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BI+Analytics Conference Trends Webinar on Top Analytic Trends

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Analytics Trends Webinar in the run up to the BI+Analytics Conference (ASUG BusinessObjects User Conference), August 2017

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BI+Analytics Conference Trends Webinar on Top Analytic Trends

  1. 1. Timo Elliott, SAP July 2017 Disruption Ahead: The Big Trends in Business Intelligence and Analytics
  2. 2. 2© 2017 SAP SE or an SAP affiliate company. All rights reserved. Introduction Analytics is more strategic than ever Artificial intelligence is taking over the world It’s time to monetize your data Things to do tomorrow Conclusion Agenda
  3. 3. 3© 2017 SAP SE or an SAP affiliate company. All rights reserved.
  4. 4. 4© 2017 SAP SE or an SAP affiliate company. All rights reserved. Tesla vs. General Motors 2011 2017 $50Bn $55Bn $2.5Bn 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 🚗 10,000,000 76,000 🚗
  5. 5. 5© 2017 SAP SE or an SAP affiliate company. All rights reserved. In the future, all products will be self-improving “Last year, it was still quite humanlike when it played,” said Mr. Ke after the game. “But this year, it became like a god of Go.” “AlphaGo is improving too fast,” he said in a news conference after the game. “AlphaGo is like a different player this year compared to last year.” SAP CoPilot is an Enterprise Digital Assistant -- what Siri, Alexa, and Cortana are to consumers.
  6. 6. 6© 2017 SAP SE or an SAP affiliate company. All rights reserved. Virtuous circle of data – start now! Best data Best products Most customers
  7. 7. Analytics is more strategic than ever
  8. 8. 8© 2017 SAP SE or an SAP affiliate company. All rights reserved. Technology priorities for 2017 and beyond Rank Technology Trend 1 BI/Analytics 2 Cloud 3 Digitalization / Digital Marketing 4 Infrastructure & Data Center 5 Mobile 6 Cyber and information security 7 Industry-Specific Applications 8 ERP 9 Networking, Voice, and Data Comms Ten out of Twelve years 2006-2017 ANALYTICS #1 Source: Gartner
  9. 9. 9© 2017 SAP SE or an SAP affiliate company. All rights reserved. Analytics is at the center of new digital business models
  10. 10. 10© 2017 SAP SE or an SAP affiliate company. All rights reserved. We are used to processes generating data for analytics BUSINESS PROCESS BUSINESS INTELLIGENCE A big change
  11. 11. 11© 2017 SAP SE or an SAP affiliate company. All rights reserved. But digital transformation is about analytics creating new processes BUSINESS PROCESS BUSINESS INTELLIGENCE A big change
  12. 12. 12© 2017 SAP SE or an SAP affiliate company. All rights reserved. Support decision-making, not just information gathering Make analytics and decision-making a robust, end-to-end, continuously improving process I believe that analytics is THE most important business process in organizations today – but we don’t treat it like one
  13. 13. Artificial Intelligence is taking over the world
  14. 14. 14© 2017 SAP SE or an SAP affiliate company. All rights reserved. At one level, nothing new … I helped launch Business Objects BusinessMiner in 1996 – 20 yrs. ago! “Data Mining for the Masses”
  15. 15. 15© 2017 SAP SE or an SAP affiliate company. All rights reserved. But now algorithms really are taking over Voice transcription Lip reading Image Descriptions
  16. 16. 16© 2017 SAP SE or an SAP affiliate company. All rights reserved. Detailed example: image recognition Source: https://www.eff.org/ai/metrics
  17. 17. 17© 2017 SAP SE or an SAP affiliate company. All rights reserved. Thankfully, still some things AI is awful at (for now…) Source: https://www.eff.org/ai/metrics
  18. 18. 18© 2017 SAP SE or an SAP affiliate company. All rights reserved. What’s in a name? Old! Partisan(?) (deep learning is part of ML, using neural networks)
  19. 19. 19© 2017 SAP SE or an SAP affiliate company. All rights reserved. Artificial intelligence AI is a “sociotechnical construct” indicating machine capabilities which solve complex tasks that were recently only possible by humans (equally well or better) Technical disciplines that solve business problems through the extraction of knowledge from data. Deep learning Machine learning Data Science Big Data Advanced Analytics Predictive Analytics Data mining
  20. 20. 20© 2017 SAP SE or an SAP affiliate company. All rights reserved. Predictive analytics: easy first step Model deployed using In-Database-Apply Customer Database Hancock, John M 38 D Y 4.2 N Y Doe, Jane F 45 M Y 9.4 N N Red, Simply F 18 S N 2.1 N Y SQL Dataset w/ Scoring Business Users can get on-the-fly scoring without even knowing they are using predictive algorithms BI Artifact (or even just a dataset) SAP BI (3.x/4.x) Embedded into any application SQL (Or any other application)
  21. 21. 21© 2017 SAP SE or an SAP affiliate company. All rights reserved. Predictive trends At “peak of inflated expectations” Predictive is a lower priority than data discovery/self-service, data quality, governance, … But higher use of predictive is … predicted The top users of predictive are now BI Experts & Business Analysts – not data scientists Biggest challenges: greater volume & variety of data, operationalizing predictive, usability, skills/understanding
