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How to Ensure Data Quality and Consistency in Master Data Management

Dataversity

This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data.

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Master Data Management Tools

Dataversity

Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business.

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Why Master Data Management (MDM) and AI Go Hand in Hand

Dataversity

This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.

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Why Graph Databases Are an Essential Choice for Master Data Management

Dataversity

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. The post Why Graph Databases Are an Essential Choice for Master Data Management appeared first on DATAVERSITY.

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Three Critical Success Factors for Master Data Management

Dataversity

As the Master Data Management (MDM) solutions market continues to mature, it’s become increasingly clear that the program management aspects of the discipline are at least as important, if not more so, than the technology solution being implemented. Click to learn more about author Bill O’Kane.

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The 12 Days of Data Management

Dataversity

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post The 12 Days of Data Management appeared first on DATAVERSITY.

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The Impact of Data Quality on M&A Success

Astera

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.