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Below are a few examples: Revenue management and optimization Big data analysis enables companies to make data-driven decisions about pricing based on historical transactional data. Data analytics offers a comprehensive view of what is or isn’t working, and these insights can inform new business goals and drive revenueoptimization.
Too often, organizations conflate dashboards with intelligence. These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. The new analytics mandate is descriptive, predictive and prescriptive in context.
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