Inspiring Analytics: Tips and Examples for Achieving Better Business, Not Just Better Systems
 

Inspiring Analytics: Tips and Examples for Achieving Better Business, Not Just Better Systems

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http://spr.ly/SBOUC_VP - The last few years have seen massive changes in analytics technology, but organizations often struggle to take full advantage of these changes because they are focused on ...

http://spr.ly/SBOUC_VP - The last few years have seen massive changes in analytics technology, but organizations often struggle to take full advantage of these changes because they are focused on existing ways of working rather than future possibilities. This presentation aims to educate, entertain, and inspire, with a wide range of examples of how people have used brand-new technology (big data, social analytics, mobile analytics, etc.) not only to remove existing analytics bottlenecks, but also rethink business processes and flip industry business models.

Presenter: Timo Elliott, SAP

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Inspiring Analytics: Tips and Examples for Achieving Better Business, Not Just Better Systems Inspiring Analytics: Tips and Examples for Achieving Better Business, Not Just Better Systems Presentation Transcript

  • September 10-13, 2012 Orlando, FloridaINSPIRING ANALYTICS: TIPS AND EXAMPLES FOR ACHIEVINGBETTER BUSINESS, NOT JUST BETTER SYSTEMSTimo Elliott
  • Abstract The last few years have seen massive changes in analytics technology, but organizations often struggle to take full advantage of these changes because they are focused on existing ways of working rather than future possibilities. You may be attending this conference primarily to learn about the updates to analytics technology, but please consider taking this opportunity to think about the higher goals of your daily work. This presentation aims to educate, entertain, and inspire, with a wide range of examples of how people have used brand-new technology (big data, social analytics, mobile analytics, etc.) not only to remove existing analytics bottlenecks, but also rethink business processes and flip industry business models. The best analytics system in the world is useless unless it makes a difference to the business, and explaining the new opportunities to business leaders is a critical part of any analytics project leaders role. This session is designed to give attendees concrete steps to make a real difference in their organizations.
  • Learning Points • Your job isnt about technology innovation; its about business innovation. • Organizations like yours have used analytics to change the way they do business, not just provide "better answers". • By following some concrete steps, you can find opportunities for business improvement in your organization.
  • Business isLike Surfing 4
  • “The age of software was fun – welcome to the age of data…” “Organizations earn $10.66 for every $1 spent on analytics”Source: Nucleus Research, “Analytics pays back $10.66 for every dollar spent”, December 2011 5
  • Top Technology Priorities of CIOs, Gartner 2011 2012Rank Technology Rank Technology1 Cloud computing 1 Analytics and business intelligence2 Virtualization 2 Mobile technologies3 Mobile technologies 3 Cloud computing (SaaS,4 IT management IaaS, PaaS)5 Business Intelligence 4 Collaboration6 Networking, voice, and technologies (workflow) data communications 5 Legacy modernization7 Enterprise applications 6 IT management8 Collaboration 7 CRM technologies 8 ERP applications9 Infrastructure 9 Security10 Web 2.0 10 Virtualization 6
  • Surging Growth in Business Analytics +16.4% BI growth has more than quadrupled over last two years!“After three decades, the business analytics +13.4% market is finally reaching the mainstream There are few growth inhibitors in the foreseeable future” Dan Vesset, IDC +3.8% 2009 2010 2011Gartner: worldwide BI, analytics and performance management software revenue 7
  • Analytics is an Ever-Increasing Share of IT Budget “BI spending has far surpassed IT budget growth overall for several years” +4.3% Dan Sommer, Gartner +4.1% 3.9% 2009 2010 2011Gartner: worldwide BI, analytics and performance management software revenue 8
  • IT Spending Per Head Rising FastNew revenue generated from ITinitiatives (enterprise innovation, context- +60%aware computing, social networks, etc.)will become the primary factordetermining CIOs compensation.Information-smart businesses willincrease recognized IT spending perhead by 60%.“Enterprise leaders and stakeholders mustchange their way of thinking that “loweris better” for IT spending per employee” Gartner Predicts 2011 2011 2015 9
  • BI More Successful Than Ever2011 Successful BI Survey 10
  • Business Analytics Market SharesBusiness Analytics Market (BI, EPM, Analytic Applications)Share of Market, 2011 SAP 24% Oracle 15.6% SAS Institute 12.6% IBM 12.1% Microsoft 8.1%Gartner Market Share Analysis: Business Intelligence, Analytics and Performance Management Software, Worldwide, published April 2012 11
  • Technology Trends 12
  • Sum of All This = Better BusinessSystems of Engagement? 13
  • High-Resolution Management “Right now, your company has: • 21st-century, Internet-enabled business processes • mid-20th-century management processes • all built atop 19th-century management principles.” – Gary Hamel 14
  • Remove Bottlenecks Give business people what they’ve been asking for
  • In-Memory Computing is Like Photography A transformative technology that slowly but surely upturns the whole industry 16
  • Business / IT Tension But the I need my system can’t reports NOW! cope! 17
  • Colgate-Palmolive Able to run detailed profitability analysis for the first time 18
  • Provimi“3-3-3 Just do it!” Increased workingcapital by €20 Million 19
  • Red BullImproved data compression and load times: 1.5 TB 300 GB 50 mins 2 mins 20
