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Pervasive Location Analytics − The Next
[
Frontier to Fall In the Enterprise Software?
Jitender Aswani, Strategy, Business Analytics, SAP
Agenda


1. Big Data & Pervasive Nature of Location-Based

         Solutions

2. Location Aware Solutions from SAP

3. Demos From Centigon Solutions, Fresh Direct

         and SAP

4. Q&A
© 2011 SAP AG. All rights reserved.              2
The Unstoppable Data Deluge…


    In year 2008, a firm managing the supply
    chain for retail clients saw…



                100 GB of data per day

 …flow through its network.
  Source: The Economist
kilobyte (KB)   103   megabyte (MB)   106   gigabyte (GB)   109   terabyte (TB)   1012   petabyte (PB)   1015   exabyte (EB)   1018   zettabyte (ZB)   1021   yottabyte (YB)       1024

 © 2011 SAP AG. All rights reserved.                                                                                                                                           3
The Unstoppable Data Deluge…


   and in year 2010, the amount of data flowing
   through the network has increased by…



            10x to 1 TB of data per
                      day
  Source: IDC
kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024

  © 2011 SAP AG. All rights reserved.                                                                                                           4
The Unstoppable Data Deluge…


 In year 2009, American Drone aircraft sent
 back…



                                      24 Years

…worth of video footage.
Source: The Economist
© 2011 SAP AG. All rights reserved.              5
The Unstoppable Data Deluge…


 and the next generation Drone models are
 expected to produce…



                                  10 to 30 times

…more data.
Source: The Economist
© 2011 SAP AG. All rights reserved.                6
The Unstoppable Data Deluge…


   In 2005, humanity created…




                                                      150 EB

 …of data.
  Source: IDC
kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024

  © 2011 SAP AG. All rights reserved.                                                                                                           7
The Unstoppable Data Deluge…


   In 2010, humanity created…




                      8x more (1,200 EB)

 …of data.
  Source: IDC
kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024

  © 2011 SAP AG. All rights reserved.                                                                                                           8
The Unstoppable Data Deluge…


 According to IDC, data is…

                                               doubling
 …every two years and is expected to reach…

                                                      1.8 ZB
 …(a trillion GB) in 2011.
  Source: IDC
kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024

  © 2011 SAP AG. All rights reserved.                                                                                                           9
Ever increasing demand for smart analytical solutions that
can harness the Big Data and generate the right business
insights…




Source: The Economist
© 2011 SAP AG. All rights reserved.                      10
What –When-Where – Three questions all business ask
universally - the classic Business Analytics equation…



 “What” happened?
 “When” it happened?
 “Where” it happened?

© 2011 SAP AG. All rights reserved.                      11
The “What” in “What-When-Where” Business
Analytics equation…




                                      Worldwide, S
                                      AP’s carbon
                                       emission
                                      reduce
                                        d…
Source: SAP
© 2011 SAP AG. All rights reserved.                  12
The “When” in “What-When-Where” Business
Analytics equation…




                                      In2010    ,
                                      carbon
                                      emission
                                      reduced by
                                      6% from
                                      2009
                                      levels…
Source: SAP
© 2011 SAP AG. All rights reserved.                 13
The “Where” in “What-When-Where” Business
Analytics Equation…




                                      Carbon
                                      emission
                                      reduced in
                                      both
                                      EMEA
                                      and NA
Source: SAP
© 2011 SAP AG. All rights reserved.
                                      from 2009 to 14
Analyzing data on “Where” a.k.a location (geo)
dimension has not been that exciting…


                                             Region      2009          2010
                                             EMEA     287,115,120   259,280,691



  Region          2009                2010
 Americas 95,348,551            90,469,039


                                                                              Region      2009         2010
                                                                                  APJ   64,627,692   71,738,049




