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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

ElegantJ BI

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

ElegantJ BI

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

ElegantJ BI

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Data Governance and Self-Serve Analytics Go Hand in Hand.

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Top Data Analytics Terms You Should Know

The BAWorld

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.