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Big Data World Forum
The document discusses big data technologies designed to economically extract value from large volumes of diverse data, emphasizing the four V's: volume, variety, velocity, and value. It highlights the complexity of big data and its various users, including service providers and consumers, providing examples of use cases that illustrate its strategic value. Additionally, it notes that big data approaches are applicable to a wide range of users, presenting unique opportunities and challenges.
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Big Data World Forum
- 1. Copyright IDC. Reproductionis forbidden unless authorized. All rights reserved.
- 2. Copyright IDC. Reproductionis forbidden unless authorized. All rights reserved. Big Data Finding Answers Where There Are Yet To Be Questions? Big Data Big Data Finding Answers Where There Are Yet To Be Questions? Benjamin S. Woo – 胡世斌
- 3. Apr-12 © IDC What isBig Data? What is Big Data? Big Data technologies describe a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high velocity capture, discovery and/or analysis 3
- 4. Apr-12 © IDC Big Data’sFour V’s Big Data’s Four V’s 4 Volume Volume Variety Variety Velocity Velocity Value Value
- 5. Apr-12 © IDC Big Datais multi-dimensional Big Data is multi-dimensional 5 Interface Interface Analytics Analytics & Discovery & Discovery Data Organization Data Organization & Management & Management Infrastructure Infrastructure Advisor Advisor Regulator Regulator Provider Provider Consumer Consumer Collect Collect Process Process Inform Inform Act Act Consumer Consumer Advisor Advisor Regulator Regulator Provider Provider Interface Interface Analytics Analytics & Discovery & Discovery Data Organization Data Organization & Management & Management Infrastructure Infrastructure Collect Collect Process Process Inform Inform Act Act Big Data is complex! Big Data is complex!
- 6. Apr-12 © IDC The BigData Platform The Big Data Platform 6
- 7. Apr-12 © IDC Big DataUsers Big Data Users Service Providers Advisors Regulators/Custodians Consumers
- 8. Apr-12 © IDC Big DataServices Big Data Services 8 8 Cleanse Cleanse Filter Filter
- 9. Apr-12 © IDC Act! –Improving organizational value Act! – Improving organizational value 9
- 10. Apr-12 © IDC Common Questions:What’s New with Big Data? Common Questions: What’s New with Big Data? How does Big Data compare to traditional data warehousing? • Strategic value creation (future looking) • (Near real time) on data collection or ability to act How does Big Data compare to traditional high performance computing? • Very similar in infrastructure • Price:performance ratio 10
- 11. Apr-12 © IDC Big Data:Finding Answers Where There Are Yet To Be Questions Big Data: Finding Answers Where There Are Yet To Be Questions 11
- 12. Apr-12 © IDC Use Cases- 1 Use Cases - 1 •$13.04 billion in sales in fiscal 2010 •9,500+ stores in 35 states •10,000-12,000 SKUs/store •85,900 employees •Uses cloud based service provider •Sells POS data back to suppliers • Subscribers can compare performance based on many different types of criteria • Geography (eg same store) • Associated purchases • Etc. •New source of revenue • (Arguably, highest margin revenue source) 12
- 13. Apr-12 © IDC Use Cases- 2 Use Cases - 2 •Major US wireless operator •Client attrition too high •Related to customer service •Deployed telco specific Big Data solution •Solution was able to build a “behavioral-DNA” of customer interactions with the provider •Able to visually understand and drive ideal customer experience •Saved US$MM in lost customers 13
- 14. Apr-12 © IDC Essential Guidance EssentialGuidance Four V’s of Big Data – Volume, Variety, Velocity and Value Combination of these attributes creates new strategic opportunities to create organizational value Biggest challenge for community is that Big Data use cases are typically unique and therefore is not easy to define and addressing the problems are often found in more proprietary approaches Big Data approaches and technologies apply to all users from the largest enterprise, to government and research, and to individuals 14
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