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TDWI Best Practices Report: Evolving from Traditional Business Intelligence to Modern Business Analytics

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How to support requirements for self-service, faster data access, trusted data, and better governance

Demand is rising for business analytics—for data interactions that go beyond simple reports and dashboards to deliver sharper insights. Decision makers in all industries need good business analytics tools and an agile data stack to respond to unexpected changes.

Expert data scientists and data analysts will always play a key role in complex and cutting-edge projects, but today, citizen data scientists and data professionals are excited to have self-service tools and cloud services at their disposal. This report focuses on the evolution from traditional BI and data management to more modern business analytics based on an updated data stack increasingly based on cloud platforms.

This TDWI Best Practices Report offers recommendations for ensuring that the evolution toward modern business analytics is successful.

How to support requirements for self-service, faster data access, trusted data, and better governance

Demand is rising for business analytics—for data interactions that go beyond simple reports and dashboards to deliver sharper insights. Decision makers in all industries need good business analytics tools and an agile data stack to respond to unexpected changes.

Expert data scientists and data analysts will always play a key role in complex and cutting-edge projects, but today, citizen data scientists and data professionals are excited to have self-service tools and cloud services at their disposal. This report focuses on the evolution from traditional BI and data management to more modern business analytics based on an updated data stack increasingly based on cloud platforms.

This TDWI Best Practices Report offers recommendations for ensuring that the evolution toward modern business analytics is successful.

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