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  • Danone Sustainability reporting on 35,000 products 22
  • Walkers Crisps Identified new cost savings 23
  • Medtronic Combine structured and unstructured data for business value 24
  • What About Social Data? 25
  • Social Analytics Combine inventory and social media data to understand trends 26
  • General Mills Combine social voice-of-customer data with structured data warehouse 27
  • Zespri Complex planning tooptimize 100M trays of Kiwi fruit / year 28
  • Mobility 29
  • Altron Allied Electronics “The days of our users and execs being in the office have gone. They work from home or on the road. We had to develop a solution that gets information out to where our people are. Everything we do is mobile first. In addition, it’s less cumbersome and cheaper to buy and use a tablet than any other form.” Debra-Lynn Marais Group Information Manager Altron Allied Electronics 30
  • Cornell Bookstore . Dependent factors Hidden relationship Limitation of regression model Forecasting based on multiple factors Predictive analytics on out-of-stock books 31
  • Cleveland Clinic 32
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  • Can You Remove Bottlenecks in Your Business? Data Volume/ Complexity Flexibility Sustainability Unstructured data Social data Access on the move Transparency 35
  • It’s not about knowing, it’s about doing
  • Fresh Direct “Our Food is Fresh. Our Customers Are Spoiled” 37
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  • React to changes in time to make a difference 39
  • Parking Ticket Optimization Leverage spatial data 40
  • Fruit Ratings Provide data to customers to improve loyalty 41
  • Houghton Mifflin Harcourt Better predictions for competitive advantage 42
  • Charité University HospitalRethink processes using mobile devices Doctors with tablets 43
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  • Customer Intimacy 45
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  • Mobile Tracking: Airports>1m data points per day and growing (~10% customers with smartphones) 47 47
  • Telemetry for the Rest of Us 48
  • Intelligent Shoes 49
  • Intelligent Pills 50
  • Snail Tracking Creative interpretation of a transponder-wearing snail 51
  • Snail Tracking 52
  • Smart Meters1.8 Million Smart Meters by 2015 53
  • Efficiency Savings: $70 million over three years 54
  • Electricity Theft 77,000 homes, $100 Million a Year, 3% of bills 55
  • Smart Meter Analysis 0 hrs 24 hrs 0 hrs 0 ,0 6 24 hrs 0 ,0 5 0 ,0 4 0 ,0 3 0 ,0 6 2 0 ,0 0 ,0 5 1 0 ,0 0 ,0 4 0 0 ,0 3 0 ,0 2 0 ,0 1 0 ,0 4 0 0 ,0 3 0 ,0 2 0 ,0 4 0 ,0 1 consumption [kWh] 0 ,0 3 0 0 ,0 2 0 ,0 1consumption [kWh] 0 ,0 5 0 0 ,0 4 0 ,0 3 In-memory pattern recognition 0 ,0 5 0 ,0 2 0 ,0 4 0 ,0 1 0 ,0 3 2 algorithm crunches typical load 0 0 ,0 2 0 ,0 1 profiles out of those huge amount 0 1,0 0E -0 1 8,0 0E -0 2 of data to “summarize” those data 6,0 0E -0 2 1 ,00 E-0 1 4,0 0E -0 2 8 ,00 E-0 2 and categorize user behavior. 2,0 0E -0 2 6 ,00 E-0 2 0 ,00 E+ 0 0 4 ,00 E-0 2 2 ,00 E-0 2 0 ,0 0 E+ 00 0 ,0 5 0 ,0 4 0 ,0 3 0 ,0 5 Instead of exploring millions of individual 0 ,0 2 0 ,0 4 0 ,0 3 1 0 ,0 0 ,0 2 0 3 profiles it is sufficient to take a look at the 0 ,0 1 typical pattern in the data to understand 1 typical size: millions of daily profiles 0 user behavior. Those pattern are the basis for other follow-up processes Millions of daily consumption profiles contain valuable information about customer behavior for a better energy management 56
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  • Can You Rethink Your Business? Real-Time Decisions Geographic AnalysisCustomer Interaction Applications Predictive, Risk-Based Planning Mobile Applications Sensor Data Customer-Facing Benchmarks 58
  • Flip Business Models Lead industry change
  • Analytics First An author with a novel idea… 60
  • 61
  • Personalized Offer Testing 62
  • Can You Flip Your Business Model? Turn Products Into Services Customized, PersonalizedIterative, Real-Time Improvements Work With Your Ecosystem “Unthinkable Apps” 63
  • The New Analytic Possibilities Are Endless… Instantly predict market trends Provide exactly the right offers and customer needs and service levels to every customer Predict how market price Have a continuously-updated volatility will impact your window onto future sales, production plans showing changes in real time See changes in demand or Understand what your supply across your entire customers and potential Supply Chain immediately customers are saying about you, right now Monitor and analyze all Predict cash flows to manage deviations and quality issues collections, risk and short- in your production process term borrowing in real time 64
  • Business Intelligence InnovationBI Core Creative Mobile Extreme Social Core for For IT and First experience Big data Capture the innovation Department for BI Real-time decision Complete BI Fast time-to- Content to point Predictive Opinion and Suite value of impact Facts Continued Connected to Expand to Leverage Leadership the Enterprise untapped users the network Innovation without Disruption 65
  • We Have Faulty Perceptions 66
  • So Be Humble! 67
  • “The stone age was marked bymans clever use of crude tools; theinformation age, to date, has beenmarked by mans crude use of clevertools.” 68
  • Conclusion It’s time to rethink your analytic technology platform • Big data, mobile, social, collaboration, cloud… It’s time to rethink your business • Look to eliminate bottlenecks, rethink business processes, flip business models You should start today! • There are great new analytic opportunities, and YOU are the best person to bridge the gap between the business and technology
  • Thanks! You Should Follow Me on Twitter: @timoelliott Email: timo.elliott@sap.com Business Analytics Blog: timoelliott.com
  • Thank you for participating.Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 1204Learn more year-round at www.asug.com