Analytics: Innovation in Real-Time. Timo Elliott May 2012

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1 Analytics: Innovation in Real-Time Timo Elliott May 2012

2 What s New? World Volatility 2

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

5 Business Analytics Market Shares Business Analytics Market (BI, EPM, Analytic Applications) Share of Market, 2011 SAP Oracle 15.6% 23% SAS Institute 13.2% IBM 11.6% Gartner Market Share Analysis: Business Intelligence, Analytics and Performance Management Software, Worldwide, published May SAP AG. All rights reserved. Internal 5

6% Gartner Market Share Analysis: Business Intelligence, Analytics and Performance

8 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 2012 SAP AG. All rights reserved. Internal 8

mid-20th-century management processes all built atop

9 Remove Bottlenecks Give business people what they ve been asking for

15 Walkers Crisps Identified new cost savings 16

19 Mobility: Holding Supercomputers in Our Hands The ipad 2 could have stayed on the list of the world s fastest supercomputers through 1994 (And the new ipad is at least twice as fast!) 2012 SAP AG. All rights reserved. Internal 20

supercomputers through 1994 (And the new ipad is at least

21 Cornell Bookstore. Dependent factors Hidden relationship Limitation of regression model Forecasting based on multiple factors Predictive analytics on out-of-stock books 2012 SAP AG. All rights reserved. Internal 22

26 Can You Remove Bottlenecks in Your Business? Data Volume/ Complexity Flexibility Sustainability Unstructured data Social data Access on the move Transparency 2012 SAP AG. All rights reserved. Internal 27

27 It s not about knowing, it s about doing

49 Smart Meter Analysis 0 hrs 24 hrs 0,06 00,05 hrs 24 hrs 0,04 0,03 0,06 0,02 0,05 0,01 0,04 0 0,03 0,02 0,01 0,04 0 0,03 consumption consumption [kwh] [kwh] 1 0,02 0,04 0,01 0,03 0,02 0,01 0,03 0,02 0,01 0,05 0 0,05 0,02 0,04 0,01 01,00E-01 6,00E-02 1,00E-01 4,00E-02 8,00E-02 2,00E-02 6,00E-02 0,00E+00 4,00E-02 2,00E-02 0,00E+00 0,05 0,03 0,05 0,02 0,04 0,03 0,01 0,02 0 0,04 0,03 0 8,00E-02 0,04 0 0,01 0 typical size: millions of daily profiles 2 Millions of daily consumption profiles contain valuable information about customer behavior for a better energy management In-memory pattern recognition algorithm crunches typical load profiles out of those huge amount of data to summarize those data and categorize user behavior. 3 Instead of exploring millions of individual profiles it is sufficient to take a look at the typical pattern in the data to understand user behavior. Those pattern are the basis for other follow-up processes 2012 SAP AG. All rights reserved. Internal 50

52 Can You Rethink Your Business? Real-Time Decisions Geographic Analysis Customer Interaction Applications Predictive, Risk-Based Planning Mobile Applications Sensor Data Customer-Facing Benchmarks 2012 SAP AG. All rights reserved. Internal 53

53 Flip Business Models Lead industry change

58 Can You Flip Your Business Model? Turn Products Into Services Customized, Personalized Iterative, Real-Time Improvements Work With Your Ecosystem Unthinkable Apps 2012 SAP AG. All rights reserved. Internal 59

59 The New Analytic Possibilities Are Endless Instantly predict market trends and customer needs Predict how market price volatility will impact your production plans See changes in demand or supply across your entire Supply Chain immediately Monitor and analyze all deviations and quality issues in your production process Provide exactly the right offers and service levels to every customer Have a continuously-updated window onto future sales, showing changes in real time Understand what your customers and potential customers are saying about you, right now Predict cash flows to manage collections, risk and shortterm borrowing in real time 2012 SAP AG. All rights reserved. Internal 60

64 Conclusion Time to rethink your analytic technology Big data, mobile, social, collaboration, cloud Time to rethink your business Look for new opportunities to: eliminate bottlenecks, rethink business processes, flip business models You can start today Don t be left behind 2012 SAP AG. All rights reserved. Internal 66

65 Thanks! You Should Follow Me on Analytics Blog: timoelliott.com

RUN BETTER FOR COMPETITIVE ADVANTAGE. Timo Elliott

RUN BETTER FOR COMPETITIVE ADVANTAGE Timo Elliott HOW DO YOU BUILD COMPETITIVE ADVANTAGE? 1 Customer Intimacy 2 Product Leadership 3 Category Renewal 4 Operational Excellence 2011 SAP AG. All rights reserved.