What everybody should know about data monetization
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Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.
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Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.
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Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.
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Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting.
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Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
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No. 1: Taking responsibility for analytics and artificial intelligence.
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Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.
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From MIT Sloan, how to apply the tools of modern data science, optimization, and machine learning to solve real-world business problems.
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Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.
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Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
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A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.