Source: SAP
© 2011 SAP AG. All rights reserved.                                                                           15
If data had both time and location (geo)
dimensions, few visualization solutions could
help…
  City                2009            2010   City          2009      2010       City                  2009       2010
 Argentina          1,892,604   2,944,954    Indonesia      212,127   380,830   Russian Federation    2,897,359 3,368,540
 Australia          3,857,067   4,473,135    Ireland      5,375,244 7,445,584   Saudi Arabia             87,135   275,082
 Austria            3,456,312   3,575,161    Israel      11,045,459 9,889,998   Serbia                  325,843   279,582
 Belgium            2,720,480   2,883,628    Italy        5,408,633 5,969,910   Singapore             2,559,895 3,632,802
 Brazil             4,796,593   7,834,214    Japan        6,753,585 6,873,820   Slovakia              1,071,815 1,021,035
 Bulgaria           2,242,471   1,756,235    Kazakhstan     167,267    94,186   Slovenia                217,525   245,225
 Canada             7,763,254 10,553,272     Latvia          13,099    17,470   South Africa          4,544,139 3,409,266
 Chile                427,713     742,903    Lithuania       36,742    39,872   South Korea           1,427,186 1,846,810
 China             11,463,525 13,793,752     Luxembourg      59,651    58,426   Spain                 3,002,220 3,785,371
 Colombia             715,549   1,309,819    Malaysia       732,026   968,832   Sweden                  809,708   809,941
 Croatia              196,538     230,429    Mexico       2,480,174 3,747,303   Switzerland           5,519,681 5,279,232
 Cyprus                26,188      30,966    Netherlands  4,995,668 4,952,921   Taiwan                  496,947   650,776
 Czech -Rep         3,043,642   3,030,376    New Zealand    257,704   302,707   Thailand                235,441   370,219
 Denmark            1,073,278   1,289,842    Nigeria         44,091   149,600   Turkey                  528,217   761,957
 Estonia                9,243      12,407    Norway         442,634   449,135   Ukraine                 433,289   491,498
 Finland            1,473,672   1,651,663    Other          779,936 1,544,873   United Arab Emirates    711,526 1,015,479
 France             9,581,919 10,695,747     Peru           249,568   441,814   United Kingdom       11,404,364 10,184,147
 Germany          197,207,281 166,986,765    Philippines    203,490   342,107   United States        76,350,285 61,884,405
 Greece               753,209     813,469    Poland       1,569,985 1,625,997   Venezuela               427,588   579,540
 Hong Kong            364,873     493,690    Portugal       905,358   968,307   Vietnam                             22,683
 Hungary            3,161,251   3,142,943    Puerto Rico    245,223   430,815
 India             36,063,826 37,585,886     Romania        552,984   593,299



Source: SAP
© 2011 SAP AG. All rights reserved.                                                                                  16
And as more than 70% of organizational data has
location elements − address, region, lat/long…




    Location Analytics or Location BI
   will go pervasive in the enterprise…




Source: Yellowfin
© 2011 SAP AG. All rights reserved.               17
Thanks to Google for democratizing maps, location
-based solutions are becoming pervasive…




Source: Southwest
© 2011 SAP AG. All rights reserved.            18
With the big governments…




Source: Census.gov
© 2011 SAP AG. All rights reserved.   19
And with the private enterprises…




Source: Centigon Solutions
© 2011 SAP AG. All rights reserved.   20
In increasing numbers in mobile apps…




© 2011 SAP AG. All rights reserved.     21
And social apps…




© 2011 SAP AG. All rights reserved.   22
And also with data enthusiasts and bloggers
among others…




Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.           23
England riots: was poverty a factor?
An example of Pervasive Location Analytics…


 #1 The data on England riots




Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.           24
England riots data mapped…




Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.   25
England riots: was poverty a factor?
An example of Pervasive Location Analytics…


 #1              The data on England riots

 #2              The data on poorest places in England




Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.                      26
England riots data mashed with poverty data…




 The map is colored by the Indices of Multiple deprivation, from blue (richest) to red
 (poorest). Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.                                                      27
England riots: was poverty a factor?
An example of Pervasive Location Analytics…

 #1              The data on England riots

 #2              The data on poorest places in England

 #3              The data from magistrate courts on rioters




Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.                      28
England riots data mashed with poverty and
rioters’ demographics data to answer questions…




 The map is colored by the Indices of Multiple deprivation, from blue (richest) to red
 (poorest). Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.                                                      29
England riots: was poverty a factor?
An example of Pervasive Location Analytics…




       Demo of Unlocking
     Location Based Insights
        on England Riots

Source: Guardian.co.uk
© 2011 SAP AG. All rights reserved.           30
Government has also put its “Big Data” on a map
to help citizens unlock location sensitive info…




                                  Demo on
                                Recovery.gov

Source: Recovery.gov
© 2011 SAP AG. All rights reserved.                31
Southwest Airlines is using maps in a very
innovative way to drive its travel business…




