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Data Governance to Improve Business Intelligence

The Data Administration Newsletter

Whether it’s financial data, personal health information, or customer data, organizations that generate and manage data must implement a comprehensive data governance strategy. A robust data governance policy ensures compliance and security and improves the quality of Business […]

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Focus Areas for Data Governance: Data Warehouses and Business Intelligence (BI)

The Data Governance Institute

The scope may be initially limited to rules, roles, and responsibilities for the new system, but sometimes this type of program serves as a prototype for an enterprise Data Governance / Stewardship program.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

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How Data Governance is Central to Effective Data Analytics

The Data Administration Newsletter

However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Not only that, but we can put our business at serious risk of non-compliance. Ultimately, data governance is central to […]

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Data Governance, Data Leadership or Data Architecture: What Matters Most?

Dataversity

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. The post Data Governance, Data Leadership or Data Architecture: What Matters Most?

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5 Ways Data Engineers Can Support Data Governance

Alation

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. Low quality In many scenarios, there is no one responsible for data administration.

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Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance

Dataversity

The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. This is a worthy goal but is a little more complex than just putting dashboards […].