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Keynote presentation s, m. l. xl. all sizes of data matter when you want to reinvent your business

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Keynote presentation s, m. l. xl. all sizes of data matter when you want to reinvent your business

This is a keynote delivered to C Suite audiences, Chief Digital officers and senior marketers across corporations to show how in the relentless pursuit of data lies the most innovative solutions to long standing problems in business and society at large

This is a keynote delivered to C Suite audiences, Chief Digital officers and senior marketers across corporations to show how in the relentless pursuit of data lies the most innovative solutions to long standing problems in business and society at large

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Keynote presentation s, m. l. xl. all sizes of data matter when you want to reinvent your business

  1. 1. 1 VIDEO
  2. 2. Intel Confidential – NDA use only. S . M . L . Xl . All sizes of data matter jayant murty – Director marketing, A PACIFIC JAPAN
  3. 3. Jayant has over 20 years of experience in building great brands and businesses across the world. He has held various positions in brand and agency management and prior to Intel, Jayant was Senior Vice President and head of the Bombay office (JWT/WPP network), a full service creative and media agency. During his career Jayant has worked across a wide range of categories from airlines, automobiles and consumer electronics to banking, retail and fashion. He has a reputation for challenging the status quo and is passionate about AI, robotics, design thinking and maker movements. He helped put Intel in the Top 10 Socially admired and loved brands in the world. He is a regular speaker on innovation & creativity at Ad Tech, Festival of Media, Marketing Matters, WPP Stream, NYT and Economist conferences, CDX Forum, Media 360 Asia, Campaign Magazine’s conferences to name a few. In 2012 he was nominated to the Digital 25 by the Producers Guild of America and in 2016 to the A-List that honors the most powerful people in the media business in Asia. He serves on several juries for digital and media awards and the work he has been associated with over the years have won many awards including several Cannes Gold, One Show, Grand Clio, D&AD, Spikes, FWA , Effie's to name a few
  4. 4. Placeholder Footer Copy / BU Logo or Name Goes Here Why now?
  5. 5. Intel Core i5 The attack of the exponentials. We are drowning in data Just 25 self-driving cars would create as much data in one year as the entire written works of mankind
  6. 6. Placeholder Footer Copy / BU Logo or Name Goes Here Exactly a year ago ..
  7. 7. The kentucky derby- May 8th 2016
  8. 8. Artificial Intelligence Turns $20 into $11,000 VIDEO
  9. 9. It is not algorithms. It is deep learning VIDEO
  10. 10. Job replacement is not fiction. It is real By 2025, up to a quarter, of jobs will be replaced by either smart software or robots BOSTON CONSULTING GROUP
  11. 11. 11 This factory, aims to reduce the current workforce of 1,800 by 90%, according to Chen Zingui, chairman of the board. IN THE PLACES YOU DONT EXPECT. FOR THE REASONS YOU LEAST EXPECT
  12. 12. 12 The future is here it is just not evenly distributed AND NO INDUSTRY IS BEYOND IT
  13. 13. VIDEO
  14. 14. 14 50% 90% ACCURACY – big data beats the best doctors
  15. 15. I’m either going to be one of the first to be able to outrun a cancer like this, or I’m going to be one of the last to die from it.” And the holy grail – extending human life
  16. 16. The tesla value exchange is data
  17. 17. 17 And data is going to impact recalls and lawsuits forever
  18. 18. 18 8.5x 34x But what do we know about tesla drivers?
  19. 19. Data has to impact how you run your business
  20. 20. Making personalized recommendation for customers Anticipate the future performance of employees Forecasting long term customer loyalty Rating the credit risk of loan applicants AND SIGNIFICANTLY INCREASE THE REWARD AT A MUCH LOWER RISK
  21. 21. V S. UNANSWERED CALLS MULTIPLE APPLICATIONS FROM SAME WI-FI HOT SPOT SAME APPLICANT FROM TWO DIFFERENT PHONES BORROW IN ONE CITY AND SPEND IN ANOTHER 30,00O LOAN APPLICATIONS A DAY. TO PEOPLE UNDER 30 YRS
  22. 22. $1 Trillion: but we are not equal
  23. 23. 23 Data is the consumer weapon to beat the system
