The Big Data Opportunity: Commercializing Big Data

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1 The Big Data Opportunity: Commercializing Big Data Fayaz Taher, Co-Founder Startup Dhaka and Director, LightCastle Partners Pg 1

2 What can we do with BIG DATA? Pg 2

3 Contents Big Data? Why Now? The BIG Value The Market Challenges The Digital Data Ecosystem Case in Point 1: Fotuna Retail Stores Case in Point 2: Public Sector (DWASA) Way Forward Pg 3

4 Big Data The Value in Structured Information Variety I Volume I Velocity Vast amount of data available in every economy, sector and organizations (like never before) 90% of the data in the world today has been created in the last two years "Big Data" is growing exponentially Drivers: It is thousands of football stadiums filled with numbers in which patterns and hidden meanings can be extracted to make better and faster decisions Technology has enabled information to be captured, stored and processed faster to understand human behavior and patterns Pg 4

5 Why Now? Business Opportunity to enable innovative new business models Potential for new insights that drive competitive advantage Technical Data collected and stored continues to grow exponentially Data is increasingly everywhere and in many formats Traditional solutions are failing under new requirements Expertise available to Make Business Sense of Data Financial Cost of data systems, as a percentage of IT spend, continues to grow Cost advantages of commodity hardware & open source software Capture Instruments costs are at all time low (Smartphones, Data Sensors, Tablets) Pg 5

6 The BIG Value Generate Insights and Solve Specific Problems Improved Core Operating Processes Faster and Better Decisions Data Centric Revenue Channels and Competitive Advantages Pg 6

7 The USD 300 bn Market Selling Aggregated Data Based Insights about Consumer Behavior Grocery retailers like Tesco analyzes customer transactions and sell insights about shopping behavior to manufacturers like Unsilver, Nestle or Heinz Market Data Capture and Sell (One Time plus Repeat Sells) Implications in Integrated Marketing Communication (Target Promotions and Product Offerings) Big Data Enabled ITES (Capture, Store and Structuring) Data Science (Analysis, Visualizations and Reporting) Pg 7

8 Challenges? Data Privacy Trust Transparency Insider Information Management Adaptation Pg 8

9 The Digital Data Ecosystem Smart Data Aggregator/Analyst/Custodian Energy Company Car Manufacturer Healthcare Company Insurance Company Smart Consumer Electronic Manufacturer Telecommunications Provider Source: BCG Analysis Platform Owners Pg 9

10 Fortuna Retail Data 4 years of Solid Sales Volume Data Predictive Behavior analysis Faster & Better informed Decisions on Pricing, Inventory, Color trends New Product Development and Pricing using insights from Data Faster Targeted promotion on unsold inventory Data is synchronized on Real Time basis daily Pg 10

11 Case: DHAKA WASA to implement a new model 80% Sewage Connection in Dhaka City not linked Flows to the River/Clogged dump sites Analyze last ten years data (Topline Findings) Identification of High Risk Areas (with most likely Point of Failures of Sewage Network) Would be difficult for DWASA to allocate and scale in-house resources Solution would be to engage Private Sector Sanitation Entrepreneurs (via a Lease Model) Where they provide households with Sludge Cleaning Services Results Impact Investment (WB), Pilot in 2014 If successful scale up by 2015 Sludge Management as a Professional Private Service Pg 11

12 Conclusion Develop a strategy for BIG Data and not be tactical Develop team and skillset of data scientists through training and capacity building Develop Transparent Sharing Policy to derive insights through partnerships Don t ask the question what to do with BIG Data but ask yourself why aren t you doing something with it? Pg 12

13 Meet. The Wave, 19th Floor, FR Tower 32 Kemal Ataturk Avenue, Banani C/A Dhaka 1213, Bangladesh Call Mail Pg 13

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