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S AnandVISUALISING DATA
GramenerA data analytics and visualisation companyWe handle terabyte-size data   via non-traditional analytics and visuali...
WHY VISUALISE?Consider an Organizational          2010       Bangalore      Delhi       Hyderabad       MumbaiSales report...
BECAUSE NUMBERS DON’T TELL THE FULL STORYPlotting the same datashows markedly differentbehaviour.Bangalore    sales      h...
DETECTING FRAUD                 “                     We know meter readings are                     incorrect, for variou...
This plot shows the frequency of all meter readings from  Why would                                                    Apr...
MONITORING COSTS           “               Our raw material cost varies               considerably across farms, though   ...
PREDICTING MARKS            What determines a child’s marks?            Do girls score better than boys?            Does t...
… and peaksBased on the results of the 20 lakh                                      for Sep-bornsstudents taking the Class...
SECURITIES   FINDING PATTERNS             Which securities move together?             How should I diversify?             ...
68% correlation              between AUD & EURPlot of 6 month daily AUD - EUR values                    … that move       ...
VISUALISING CHANGE            What was the weather in India like…EDUCATION WEATHER     THE LAST 100 YEARS?
VIDEOhttp://youtu.be/WT0Aq41BaOQ
www.gramener.comblog.gramener.com
Visualising Data: ISB Solstice 2011
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Visualising Data: ISB Solstice 2011

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Presented at Solstice 2011 (http://www.isb.edu/solstice/) at ISB on 16 December 2011 as part of Prof. Galit Shmueli's workshop on Visual Analytics (http://www.isb.edu/VisualAnalytics/)

Published in: Education, Technology, Business
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Transcript of "Visualising Data: ISB Solstice 2011"

  1. 1. S AnandVISUALISING DATA
  2. 2. GramenerA data analytics and visualisation companyWe handle terabyte-size data via non-traditional analytics and visualise it in real-time. Gramener visualises Gramener transforms your data into concise dashboards that make your business problem & solution visually obvious. your data We help you find insights quickly, based on cognitive research, and our visualisations guide you towards actionable decisions.
  3. 3. WHY VISUALISE?Consider an Organizational 2010 Bangalore Delhi Hyderabad MumbaiSales report shown alongside Month Price Sales Price Sales Price Sales Price Sales Jan 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58It shows performance of 4 Feb 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76branches with average priceand sales across 4 cities Mar 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 Apr 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84Each of the branches change May 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47prices every month with a Jun 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04corresponding change in the Jul 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25sales value Aug 4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50Basic analytics of these Sep 12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56numbers reveal consistent Oct 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91performance across 4 Nov 5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89branches. Average 9.0 7.50 9.0 7.50 9.0 7.50 9.0 7.50Further, these sales figures Variance 10.0 3.75 10.0 3.75 10.0 3.75 10.0 3.75have a consistent Correlationand Linear regression across allcities
  4. 4. BECAUSE NUMBERS DON’T TELL THE FULL STORYPlotting the same datashows markedly differentbehaviour.Bangalore sales hasgenerally increased withprice.Hyderabad has a perfectincrease in sales with price,except for one aberration.Delhi, however, shows adecline in sales as price isincreased beyond a certainpoint.Mumbai sales fluctuated alot despite a constant price,except for one month.
  5. 5. DETECTING FRAUD “ We know meter readings are incorrect, for various reasons. We don’t, however, have the concrete proof we need to start the process of meter readingENERGY UTILITY automation. Part of our problem is the volume of data that needs to be analysed. The other is the inexperience in tools or analyses to identify such patterns.
  6. 6. This plot shows the frequency of all meter readings from Why would Apr-2010 to Mar-2011. An unusually large number ofthese happen? readings are aligned with the tariff slab boundaries.This clearly shows Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11collusion of some form 217 219 200 200 200 200 200 200 200 350 200 200with the customers. 250 200 200 200 201 200 200 200 250 200 200 150 250 150 150 200 200 200 200 200 200 200 200 150This happens with specific 150 200 200 200 200 200 200 200 200 200 200 50customers, not randomly. 200 200 200 150 180 150 50 100 50 70 100 100Here are such customers’ 100 100 100 100 100 100 100 100 100 100 110 100 100 150 123 123 50 100 50 100 100 100 100 100meter readings. 0 111 100 100 100 100 100 100 100 100 50 50 0 100 27 100 50 100 100 100 100 100 70 100If we define the “extent of 1 1 1 100 99 50 100 100 100 100 100 100fraud” as the percentageexcess of the 100 unitmeter reading, Section Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11the value varies Section 1 70% 97% 136% 65% 110% 116% 121% 107% 114% 88% 74% 109%considerably Section 2 66% 92% New section 66% 87% 70% 64% is … and 63% 50% 58% 38% 41% 54% manager arrives transferred50% outacross sections, Section 3 90% 46% 47% 43% 28% 31% 32% 19% 38% 8% 34% Section 4 44% 24% 36% 39% 21% 18% 24% 49% 56% 44% 31% 14%and time Section 5 4% 63% -27% 20% 41% 82% 26% 34% 43% 2% 37% 15% Section 6 18% 23% 30% 21% 28% 33% 39% 41% 39% 18% 0% 33%… with some Section 7 36% 51% 33% 33% 27% 35% 10% 39% 12% 5% 15% 14%explainable Section 8 22% 21% 28% 12% 24% 27% 10% 31% 13% 11% 22% 17%anamolies. Section 9 19% 35% 14% 9% 16% 32% 37% 12% 9% 5% -3% 11%
  7. 7. MONITORING COSTS “ Our raw material cost varies considerably across farms, though we share best practices. We have over 5,000 farms. TheCONTRACT raw material cost report is a 75- page Excel report that no one FARMING reads. Also, we gain no insights as to how the productivity changes over time
  8. 8. PREDICTING MARKS What determines a child’s marks? Do girls score better than boys? Does the choice of subject matter?EDUCATION Does the medium of instruction matter? Does community or religion matter? Does their birthday matter? Does the first letter of their name matter?
  9. 9. … and peaksBased on the results of the 20 lakh for Sep-bornsstudents taking the Class XII exams The marksat Tamil Nadu over the last 3 years, shoot up for Aug bornsit appears that the month you wereborn in can make a difference of asmuch as 120 marks out of 1,200. 120 marks out of 1200 explainable by month of birth June borns score the lowest An identical pattern was observed in 2009 and 2010…“It’s simply that in Canada the eligibilitycutoff for age-class hockey is January 1. Aboy who turns ten on January 2, then,could be playing alongside someone whodoesn’t turn ten until the end of the year—and at that age, in preadolescence, atwelve-month gap in age represents anenormous difference in physical maturity.” -- Malcolm Gladwell, Outliers … and across districts, gender, subjects, and class X & XII.
  10. 10. SECURITIES FINDING PATTERNS Which securities move together? How should I diversify? What should I sell to reduce risk? What’s a reliable predictor of a security?
  11. 11. 68% correlation between AUD & EURPlot of 6 month daily AUD - EUR values … that move counter-cyclically to indices Block of correlated currencies … clustered hierarchically
  12. 12. VISUALISING CHANGE What was the weather in India like…EDUCATION WEATHER THE LAST 100 YEARS?
  13. 13. VIDEOhttp://youtu.be/WT0Aq41BaOQ
  14. 14. www.gramener.comblog.gramener.com
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