who-is-responsible-for-data-quality-within-an-enterprise 
Dataiku
MARCH 31, 2022
Poor data quality is troublesome for a myriad of reasons, from analyst productivity lost, to bad reporting and decision making, to potential negative impacts on revenue.
CIO
MAY 7, 2024
Chief data officers have a lot to think about these days. Chief among them, they must ensure responsible, compliant use of their organizations’ data in the face of increasingly complex regulatory environments across the globe. At the end of the day, it’s all the company’s data or the consumer’s data,” he adds. “At
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CIO
MAY 9, 2024
But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years. They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization.
CIO
APRIL 24, 2024
Microsoft is opening another route for extending the reach of its Copilot offerings in the enterprise through an expanded partnership with global professional services company Cognizant. Therefore, while AI can reduce manual labor, its impact on costs should be viewed within the broader context of the added value it brings.”
CIO
APRIL 25, 2024
With more than 1 billion users globally, LinkedIn is continuously bumping against the limits of what is technically feasible in the enterprise today. Few companies operate at the scale that LinkedIn does or have access to similar troves of data. We wanted [responses] to be factual but also empathetic. Or at least overly blunt.
CIO
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
CIO
JANUARY 24, 2024
Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.
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