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The Big Analytics Book Project Is an Aggregation of Articles That Best Represent Thoughts by Some of the Leading Minds in the Data Analytics Industry

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The Big Analytics Book Project Is an Aggregation of Articles That Best Represent Thoughts by Some of the Leading Minds in the Data Analytics Industry The Big Analytics Leaders Collaborative Book Project For, Of, and By the Data Analytics Leaders and Influencers Compiled by Deeksha Joshi & Vishal Kumar Contents SECTION A: STRATEGY FOR THE DATA ANALYTICS LEADERS ................................................... 8 1. Rise of Data Capital by Paul Sonderegger ........................................................................................ 9 2. Investing in Big Data by Bill Pieroni .............................................................................................. 13 3. From Data to Insight: Seven Tips for a Great Data Strategy by Anne Russell ........................ 16 4. Data is Not Always a Substitute for Strategy by Steven Sinofsky ............................................. 20 5. Understand How Your Company Creates Value by Cary Burch ............................................... 26 6. Act Like an Analyst, Think Like a Strategist by Dr. Justin Barclay .......................................... 28 7. The Last Mile of Intuitive Decision Making by Vishal Kumar ................................................. 31 8. Three BIG Reasons Companies are Failing with Big Data Analytics by Ian St. Maurice ..... 36 9. How to Leverage Power of Big Data Analytics in Making Strategic Decisions by Ankush Chopra ........................................................................................................................................................... 40 10. How to Hire the Best Analytics Leaders: And it’s not the way you think! by Tony Branda 43 11. Big Decisions Will Supplant Big Data by David Kenny ......................................................... 48 12. Big Data: The 'Bridge' to Success by Paul Forrest .................................................................... 52 13. What You Need to Know About Big Data by Dorie Clark ...................................................... 60 14. Change Your Business One Metric at a Time by Bill Franks ................................................. 63 15. The Importance of Analytics and Data Science by James Barrese ........................................ 66 SECTION B: BEST PRACTICES AND HACKS AROUND DATA ANALYTICS ............................. 68 1. What is a Data Scientist? by Kurt Cagle ......................................................................................... 69 2. Sentiment Analysis Meets Active Collaboration by Julie Wittes Schlack ............................... 74 3. Framing Big Data Analytic Requirements by James Taylor ....................................................... 83 4. Combating the Coming Data Deluge: Creating real-time awareness in the age of the Internet of Things by Ryan Kirk .............................................................................................................. 86 5. Big Data, Small Models – The 4F Approach by Kajal Mukhopadhyay .................................... 94 6. The Five Letters that Will Change the Data World: BYOBI by Tomasz Tunguz ..................... 97 7. Big Data? No, SMART Data by Tara Hunt .................................................................................. 101 8. Beyond "Big Data": Introducing the EOI framework for analytics teams to drive business impact by Michael Li ................................................................................................................................ 105 1 9. Can You Seize the Opportunity from Analytics If You are Cheap? by Lora Cecere ............ 109 10. Why is the Successful Implementation of "Big Data" Applications a Question of Knowing How to Sell? by Jean-Marc Bellot ........................................................................................ 112 11. The Big Hole in Big Data by Colin Shaw ................................................................................. 117 13. Big Data: Two Words That are Going to Change Everything by Ali Rabaie .................... 121 14. What Social Media Analytics and Data Can't Tell You by Beth Kanter ............................. 125 15. Big Data, Great! Now What Do We Do With It? by Ken Kring ............................................ 130 16. Decoding Buzzwords: Big Data, Predictive Analytics, Business Intelligence by Cindy Gordon ........................................................................................................................................................ 137 17. The Case Against Quick Wins in Predictive Analytics Projects by Greta Roberts .......... 141 18. How Many of Us Think Big Data is Big BS? by Ali Syed ..................................................... 144 19. So You Can Predict the Future. Big deal. Now Change It by Alex Cosmas ....................... 148 20. Best Practices in Lead Management and Use of Analytics by Marianne Seiler ................ 151 21. Integrated Information Architecture for Real-time Analytics by Madan Gopal .............. 154 22. The Practice of Data Science: Investigating Data Scientists, Their Skills and Team Makeup by Bob E. Hayes ......................................................................................................................... 158 23. The Memefication of Insights by Tom De Ruyck ................................................................... 166 24. The Esoteric Side of Data Analytics by Kiran Garimella ...................................................... 170 SECTION C: FUTURE OF ANALYTICS .................................................................................................. 177 1. Full Stack Analytics –The Next Wave of Opportunity in Big Data by Chip Hazard ........... 178 2. Simplification is the Technology Trend for 2016 by Werner Vogels ....................................... 182 3. Future of Analytics by Dr. Anand S Rao ....................................................................................... 186 4. Computational Knowledge and the Future of Pure Mathematics by Stephen Wolfram ..... 194 5. Consumers are on the Verge of Understanding Big Data: Are You? by Douglas Rushkoff 220 6. The Frightening Perils and Amazing Benefits of Big Data by Vivek Wadhwa .................... 224 7. Let The Machines Decide by Toby Unwin ................................................................................... 228 8. Is Little Data the Next Big Data? by Jonah Berger ...................................................................... 230 9. Future of Data Analytics and Beyond... by Deeksha Joshi ........................................................ 234 10. Big Data Analytics, Where Are We Going? by John Ryan .................................................... 238 11. A Path Forward for Big Data by Jules Polonetsky .................................................................. 243 2 12. Democratization of Data Analytics: Why, Who, and What by Kirk Borne ........................ 247 SECTION D: CASE STUDIES & USE CASES ........................................................................................ 251 1. Artificial Intelligence Will Make Smart Lawyers Smarter (and dumb ones redundant) by Maximiliano Marzetti .............................................................................................................................. 252 2. Cyber security Solutions Based on Big Data by Steven King ................................................... 256 3. Personalization of Big Data Analytics: Personal Genome Sequencing by Peter B. Nichol 263 4. Internet of Things : Realizing Business Value through Platforms, Data Analytics & Visualization by Pranay Prakash .......................................................................................................... 272 5. The Private Eye of Open Data on a Random Walk: 8 different routes by Debleena Roy .... 279 6. Data Sheds New Light on the On-demand Economy by Alex Chriss ..................................... 285 7. Every Company is a Data Company by Christopher Lynch ...................................................... 289 8. Transforming Customer Relationships with Data by Rob Thomas ........................................ 291 9. The Power of Apps to Leverage Big Data and Analytics by Joseph Bradley ......................... 303 10. State of Telecom Business Around Managing Big Data and Analytics by Dr. Hossein Eslambolchi ................................................................................................................................................ 307 11. Solution to Key Traffic Problem Required a Fresh Look at Existing Data by Tony Belkin 311 12. Machines Won't Replace Insurance Agents in 2016, But They Will Do This by Steve Anderson ..................................................................................................................................................... 315 13. How a Digital Transformation Can Improve Customer Experience with Big Data by Ronald van Loon ....................................................................................................................................... 322 14. Doctor in The Smart Refrigerator by Arthur Olesch .............................................................. 325 15. Wearables at the Workplace by Abhijit Bhaduri .................................................................... 330 16. The SEAMLESS Customer EXPERIENCE by Justice Honaman ......................................... 336 17. Big Data Revolution in the Banking Industry by Marc Torrens .......................................... 341 18. Optimizing the Netflix Streaming Experience with Data Science by Nirmal Govind .... 347 19. Big Data and Innovation by Daniel
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