              Demo on Southwest
               GetAway Finder


Source: Recovery.gov
© 2011 SAP AG. All rights reserved.            32
Another fascinating example of Pervasive Location
Analytics: Global maps of news papers…




                 Demo on a map
                  based global
               newspaper solution

© 2011 SAP AG. All rights reserved.            33
Location-based solutions which bring geo data to
life and unlock location aware insights…




                                        ?
 Will it become pervasive in the enterprise




© 2011 SAP AG. All rights reserved.                34
1. Big Data & Pervasive Nature of Location-Based

         Solutions

2. Location Aware Solutions from SAP

3. Demos From Centigon Solutions, Fresh Direct

         and SAP

4. Q&A
© 2011 SAP AG. All rights reserved.           35
At SAP, we certainly think so, hence this strategic
partnership with Google…
 SAP and Google Team to Put “Big Data” on
 the Map, July 27, 2011
                                      http://youtu.be/VffG3MuQ4nc




© 2011 SAP AG. All rights reserved.                                 36
This strategic partnership will bring location-based
solutions from SAP in near future…
                                 Google Maps JavaScript API was built from scratch to be
                                 optimized on various platforms including desktop and mobile

                                 Google Earth API for 3D visualizations within a browser gives you
                                 full control of controls, layers and movements of Google Earth


                                 StreetView API for fully controlled applications leveraging the
                                 Google’s own StreetView imagery


                                 Geocoding API is a web service that finds the coordinates for a
                                 street address or finds the street address at a given location


                                 Elevation API is a web service that gives your business access to
                                 graph and analyze Google’s elevation data


                                 The Directions API has the ability to specify options
                                 like tolls, highways and biking directions

© 2011 SAP AG. All rights reserved.                                                                  37
SAP applications to leverage Google Maps to make
location-based enterprise solutions pervasive…

                  BI client tools
                  BI platform
                  On-demand applications
                  Mobile applications
                  And more…


© 2011 SAP AG. All rights reserved.           38
1. Big Data & Pervasive Nature of Location-Based

         Solutions

2. Location Aware Solutions from SAP

3. Demos From Centigon Solutions, Fresh Direct

         and SAP

4. Q&A
© 2011 SAP AG. All rights reserved.           39
GMaps Framework


Ryan Goodman
Centigon Solutions,
Inc.


ryan@centigonsolutio
ns.com
@rmgoodm
http://gmapsplugin.co
m


© 2011 SAP AG. All rights reserved.   40
Technology Convergence

                                                             Location
                                      BIG Data
                                                           Intelligence




   Operational                                    The
    Business
    Analytics                                    “Cloud”




                            Consumerization of
                                         IT




© 2011 SAP AG. All rights reserved.                                       41
GMaps Platform
 GMaps Platform




© 2011 SAP AG. All rights reserved.   42
Location Intelligence in Action




© 2011 SAP AG. All rights reserved.   43
Nimish Dixit, Fresh Direct


Senior Analyst, Transportation
Nimish has been involved in transportation operations and
business analysis at FreshDirect since 2006. He has been
a business champion for FreshDirect’s operational
analytics with experience building end to end management
processes.




© 2011 SAP AG. All rights reserved.                    44 44
About FreshDirect
       FreshDirect is the leading profitable online grocer in the U.S.

       600,000 customers in New York, New Jersey and Connecticut

       Fresh-from-the-farm foods and brand-name groceries at
        everyday low prices, all delivered to customers’ doors

       Expert 5-star Quality Ratings on all produce and seafood, daily

       Over 600 Entrees and Side Dishes, made fresh daily by
        professional chefs using the finest, freshest ingredients

       FreshDirect has fulfilled more than 12 million orders to date

       FreshDirect ranks 70th on Internet Retailers America’s Top 500
        guide
© 2011 SAP AG. All rights reserved.                                       45 45
FreshDirect’s Mission


                   Build a World Class Fresh Foods Company


      Re-Think and Shorten the Current Food Retail Supply
                Chain from Source to Customer


       Build the World’s Most Personalized Food Shopping
                           Experience




© 2011 SAP AG. All rights reserved.                          46 46
Operationalizing Data Consumption

