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Monetising Big Data - Visualisations

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  • 1. MONETISING BIG DATA VISUALISATIONS FOUR EMERGING BUSINESS MODELS
  • 2. REPORTBEE: VALUE-ADDED DATA
  • 3. Based on the results of the 20 lakh students taking the Class XII exams at Tamil Nadu over the last 3 years, it appears that the month you were born in can make a difference of as much as 120 marks out of 1,200. … and peaks for Sep-borns The marks shoot up for Aug borns 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 eligibility cutoff for age-class hockey is January 1. A boy who turns ten on January 2, then, could be playing alongside someone who doesn’t turn ten until the end of the year—and at that age, in preadolescence, a twelve-month gap in age represents an enormous difference in physical maturity.” -- Malcolm Gladwell, Outliers … and across districts, gender, subjects, and class X & XII.
  • 4. US BIRTHDAYS
  • 5. INDIAN BIRTHDAYS
  • 6. CROWDFLOWER: MARKET MAKER FOR ANALYSIS
  • 7. TEMPLATISED ANALYSIS FOR WEALTH MANAGEMENT
  • 8. CARGO DELAY ADD-ON THAT PROVIDES INSIGHTS A PRODUCT This visualisation is part of a suite of analytical techniques we call “grouped means” that allows us to measure the impact of every parameter (shifts, weekdays, etc.) on any measure of interest – recovery time in this case, but this could be extended to revenue, operational efficiency, or ability to cross-sell. This visualisation measures the recovery time (time from arrival of the flight until delivery), and identifies which factors most influence the recovery time. It allows automatically detection of statistically significant flows and highlights only relevant ones to users. The system therefore analyses all possible patterns, but users only see the insights that matter. Recovery times are neutral during the evening and morning shifts (mornings are slightly worse), night times are the best. Shift Evening Morning Specifically, Friday mornings are particularly bad. Night So are Thursday mornings. Recovery times are worst on Fridays, and best on Saturdays & Wednesdays. Weekday Fri Mon Sat Sun Thu Tue Wed However, RPP on Sundays is unusually slow. The FAH product category has the best recovery time, while ZDH is much worse. Product category FAH N70 RPP TDS ZDH This is especially problematic for ZDH Part shipped products tend to perform worse than full-shipments. Specifically the <20% and 40-60% part-shipments. Part shipment 20-40% 40-60% 60-80% <20% Full
  • 9. THE 4 EMERGING BUSINESS MODELS VALUE-ADDED DATA Take one or more sources of public data, mash them up, add analysis and visuals, and deliver the output as a product. REPORTBEE MARKET MAKERS Identify a skill gap in the data science ecosystem, and provide a platform to allow buyers to reach sellers. This could be for data (e.g. surveys, scraping), transformation (e.g. Hadoop processing), analysis, or visual. CROWDANALYTIX TEMPLATISED ANALYSES Create a series of analyses that are applicable to a wide range of domains and scenarios, and build a product that rapidly throws out these analyses when given the data. GRAMENER PRODUCT ADD-ONS Enhance existing products’ big data processing ability by integrating with a product / framework with designed with large scale data in mind. BIZOSYS
  • 10. A data analytics and visualisation company  s.anand@gramener.com  gramener.com  +91 9741 552 552 We handle terabyte-size data Gramener visualises your data via non-traditional analytics and visualise it in real-time. Gramener transforms your data into concise dashboards that make your business problem & solution visually obvious. We help you find insights quickly, based on cognitive research, and our visualisations guide you towards actionable decisions.