy is a documented set of guidelines for ensuring that an organization's data and information assets are managed consistently and used properly. Continue Reading
Key roles and responsibilities of the modern chief data officer

Chief data officer roles and responsibilities are expanding beyond data strategy, as they are increasingly tasked with cultivating a data-driven culture. Continue Reading
What is data lineage? Techniques, best practices and tools

Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and how data lineage tools can help. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

5 data security challenges enterprises face today

Data empowers enterprises to succeed. But with great power comes great responsibility -- to keep that data secure. Here are five challenges today's businesses must meet. Continue Reading
15 top data governance tools to know about in 2022

Data governance software can help organizations manage governance programs. Here's a look at the key features and capabilities of 15 prominent governance tools. Continue Reading
ESG analysts discuss how to manage compliance, data privacy

ESG analysts offer three recommendations for effective data governance: good C-level and IT leadership, visibility into cloud infrastructure and understanding cloud architecture. Continue Reading

Learn to apply best practices and optimize your operations.

How CDOs manage cloud adoption and hybrid cloud compliance

Cloud advancements are changing how chief data officers approach cloud data management as they juggle security, privacy and other hybrid cloud compliance issues. Continue Reading
Managing databases in a hybrid cloud: 8 key considerations

To manage and monitor hybrid cloud database environments, consider business and application goals plus costs, latency, security, stability, simplicity, tools and technical skills. Continue Reading
6 CDO challenges that hinder data-driven initiatives

Chief data officers often run into difficulties getting projects off the ground. Here are six challenges hindering modern CDOs' data-driven projects and strategies. Continue Reading

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Data lake governance: Benefits, challenges and getting started

A data lake that isn't well governed may become more of a swamp. Here are key benefits and challenges of data governance in a data lake, plus initial steps to take. Continue Reading
8 proactive steps to improve data quality

Here are eight steps to take to improve your organization's data quality in a proactive way, before data errors and other issues cause business problems. Continue Reading
Data quality for big data: Why it's a must and how to improve it

As data volumes increase exponentially, methods to improve and ensure big data quality are critical in making accurate, effective and trusted business decisions. Continue Reading