  24. 24. 24 you will save enough to buy that new 2 in 1
  25. 25. 25 2500000 55,000 Revenue maximization with algorithmic pricing strategies
  26. 26. 26 And the big servers are allowing for it 20-30x 30-40x
  27. 27. 27 FORECASTING. YIELD & EXPENSE MANGEMENT. CUSTOMER DELIGHT. MARKETING EFFECTIVENESS Managing perishable commodities
  28. 28. 28 and driving impact with very small data
  29. 29. 29 Designing the guest experience today requires thinking through the entire travel process
  30. 30. From check-in to check-out – one customer view across departments
  31. 31. Pull media is being slowly and steadily being replaced by push media - Information, status updates, photos of your friends, cat videos, news… They come at you. They find you….And the media that don’t are hardly found at all
  32. 32. 32 Driving loyalty with deep customer data
  33. 33. And data transparency is a whole new idea EVERLANE Buy Less Buy Better As a business we appreciate holiday shopping but we feel the excess around Black Friday has put the focus on quantity over quality Because we want to help people consume less by creating fewer longer lasting products, we decided to shut down the site today Have a wonderful holiday and we will be back tomorrow
  34. 34. IS THERE A PERFECT HOME…
  35. 35. …THERE COULD BE A PERFECT HOME by analyzing data VIDEO
  36. 36. WHO WANTS TO BE A MILLIONAIRRE EVEN CONSUMERS USE BIGGER DATA FOR REVENUE MAXIMIZATION LIFE LINES 50/50 – 50% Phone a Friend – 65% Poll Audience – 91%
  37. 37. Data is the Voice of the Customer, Data Science is the Interpretation of that Voice
  38. 38. MAKE IT WORK FOR THE PEOPLE THAT LIVE ON THE PLANET
  39. 39. Data & human insight MAKES FOR A powerful combination
  40. 40. WHAT’S YOUR FAVORITE PIE?
  41. 41. See different See new See better IT IS NOT ABOUT SEEING MORE
  42. 42. Like Pepsi more than Coke Believe in UFO, Check FB constantly, Small town Read Wired magazine Prefer redheads Use fake ID Have been, teacher coach or mentor Use Mac Dancer USE IPHONE TIP GENEROUSLY Use Android Be female DOG PERSON WATCH SEINFELD AND NOT X FILES Like the Cookie Monster Believe in life after death Like Pulp in your Orange juice Cross street against the light Foodie Fear dentists SPEAK MORE THAN 4 TV IS SMALLER THAN 42” If you : Then you are more likely to: Big data means – “don’t start with a hypotheses”
  43. 43. 44 CUSTOMER CENTRICITY makes SMALL DATA meaningful
  44. 44. What work arounds have people invented Do you have job that needs to be done Where do you see non consumption THERE IS as MUCH TO LEARn FROM buyers as prospects What tasks do people want to avoid What surprising uses have customers invented for existing products
  45. 45. 46 SO WHAT jobs are people trying to get done while BUYING AN APARTMENT
  46. 46. 47 Do you have job that needs to be done What work around have people invented What tasks do people want to avoid What surprising uses have customers invented for existing products SMALL DATA OFTEN LEADS TO INNOVATION
  47. 47. 48 HOW CAN DRUNKEN DRIVING BE TO YOUR ADVANTAGE?
  48. 48. 49 BY LOOKING AT DATA THAT MATTERS
  49. 49. 50 AND TURN THAT IN TO REVENUE EVERY NIGHT
  50. 50. AND increase THE REVENUE OF YOUR PARTNERS
  51. 51. 52 YES SO WHAT IS SHOPPING? Shopping is about making decisions should I get insurance? should I buy a jacket for the interview? should I get braces? should I take that class?
  52. 52. 53 CHOICE CRIPPLES YOU
  53. 53. 30% 3% 6 24 AND HAS IMPACT ON REVENUES
  54. 54. 3913639136 MORE CHOICE CRIPPLES EVEN MORE...
  55. 55. 56 ...IF YOU DON’T use data to provide SHOPPING ASSISTANCE
  56. 56. There is no greater objective than customer obsession “To invent you have to experiment, and if you know in advance that it's going to work, it's not an experiment.” -Jeff Bezos, Amazon “We're not competitor obsessed. We start with the customer and we work backwards.”
  57. 57. PERSONALIZ E IT IS ABOUT ME. WHAT CAN YOU DO FOR ME? KNOW RECOMM END
  58. 58. 59 The aspiration that every retailer should have PUSHING THE LIMITS OF AVAILABLE TECHNOLOGY AND INFRASTRUCTURE IN ABSOLUTE SERVICE OF THE INDIVIDUAL CUSTOMER
  59. 59. 60 Technology is not the laggard. Businesses are TECHNOLOGY HAS PROGRESSED FAR FASTER THAN BUSINESS AND MARKETING’S ABILITY TO REDEFINE ITSELF AROUND A PERSONALIZED DELIVERY Iles Pavey. Chief scientist - Dunnhumby
