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Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects.

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Data Governance and Its Benefits

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. However, such success is increasingly unattainable without a robust data management program. However, such success is increasingly unattainable without a robust data management program. As today’s average industry captures vast volumes […].

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Data Governance, Then and Now

David Menninger's Analyst Perspectives

We’ve recently published our latest Benchmark Research on Data Governance and it’s fair to say, “you’ve come a long way, baby.” We’ve learned a lot about cigarettes since then, and we’ve learned a lot about data governance, too.

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Data Governance as an Emergency Service

erwin

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated.

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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

Despite decades of investment in data management solutions, many continue to struggle with data quality issues, either through their failure to modernise legacy investments or through the outcomes of acquisitions and business decisions, which in either instance have led to data existing in multiple silos across their organisations.

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HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

Initially, the data inventories of different services were siloed within isolated environments, making data discovery and sharing across services manual and time-consuming for all teams involved. Implementing robust data governance is challenging. The following diagram illustrates the architecture of both accounts.

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The state of data quality in 2020

O'Reilly on Data

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. Adopting AI can help data quality.