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What is data governance? Best practices for managing data assets

CIO Business Intelligence

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.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

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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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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. Data Governance, Data Management

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

Big Data 209
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Data architecture strategy for data quality

IBM Big Data Hub

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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Five benefits of a data catalog

IBM Big Data Hub

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. This is especially helpful when handling massive amounts of big data. Protected and compliant data. Why IBM Watson Knowledge Catalog?