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Qlik Advances Self-Service Analytics and Business Intelligence

David Menninger's Analyst Perspectives

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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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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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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A Practical Guide to Business Intelligence Governance

Speaker: Marius Moscovici, CEO Metric Insights & Mike Smitheman, VP Metric Insights

While the proper governance of data is clearly critical to the success of any business intelligence organization, focusing on data governance alone is a huge mistake. Organizations continually fail to generate ROI on their governance initiatives because they are too narrow in scope.

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5 Ways Data Modeling Is Critical to Data Governance

erwin

While it’s always been the best way to understand complex data sources and automate design standards and integrity rules, the role of data modeling continues to expand as the fulcrum of collaboration between data generators, stewards and consumers. So here’s why data modeling is so critical to data governance.

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Doing Cloud Migration and Data Governance Right the First Time

erwin

That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value. Why You Need Cloud Data Governance. Regulatory compliance is also a major driver of data governance (e.g., GDPR, CCPA, HIPAA, SOX, PIC DSS).