FreshDirect Challenge:
How do you empower the front-line agent or manager to
confidently respond to the second or third degree
excuse/question that a report can’t answer?
                   Q. Why did you get a ticket?   A. No, I didn’t.
        Q. If you didn’t, why did we pay it? A. The cop
wrote it incorrectly

Mgmt Action: Let’s take a look
Solution: Build a management process that is supported
by visual, map-based dashboards as a key component.
© 2011 SAP AG. All rights reserved.                                  47 47
Parking Ticket Challenge

         Awareness & Tools: Communicate to drivers
          about how much FD pays in tickets



         Exception Reporting: DW/BOBJ weekly/daily
          reports highlighting bottom performers for metric



         Coaching and Management: Empower
          managers to own the conversation with drivers.
          Deploy map based dashboard.


© 2011 SAP AG. All rights reserved.                           48 48
Parking Ticket Dashboard at FreshDirect




© 2011 SAP AG. All rights reserved.       49
Driving Directions Dashboard at FreshDirect




© 2011 SAP AG. All rights reserved.           50
Pervasive Location Analytics – SAP
BusinessObjects Explorer iPad demo…




                          SAP’s carbon footprint
                           Explorer iPad demo




© 2011 SAP AG. All rights reserved.                51
Pervasive Location Analytics – SAP’s Visual
Business Demo – “Taking your business Visual”




© 2011 SAP AG. All rights reserved.             52
1. Big Data & Pervasive Nature of Location-Based

         Solutions

2. Location Aware Solutions from SAP

3. Demos From Centigon Solutions, Fresh Direct

         and SAP

4. Q&A
© 2011 SAP AG. All rights reserved.           53
Pervasive Location Analytics – Can I answer your
questions?




© 2011 SAP AG. All rights reserved.            54
Pervasive Location Analytics – My contact
information

          jitender.aswani@sap.com
          http://allthingsbusinessanalytics.blog
          spot.com/
          #jaswani
                                      Thank
                                       you!


© 2011 SAP AG. All rights reserved.                55
Appendix




© 2011 SAP AG. All rights reserved.   56
© 2011 SAP AG. All rights reserved.   57
© 2011 SAP AG. All rights reserved.   58
© 2011 SAP AG. All rights reserved.   59
Addressing travelling salesman’s business issues
using SAP Sales OnDemand (if time permits)…




                          Geo elements in Sales
                               OnDemand




© 2011 SAP AG. All rights reserved.               60
Addressing logistics related challenges using SAP
HANA and SAP BusinessObjects EventInsight…




                  Logistics and addressing
                 security threats iPad Demo




© 2011 SAP AG. All rights reserved.            61

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Pervasive Location Analytics

