Big data Business Use Cases

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Business use cases highlight how big data can drive organizations towards tangible results. These use cases are practical points of reference that emphasize why (and how) investing in big data is worthwhile.

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Big data Business Use Cases

  1. 1. BIG DATA USE CASES
  2. 2. Enterprises use big data in different ways to ‘work’ for them. Use cases highlight how big data drives business goals to tangible results. Use cases are reference points and emphasize why big data is worth while.
  3. 3. I Real-time communication • Conversations with customers take precedence. • Carry out Real-time engagement and interactions. • Target promotions even as customers walk the aisles or browse items on website. • Unlock new capabilities like location-based services, next-best actions for sales and social media insights.
  4. 4. II Predictive maintenance • Valuable machine-data helps predict, plan, and monitor machine efficiency. • Data analytics insights help in diagnostics , avoid performance issues, and also prevent potential loss. • Big data makes prioritizing severity issues easy. • Data-intensive strategy aid in machine criticality analysis.
  5. 5. III Network optimization • Track and analyze usage patterns and trends. • Gather consumer data to optimize distribution. • Leverage information as a production factor and strengthen competitive position. • Develop market and environmental intelligence.
  6. 6. IV Insider threats • Big data magnifies the costs and risks of intelligence sharing; especially those associated with defection. • Identify reliable intelligence-sharing partners via data monitoring. • Machine-learning processes help track developments of concern. • Get time to react pro-actively to avert crisis.
  7. 7. V Asset tracking • Powerful analytics tools make unique asset identification at individual levels possible. • Big data facilitates optimized and intelligent utility of usage records and repair histories. • Data visualization helps derive insights on key patterns and opportunities. • Intelligent infrastructures improve service delivery, cut interruptions, and save costs by optimizing assets and processes.
  8. 8. VI Personalized care • Clinical data is able to expose disease complexity. • Big data analysis of medical outcomes, genetic profiles, and tissue morphology drives personalized medicine. • Healthcare data helps compare and contrast multiple data points from numerous sources making tailored individualized treatment possible. • Allows solid diagnosis and patient prognosis for best treatment decisions for individual cases.
  9. 9. VII Brand sentiment • Bridges gap between consumers’ need and want. • Target key influencers, generate new leads by real-time sentiment and insights from social media. • The Web is the world’s largest focus group and measuring sentiment via big data is a game-changer. • For brands, big data analytics converts unstructured data into actionable intelligence.

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