Monetising Big Data - Visualisations
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MONETISING BIG DATA
VISUALISATIONS FOUR EMERGING BUSINESS MODELS
REPORTBEE: VALUE-ADDED DATA
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.
June borns score the
lowest
The marks shoot up for Aug borns
… and peaks for Sep-borns
120 marks out of 1200 explainable
by month of birth
An identical pattern was observed in 2009 and 2010…
… and across districts, gender, subjects, and class X & XII.
“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
US BIRTHDAYS
INDIAN BIRTHDAYS
CROWDFLOWER: MARKET MAKER FOR ANALYSIS
TEMPLATISED ANALYSIS FOR WEALTH MANAGEMENT
Shift Evening Morning Night
Weekday Fri Mon Sat Sun Thu Tue Wed
Product category FAH N70 RPP TDS ZDH
Part shipment 20-40% 40-60% 60-80% <20% Full
CARGO DELAYThis visualisation measures the recovery time (time from arrival of the flight until delivery), and identifies which factors most influence the recovery time.
Recovery times are neutral during the evening and morning shifts (mornings are slightly worse), night times are the best.
Recovery times are worst on Fridays, and best on Saturdays & Wednesdays.
Specifically, Friday mornings are particularly bad. So are Thursday mornings.
The FAH product category has the best recovery time, while ZDH is much worse.
However, RPP on Sundays is unusually slow.
Part shipped products tend to perform worse than full-shipments. Specifically the <20% and 40-60% part-shipments.
This is especially problematic for ZDH
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.
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.
A PRODUCT ADD-ON THAT PROVIDES INSIGHTS
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
[email protected] gramener.com
+91 9741 552 552
We handle terabyte-size data
via non-traditional analytics and visualise it in real-time.
Gramener visualises your data
Gramener transforms your data into concise dashboardsthat 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.
A data analytics and visualisation company