1. Big Data Lever Mrs. Agnes Mak Executive Director Hong Kong Productivity Council

2. Discussion Topics 2

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4. 4 4 1.1 The History Of Big Data In The Past 70 Years Source: HCL, Daniel Tuitt, A History of Big Data, 2013

5. 5 5 1.1 The History Of Big Data In The Past 70 Years Source: HCL, Daniel Tuitt, A History of Big Data, 2013

6. 6 The Economist published a report titled, Data, Data Everywhere. Kenneth Cukier writes: “…the world contains an unimaginably vast amount of digital information which is getting ever vaster more rapidly… The effect is being felt everywhere, from business to science, from governments to the arts." 1.2 February 2010 - Data, Data Everywhere

7. 7 1.3 What Happens On The Internet Every 60 Seconds? Source: Qmee.com, What Happens on the internet every 60 seonds,2013.

8. 8 What Happened? Why Did It Happen? What Should I Do About It What Is Likely To Happen? Public Opened Data StructuredData DocumentContent Analytic Linkages 1.4 Business Analytics With Big Data

9. 9 1.5 2012 The 3Vs --> 4Vs “Big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization” ( Gartner / Doug Laney 2012 ). Some other organizations added veracity to define it.

10. 10 Defined big data as “a cultural, technological, and scholarly phenomenon that rests on the interplay of: 1.6 March 2012 – Critical Questions For Big Data

11. 11 Discussion Topics

12. 12 Source: Gartner, Lisa Kurt, Big Data Industry Insight, 2014. 2. What Business Problems are Industries Addressing with Big Data?

13. 13 Discussion Topics

14. 14 3.1 Source Of Customer Big Data?

15. 15 FunctionBig Data Lever Marketing  Sentiment Analysis  Marketing Campaign Cross Selling Location Based Marketing In-store Behavior Analysis Customer Micro-segmentation Multi-channel consumer experience MerchandisingAssortment Optimization Pricing Optimization Placement and Design Optimization 3.2 Leveraging Customer Big Data

16. 16 “3E” “3E” Social Media Analytics Model: Exposure from Exposure Enthusiasm to Enthusiasm Experience to Experience 3.3 Sentiment Analysis

17. 17 200+ CN/HK Social Media Non-structure / Structured Data BI System 3.4 Social Media Marketing Campaign

18. 18 Opportunities to Company: Effective online analysis of Marketing Campaign Effectiveness Detailed Analysis of positive / neutral / negative web posts of industry players (own brand vs. competitive brands for a given period) Results: In-depth understanding of response of marketing efforts of a very large pool of consumers Identified new marketing directions Facilitated follow-up actions by respective parties and departments (e.g. MKT Dept.) 3.4 Social Media Marketing Campaign

19. 19 Discussion Topics

20. 20 FunctionBig Data Lever Supply Chain  Distribution and Logistics Optimization  Inventory Management Supplier Negotiations OperationsPerformance Transparency Labor Inputs Optimization New Business Models Price Comparison Services Web-based markets 4.1 Leveraging Transaction Big Data

21. 21 4.2 Demand/Supply Chain Predictive Planning

22. 22 4.2 Demand/Supply Chain Predictive Planning Opportunities to FMCG Retailer : Location of distribution center and warehouse capacity planning Long history of sales and logistics operation data Determining optimal inventory levels and replenishment policies for all DC Results: In-depth understanding of dynamic mix of potential consumer needs and growth Reduced Day Sales On Hand (DSOH) by 13.21days, equivalent to approx. RMB109.69M

23. 23 Big Data Revolution – Call For Actions What data can be opened Business goals and outcome. End users need to prove the value. What big data analysis and outcome will enhance the quality of life of the community

24. 24 Conduct Hong Kong Industry Network Clusters Gauge the views of industry on big data development Ms. Betty Fung Tel : (852) 2788 6202 E-mail : hkpcenq@hkpc.org Mr. Kevin Ng Tel : (852) 2788 5843 E-mail : kevin@hkpc.org