  22. 22. 22© 2017 SAP SE or an SAP affiliate company. All rights reserved. Situational Awareness What do I need to do right now? Prediction What can I expect to happen? Suggestion What do you recommend? Notification What do I need to know? Perception What’s happening now? Artificial intelligence-powered processes Automation What should I always do? Prevention What can I avoid? Requires: • Large amounts of robust training data • Decision process expertise • Embedding in process flows
  23. 23. 23© 2017 SAP SE or an SAP affiliate company. All rights reserved. Machine learning everywhere Source; McKinsey & Company Machine Learning has broad potential across industries and use cases “the value of the potential benefits of automation—calculated as a percentage of operating costs— could range from between 10– 15% for a hospital emergency department to 25% for aircraft maintenance, and to more than 90% for mortgage origination.”
  24. 24. 24© 2017 SAP SE or an SAP affiliate company. All rights reserved. It’s mostly about automation Source: http://gartner.com/SmarterWithGartner “In 2018, half a billion users will save two hours a day thanks to AI-powered tools.” Gartner But also about AI = Augmented Intelligence
  25. 25. 25© 2017 SAP SE or an SAP affiliate company. All rights reserved. Artificial intelligence + analytics = “smart data discovery” Preparing data Finding patterns Sharing and operationalizing
  26. 26. 26© 2017 SAP SE or an SAP affiliate company. All rights reserved. « Une grande responsabilité est la suite inséparable d’un grand pouvoir » – Voltaire Beware: ethics ahead! (“with great power comes great responsibility”)
  27. 27. 27© 2017 SAP SE or an SAP affiliate company. All rights reserved. Minimum: make sure there’s monitoring + overrides! https://www.linkedin.com/pulse/risks-unfettered-ai-tony-bain “Implementing machine learning systems with real world influence, without a “sanity” override can lead to undesired consequences.”
  28. 28. It’s time to monetize your data
  29. 29. 29© 2017 SAP SE or an SAP affiliate company. All rights reserved. From the Vs to the Ms “By 2020 – 10 percent of organizations will have a highly profitable business unit specifically for productizing and commercializing their information assets.” Gartner
  30. 30. 30© 2017 SAP SE or an SAP affiliate company. All rights reserved. Despite everything, data is still not treated as a strategic asset 5% 28% 26% 20% 21% Strongly Disagree Disagree Neutral Agree Strongly Agree “My organization values our information as a strategic asset – in words, and actions” Source: audience survey, Gartner Data & Analytics, London
  31. 31. 31© 2017 SAP SE or an SAP affiliate company. All rights reserved. “Most people have a better inventory of their office furniture than their own information assets” Doug Laney, Gartner First step: an information Inventory
  32. 32. 32© 2017 SAP SE or an SAP affiliate company. All rights reserved. SAP Data Network www.sapdatanetwork.com
  33. 33. Things to do tomorrow
  34. 34. 34© 2017 SAP SE or an SAP affiliate company. All rights reserved. What goes wrong? people and process! Source: Gartner, basis of approx. 2000 assessments from 2010 to 2016 Overall: 2.7 Business outcomes: 3.16 People: 2.62 Program Management: 2.82 Process: 2.54 Technology & data: 2.75
  35. 35. 35© 2017 SAP SE or an SAP affiliate company. All rights reserved. It’s all about culture … 1% 8% 6% 45% 40% Strongly Disagree Disagree Neutral Agree Strongly Agree “The most significant internal roadblock that I face in my role is culture and change management” Source: audience survey, Gartner Data & Analytics, London
  36. 36. 36© 2017 SAP SE or an SAP affiliate company. All rights reserved. BI Competency Centers vs. Analytic Communities of Excellence • Acquire and model the data • Create data warehouses • Create semantic models • Author reports • Grant access • Provision, certify data, enable access • Innovation lab • Identify common requirements • Consult on new projects • Provide pool of experts, including advanced analytics • Evangelize best practices, success stories • Facilitate training and skills advancement BICC: Do Most ACE: Do Some -- Enable More “We fly the planes” “We provide the airport & control tower”
  37. 37. 37© 2017 SAP SE or an SAP affiliate company. All rights reserved. Some tips There are no magic tools. It will always take effort People will always want more than you can provide People want self-service without education. Not possible. Giving people the best paintbrush in the world will not make them Picasso Iteration has to be welcomed, not penalized Develop data visualization expertise Your job is to make people think Take human behavior into account
  38. 38. Conclusion
  39. 39. 39© 2017 SAP SE or an SAP affiliate company. All rights reserved. Community & dialog Conferences, user groups, SAP events…. SAP Community network, blogs, social media….
  40. 40. Thank you! Timo Elliott timo.elliott@sap.com timoelliott.com @timoelliott timoelliott.com/cartoons

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