  60. 60. Of retail executives say consumers are increasingly demanding a personalized approach to shopping online and in store -Drapers & Retail Week Personalization Report March 2016 We know it
  61. 61. VIDEO
  62. 62. Drive personalization data to increase consideration
  63. 63. 64 Drive personalization data to increase conversion
  64. 64. 65 VIDEO
  65. 65. 66 And finally personalization to change your revenue model
  66. 66. 67 Cost of device: £470 Box of 28 capsules: £22 - £29 30ml pot of serum: £16 - £20 And finally personalization to change your revenue model
  67. 67. FOR YOU FOR SALE
  68. 68. Intel Confidential – NDA use only. Eliminating friction through intelligence - real and artificial
  69. 69. ONE CLICK I NO CLICK I HANDS FREE
  70. 70. AND THE pain for all RETAILERS - ABANDONMENT
  71. 71. 72 ELIMINATING THE SHOPPING CART
  72. 72. Eliminate FRICTION WITH REAL TIME INTERACTIVITY
  73. 73. 50 % of search queries will be speech or image by 2019 Andres Ng, Baidu 60,0 00x Visuals are processed 60,000X faster in the brain than text 3M Corporation, 2001 AND THAT INTERACTIVITY will have to be on the USER’S TERMS
  74. 74. i Even banking is being driven by voice
  75. 75. MISSING THIS TREND COULD HAVE BIG LONG TERM EFFECTS
  76. 76. 77
  77. 77. Where are you In the journey? Do you know who visited you store today? How well do you know them? Do you know why they bought? Do you know why they did not buy? NOW WHAT WILL YOU DO ABOUT IT? THIS IS THE BEGINNING OF BEING A DATA COMPANY
  78. 78. In-store cameras- video analytics for revenue maximization Study the heat maps What parts of the store gets the most traffic? Are there some products that are more eye stopping that others? Did they walk past it or did they engage on the keyboard/screen? What software did they use
  79. 79. WhatsApp and wechat to befriend customers Always find an excuse to get it Serve them. Don’t spam them Get to know them better Let them know when their favorite product is in-store Let them know when it is available at a lower price And through reco engines offer them products that may interest them Connect straight to commerce
  80. 80. Instant Mobile display for closing the sale Past purchase record Past interest record Past interaction record Any thing interesting / specific about the person from LinkedIn I Facebook I Instagram …That allows your sales person to have an engaging conversation and SELL
  81. 81. From purchase record identify their preferences / passions Game controllers  Gaming PC DSLR Camera  Hi Performance Notebook with s/w preloaded Fashionable phone covers – thin, light sexy electronics Deep personalization online. Partial personalization offline
  82. 82. In-store customization Turn by Turn navigation Take me to a product Take me - Only to ‘editors picks’ - Only to highest rated products - Only to products on markdowns - Only to products that my friends have bought View in-store inventory
  83. 83. Use the sales data to shelve and display Look at product reviews to ensure that “Best review” products have premium spaces/hot spots Dynamically price “Poor review products” modular architecture for revenue optimization
  84. 84. Start with any category Encourage people to use the Bots before they come to the store Fun conversational style puts them at ease compared to an ad or a sales pitch Narrow the choice to 2 with BOTS Narrow the choice to 1 with the in-store sales advisor Connect straight to commerce Make choosing and buying easy with bots
  85. 85. Browse at home to indicate preferences Push notifications to your phone in-store In-store recommendations points you to products that meet your need Browsing behavior should drive your supply chain decisions Time spent on pages of your web site can drive pricing decisions Buy anywhere – return anywhere Make online to offline seamless
  86. 86. DATA & A.I WILL REVOLUTIONIZE MARKETING + BUSINESS TESTING, LEARNING, ACTING WILL BE REAL TIME, ALL THE TIME MAKE SHOPPING UBIQUITOUS, SEAMLESS, FRICTIONLESS SURIVIVAL HINGES ON HAVING A DATA SCIENCE MIND SET FOCUS ON PERSONALIZATION FOR REVENUE AND PROFITS summary
  87. 87. Jay Walker, TEDMED “Every powerful tool has a dark side. Every last one. Anything that is going to change the world by definition has to be able to change it for the worse as well as for the better. It doesn't work one way without the other.” In closing

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