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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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Exploring the Connection Between Data Governance and Data Quality

Astera

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.

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IoT Data Governance: Taming the Deluge in Connected Environments

Dataversity

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […] The post IoT Data Governance: Taming the Deluge in Connected Environments appeared first on DATAVERSITY.

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Data Projects Should Start with Data Governance

Dataversity

The hallmark of any successful Data Governance implementation is awareness. The post Data Projects Should Start with Data Governance appeared first on DATAVERSITY.

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Building a Grassroots Data Management and Data Governance Program

Dataversity

Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The enterprise […].

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Astera’s Guide to Insurance Data Quality and Governance

Astera

Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations. The Dual Imperative: Upholding Data Quality and Governance Data quality and governance are essential data management components, particularly in the insurance industry.

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6 Steps to Implement Data Governance

Astera

57% of organizations with data governance programs notice better quality in their data analytics, and 60% see improvements in the actual data they use. Given these significant benefits, many businesses have implemented data governance practices to gather, store, and process data. Wrapping Up!