  • 1. Pervasive Location Analytics − The Next [ Frontier to Fall In the Enterprise Software? Jitender Aswani, Strategy, Business Analytics, SAP
  • 2. Agenda 1. Big Data & Pervasive Nature of Location-Based Solutions 2. Location Aware Solutions from SAP 3. Demos From Centigon Solutions, Fresh Direct and SAP 4. Q&A © 2011 SAP AG. All rights reserved. 2
  • 3. The Unstoppable Data Deluge… In year 2008, a firm managing the supply chain for retail clients saw… 100 GB of data per day …flow through its network. Source: The Economist kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024 © 2011 SAP AG. All rights reserved. 3
  • 4. The Unstoppable Data Deluge… and in year 2010, the amount of data flowing through the network has increased by… 10x to 1 TB of data per day Source: IDC kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024 © 2011 SAP AG. All rights reserved. 4
  • 5. The Unstoppable Data Deluge… In year 2009, American Drone aircraft sent back… 24 Years …worth of video footage. Source: The Economist © 2011 SAP AG. All rights reserved. 5
  • 6. The Unstoppable Data Deluge… and the next generation Drone models are expected to produce… 10 to 30 times …more data. Source: The Economist © 2011 SAP AG. All rights reserved. 6
  • 7. The Unstoppable Data Deluge… In 2005, humanity created… 150 EB …of data. Source: IDC kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024 © 2011 SAP AG. All rights reserved. 7
  • 8. The Unstoppable Data Deluge… In 2010, humanity created… 8x more (1,200 EB) …of data. Source: IDC kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024 © 2011 SAP AG. All rights reserved. 8
  • 9. The Unstoppable Data Deluge… According to IDC, data is… doubling …every two years and is expected to reach… 1.8 ZB …(a trillion GB) in 2011. Source: IDC kilobyte (KB) 103 megabyte (MB) 106 gigabyte (GB) 109 terabyte (TB) 1012 petabyte (PB) 1015 exabyte (EB) 1018 zettabyte (ZB) 1021 yottabyte (YB) 1024 © 2011 SAP AG. All rights reserved. 9
  • 10. Ever increasing demand for smart analytical solutions that can harness the Big Data and generate the right business insights… Source: The Economist © 2011 SAP AG. All rights reserved. 10
  • 11. What –When-Where – Three questions all business ask universally - the classic Business Analytics equation… “What” happened? “When” it happened? “Where” it happened? © 2011 SAP AG. All rights reserved. 11
  • 12. The “What” in “What-When-Where” Business Analytics equation… Worldwide, S AP’s carbon emission reduce d… Source: SAP © 2011 SAP AG. All rights reserved. 12
  • 13. The “When” in “What-When-Where” Business Analytics equation… In2010 , carbon emission reduced by 6% from 2009 levels… Source: SAP © 2011 SAP AG. All rights reserved. 13
  • 14. The “Where” in “What-When-Where” Business Analytics Equation… Carbon emission reduced in both EMEA and NA Source: SAP © 2011 SAP AG. All rights reserved. from 2009 to 14
  • 15. Analyzing data on “Where” a.k.a location (geo) dimension has not been that exciting… Region 2009 2010 EMEA 287,115,120 259,280,691 Region 2009 2010 Americas 95,348,551 90,469,039 Region 2009 2010 APJ 64,627,692 71,738,049 Source: SAP © 2011 SAP AG. All rights reserved. 15
  • 16. If data had both time and location (geo) dimensions, few visualization solutions could help… City 2009 2010 City 2009 2010 City 2009 2010 Argentina 1,892,604 2,944,954 Indonesia 212,127 380,830 Russian Federation 2,897,359 3,368,540 Australia 3,857,067 4,473,135 Ireland 5,375,244 7,445,584 Saudi Arabia 87,135 275,082 Austria 3,456,312 3,575,161 Israel 11,045,459 9,889,998 Serbia 325,843 279,582 Belgium 2,720,480 2,883,628 Italy 5,408,633 5,969,910 Singapore 2,559,895 3,632,802 Brazil 4,796,593 7,834,214 Japan 6,753,585 6,873,820 Slovakia 1,071,815 1,021,035 Bulgaria 2,242,471 1,756,235 Kazakhstan 167,267 94,186 Slovenia 217,525 245,225 Canada 7,763,254 10,553,272 Latvia 13,099 17,470 South Africa 4,544,139 3,409,266 Chile 427,713 742,903 Lithuania 36,742 39,872 South Korea 1,427,186 1,846,810 China 11,463,525 13,793,752 Luxembourg 59,651 58,426 Spain 3,002,220 3,785,371 Colombia 715,549 1,309,819 Malaysia 732,026 968,832 Sweden 809,708 809,941 Croatia 196,538 230,429 Mexico 2,480,174 3,747,303 Switzerland 5,519,681 5,279,232 Cyprus 26,188 30,966 Netherlands 4,995,668 4,952,921 Taiwan 496,947 650,776 Czech -Rep 3,043,642 3,030,376 New Zealand 257,704 302,707 Thailand 235,441 370,219 Denmark 1,073,278 1,289,842 Nigeria 44,091 149,600 Turkey 528,217 761,957 Estonia 9,243 12,407 Norway 442,634 449,135 Ukraine 433,289 491,498 Finland 1,473,672 1,651,663 Other 779,936 1,544,873 United Arab Emirates 711,526 1,015,479 France 9,581,919 10,695,747 Peru 249,568 441,814 United Kingdom 11,404,364 10,184,147 Germany 197,207,281 166,986,765 Philippines 203,490 342,107 United States 76,350,285 61,884,405 Greece 753,209 813,469 Poland 1,569,985 1,625,997 Venezuela 427,588 579,540 Hong Kong 364,873 493,690 Portugal 905,358 968,307 Vietnam 22,683 Hungary 3,161,251 3,142,943 Puerto Rico 245,223 430,815 India 36,063,826 37,585,886 Romania 552,984 593,299 Source: SAP © 2011 SAP AG. All rights reserved. 16
