Way to Big Data 巨量資料趨勢              1
Big Data Creates New Opportunities 巨量資料價值                  2
Big Data Creates New Opportunities 巨量資料價值                  3
Big Data Innovation for Product Design 巨量資料創新 I                   4
Nike’s Big Data Innovation量資料創新 I       roduct Sales Life Cycle                onitored by  ales Report                 Pr...
Nike+  6
案例 :Mobile App: Nike+          7
Fuel Band 個人使用,創新產品              8
Turn Big Data to Big Value 資料收集,價值轉換               9
Big Data Innovation for SCM 巨量資料創新 II                10
Big Data Innovation for SCM 巨量資料創新 II                11
案例 : 零售業 POS Analysis II           12
Big Data Innovation for Enterprise 案例:農夫山泉目前遇到的挑戰 III – 隨著業務的快速發展,大資料量的資料包表分析速度越來越慢,在某些場景下甚   至無法運行出結果。典型場景如短信銷售定單分析,無法對目...
Business Analytics is a key growth              engine for IT Services IOT, social media, and smart devices are high pote...
Where are the opportunities        IOT + Cloud + Business & Social Analytics Data is CostBig Data is Big Cost Informati...
Winners and LosersThe Ability to Know How to Respond                in Time               16
Big Data Innovation for Utility巨量資料創新 IV                 17
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Way to big date 資策會李進寶所長 20120620

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Transcript of "Way to big date 資策會李進寶所長 20120620"

  1. 1. Way to Big Data 巨量資料趨勢 1
  2. 2. Big Data Creates New Opportunities 巨量資料價值 2
  3. 3. Big Data Creates New Opportunities 巨量資料價值 3
  4. 4. Big Data Innovation for Product Design 巨量資料創新 I 4
  5. 5. Nike’s Big Data Innovation量資料創新 I roduct Sales Life Cycle onitored by ales Report Probability Analysis rigger 5
  6. 6. Nike+ 6
  7. 7. 案例 :Mobile App: Nike+ 7
  8. 8. Fuel Band 個人使用,創新產品 8
  9. 9. Turn Big Data to Big Value 資料收集,價值轉換 9
  10. 10. Big Data Innovation for SCM 巨量資料創新 II 10
  11. 11. Big Data Innovation for SCM 巨量資料創新 II 11
  12. 12. 案例 : 零售業 POS Analysis II 12
  13. 13. Big Data Innovation for Enterprise 案例:農夫山泉目前遇到的挑戰 III – 隨著業務的快速發展,大資料量的資料包表分析速度越來越慢,在某些場景下甚 至無法運行出結果。典型場景如短信銷售定單分析,無法對目前系統中 9 千 5 百萬條記錄的全部進行及時的分析。 百萬條記錄 – 目前系統架構中 Oracle Data Mart 已經不能滿足大資料量、即時分析的需求,迫 切需要一個更加先進、高效的架構平臺支撐未來更大規模資料的處理與分析。 – 目前在 Oracle Data Mart 上的運算模型效率較低,運算速度不能夠滿足實際業務 需求,或需要投入較資深的 DBA 進行優化,且從長期角度總體運維和投入成本 高。 13
  14. 14. Business Analytics is a key growth engine for IT Services IOT, social media, and smart devices are high potential opportunities which requires advances in Information Management and Busimess AnalyticsExample: IBM’s Growth Initiatives: 14
  15. 15. Where are the opportunities IOT + Cloud + Business & Social Analytics Data is CostBig Data is Big Cost Information is required for making decisionsKnowledge with context is better Analytics is the means for getting knowledge in context Smart Applications of Analytics = $$$ 15
  16. 16. Winners and LosersThe Ability to Know How to Respond in Time 16
  17. 17. Big Data Innovation for Utility巨量資料創新 IV 17

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