Remove Data Analytics Remove Data Governance Remove Data Transformation Remove Risk
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8 data strategy mistakes to avoid

CIO Business Intelligence

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. They also need to establish clear privacy, regulatory compliance, and data governance policies.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The human political element plays a significant role here as well, as local data owners push back on relinquishing control over domain-specific data assets to centralized data governance authorities. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

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Enable data analytics with Talend and Amazon Redshift Serverless

AWS Big Data

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

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How to Build a Successful Metadata Management Framework

Alation

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

By using decades of database expertise in performance by IBM and combining it with AWS’s scalability, security and governance features, customers can achieve enhanced flexibility, agility and cost efficiency in the cloud. This integration simplifies data management and accelerates the preparation process, directly benefiting clients.

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What companies get wrong about data transformation

CIO Business Intelligence

For years, IT and data leaders have been striving to help their companies become more data driven. But technology investment alone is not enough to make your organization data driven. I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”.

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Why The Public Sector Needs Data Governance

Alation

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.