  • 17. And as more than 70% of organizational data has location elements − address, region, lat/long… Location Analytics or Location BI will go pervasive in the enterprise… Source: Yellowfin © 2011 SAP AG. All rights reserved. 17
  • 18. Thanks to Google for democratizing maps, location -based solutions are becoming pervasive… Source: Southwest © 2011 SAP AG. All rights reserved. 18
  • 19. With the big governments… Source: Census.gov © 2011 SAP AG. All rights reserved. 19
  • 20. And with the private enterprises… Source: Centigon Solutions © 2011 SAP AG. All rights reserved. 20
  • 21. In increasing numbers in mobile apps… © 2011 SAP AG. All rights reserved. 21
  • 22. And social apps… © 2011 SAP AG. All rights reserved. 22
  • 23. And also with data enthusiasts and bloggers among others… Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 23
  • 24. England riots: was poverty a factor? An example of Pervasive Location Analytics… #1 The data on England riots Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 24
  • 25. England riots data mapped… Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 25
  • 26. England riots: was poverty a factor? An example of Pervasive Location Analytics… #1 The data on England riots #2 The data on poorest places in England Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 26
  • 27. England riots data mashed with poverty data… The map is colored by the Indices of Multiple deprivation, from blue (richest) to red (poorest). Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 27
  • 28. England riots: was poverty a factor? An example of Pervasive Location Analytics… #1 The data on England riots #2 The data on poorest places in England #3 The data from magistrate courts on rioters Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 28
  • 29. England riots data mashed with poverty and rioters’ demographics data to answer questions… The map is colored by the Indices of Multiple deprivation, from blue (richest) to red (poorest). Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 29
  • 30. England riots: was poverty a factor? An example of Pervasive Location Analytics… Demo of Unlocking Location Based Insights on England Riots Source: Guardian.co.uk © 2011 SAP AG. All rights reserved. 30
  • 31. Government has also put its “Big Data” on a map to help citizens unlock location sensitive info… Demo on Recovery.gov Source: Recovery.gov © 2011 SAP AG. All rights reserved. 31
  • 32. Southwest Airlines is using maps in a very innovative way to drive its travel business… Demo on Southwest GetAway Finder Source: Recovery.gov © 2011 SAP AG. All rights reserved. 32
  • 33. Another fascinating example of Pervasive Location Analytics: Global maps of news papers… Demo on a map based global newspaper solution © 2011 SAP AG. All rights reserved. 33
  • 34. Location-based solutions which bring geo data to life and unlock location aware insights… ? Will it become pervasive in the enterprise © 2011 SAP AG. All rights reserved. 34
  • 35. 1. Big Data & Pervasive Nature of Location-Based Solutions 2. Location Aware Solutions from SAP 3. Demos From Centigon Solutions, Fresh Direct and SAP 4. Q&A © 2011 SAP AG. All rights reserved. 35
  • 36. At SAP, we certainly think so, hence this strategic partnership with Google… SAP and Google Team to Put “Big Data” on the Map, July 27, 2011 http://youtu.be/VffG3MuQ4nc © 2011 SAP AG. All rights reserved. 36
  • 37. This strategic partnership will bring location-based solutions from SAP in near future… Google Maps JavaScript API was built from scratch to be optimized on various platforms including desktop and mobile Google Earth API for 3D visualizations within a browser gives you full control of controls, layers and movements of Google Earth StreetView API for fully controlled applications leveraging the Google’s own StreetView imagery Geocoding API is a web service that finds the coordinates for a street address or finds the street address at a given location Elevation API is a web service that gives your business access to graph and analyze Google’s elevation data The Directions API has the ability to specify options like tolls, highways and biking directions © 2011 SAP AG. All rights reserved. 37
