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最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Creating Value From Data: A Monetization Framework
內容大綱
Every organization can-and should-generate more revenue from its data than it invests in producing and managing it. Yet the idea of turning data into money is often associated with sneaky tactics or 'going too far' with unacceptable privacy violations. As a result, some organizations, especially non-commercial ones, have very little appetite for the term 'data monetization.' The authors say it's time to embrace the concept. They present three approaches to monetizing data: Selling, which entails the exchange of data for money; Improving, which uses data to create efficiencies for cheaper or faster operations; and Wrapping, which uses data to enhance products such that customers want to buy more. In the end they show that, if you will limit what you view as data monetization opportunities, you leave money on the table. Often, a lot of money.