  • 38. SAP applications to leverage Google Maps to make location-based enterprise solutions pervasive…  BI client tools  BI platform  On-demand applications  Mobile applications  And more… © 2011 SAP AG. All rights reserved. 38
  • 39. 1. Big Data & Pervasive Nature of Location-Based Solutions 2. Location Aware Solutions from SAP 3. Demos From Centigon Solutions, Fresh Direct and SAP 4. Q&A © 2011 SAP AG. All rights reserved. 39
  • 40. GMaps Framework Ryan Goodman Centigon Solutions, Inc. ryan@centigonsolutio ns.com @rmgoodm http://gmapsplugin.co m © 2011 SAP AG. All rights reserved. 40
  • 41. Technology Convergence Location BIG Data Intelligence Operational The Business Analytics “Cloud” Consumerization of IT © 2011 SAP AG. All rights reserved. 41
  • 42. GMaps Platform GMaps Platform © 2011 SAP AG. All rights reserved. 42
  • 43. Location Intelligence in Action © 2011 SAP AG. All rights reserved. 43
  • 44. Nimish Dixit, Fresh Direct Senior Analyst, Transportation Nimish has been involved in transportation operations and business analysis at FreshDirect since 2006. He has been a business champion for FreshDirect’s operational analytics with experience building end to end management processes. © 2011 SAP AG. All rights reserved. 44 44
  • 45. About FreshDirect  FreshDirect is the leading profitable online grocer in the U.S.  600,000 customers in New York, New Jersey and Connecticut  Fresh-from-the-farm foods and brand-name groceries at everyday low prices, all delivered to customers’ doors  Expert 5-star Quality Ratings on all produce and seafood, daily  Over 600 Entrees and Side Dishes, made fresh daily by professional chefs using the finest, freshest ingredients  FreshDirect has fulfilled more than 12 million orders to date  FreshDirect ranks 70th on Internet Retailers America’s Top 500 guide © 2011 SAP AG. All rights reserved. 45 45
  • 46. FreshDirect’s Mission Build a World Class Fresh Foods Company Re-Think and Shorten the Current Food Retail Supply Chain from Source to Customer Build the World’s Most Personalized Food Shopping Experience © 2011 SAP AG. All rights reserved. 46 46
  • 47. Operationalizing Data Consumption FreshDirect Challenge: How do you empower the front-line agent or manager to confidently respond to the second or third degree excuse/question that a report can’t answer? Q. Why did you get a ticket? A. No, I didn’t. Q. If you didn’t, why did we pay it? A. The cop wrote it incorrectly Mgmt Action: Let’s take a look Solution: Build a management process that is supported by visual, map-based dashboards as a key component. © 2011 SAP AG. All rights reserved. 47 47
  • 48. Parking Ticket Challenge  Awareness & Tools: Communicate to drivers about how much FD pays in tickets  Exception Reporting: DW/BOBJ weekly/daily reports highlighting bottom performers for metric  Coaching and Management: Empower managers to own the conversation with drivers. Deploy map based dashboard. © 2011 SAP AG. All rights reserved. 48 48
  • 49. Parking Ticket Dashboard at FreshDirect © 2011 SAP AG. All rights reserved. 49
  • 50. Driving Directions Dashboard at FreshDirect © 2011 SAP AG. All rights reserved. 50
  • 51. Pervasive Location Analytics – SAP BusinessObjects Explorer iPad demo… SAP’s carbon footprint Explorer iPad demo © 2011 SAP AG. All rights reserved. 51
  • 52. Pervasive Location Analytics – SAP’s Visual Business Demo – “Taking your business Visual” © 2011 SAP AG. All rights reserved. 52
  • 53. 1. Big Data & Pervasive Nature of Location-Based Solutions 2. Location Aware Solutions from SAP 3. Demos From Centigon Solutions, Fresh Direct and SAP 4. Q&A © 2011 SAP AG. All rights reserved. 53
  • 54. Pervasive Location Analytics – Can I answer your questions? © 2011 SAP AG. All rights reserved. 54
  • 55. Pervasive Location Analytics – My contact information jitender.aswani@sap.com http://allthingsbusinessanalytics.blog spot.com/ #jaswani Thank you! © 2011 SAP AG. All rights reserved. 55
  • 56. Appendix © 2011 SAP AG. All rights reserved. 56
  • 57. © 2011 SAP AG. All rights reserved. 57
  • 58. © 2011 SAP AG. All rights reserved. 58
  • 59. © 2011 SAP AG. All rights reserved. 59
  • 60. Addressing travelling salesman’s business issues using SAP Sales OnDemand (if time permits)… Geo elements in Sales OnDemand © 2011 SAP AG. All rights reserved. 60
  • 61. Addressing logistics related challenges using SAP HANA and SAP BusinessObjects EventInsight… Logistics and addressing security threats iPad Demo © 2011 SAP AG. All rights reserved. 61