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Contents
Analytics Market:
Questions our
customers have asked
us
Market Evolution: Business
Intelligence, Analytics, Big
Data
Our Credentials:
Analytics Samples from our
Work
Enterprise Analytics
Applications
About Us: Robust Designs
Analytics Market:Questions From our Current Customers
Analytics Market:
Questions our customers
have asked us
Telecom: Consumer Marketing
• Tell me about my customers’ behaviours• Who is moving out• Who is moving in• Who is spending on what• What can I cross sell
• Tell me what can I offer them• Based on what others who are
similar have bought
• Micro segment and create personalized offer for a marketing campaign• Track the campaign and learn and
refine
• How do I find out who are the distributors who are loyal to me• Design a loyalty management programme which is more likely to be
successful
• Which collection cases should I target today• What is the strategy for each case:• Should I write a letter, call• What figure I should settle for
Financial Services: Sales, Loyalty, Collections
Healthcare
Medical• Show me how dengue fever is
spreading in a city• And predict how it is likely to
spread
• What are the chances of readmission given history of a patient and treatment received
Financial• Predict billing trends by DRG• Predict likely defaulters
Retail / Manufacturing
• What stocks make best basket of things to carry in my showroom
• Which stocks I should carry how much keeping in mind the order trends
Data Evolution
You asked questions,
IT gave you
answers
You discovered answers
by yourself
Big data gives you answers –
any questions
?
Core system reports
Business
Intelligence
Distributed
Computing +
Statistics
Enablers
Data Evolution
Large scale computing power is available now for big data to have a justifiable ROI
What’s Changing
Business Intelligence• Analysis is top down, done by
humans• Identifying root causes for
behavior and variance to set goals is a main target• Action addresses the root causes
identified
Big Data / Analytics• Analysis is bottom up, done by
machines• Identifying root causes is considered
not necessary• Deriving consumer behavior, patterns
is paramount
• Action is not based on cause – effect• Action is based on patterns and on the
entire population - using Micro-segmentation, Personalization
Descriptive to Prescriptive Analytics
• Track, Segment, Recommend Action
Customer Delight
-----Prescriptive
• Business KPIs, Insights, Analytics
Better Business
----Predictive, Diagnostic
• Dashboards, Reports, Data
Efficient Operations
----Descriptive
• Identify clusters based on some variables
Correlation
• Predict behaviour of this set at a future point in time
Prediction
• Suggest best actions to meet a desirable outcome
Prescription
AnalyticsModel
Big Data
Is Big Data About Largeness of Data?• Not necessarily
• And it is not just about Twitter, Facebook posts• But big data scales linearly, and can work with large data sets
not handled before by conventional technology like databases and data warehouses
• Big data is deployed where there is big money at stake, regardless of the size of the data• E.g., an asset management company managing assets of
thousands of high net worth individuals can take advantage of big data as much as a telecom company with millions of consumers
• Big data applications are relevant for small businesses too, but • the cost of big data has not yet come down to that price
point, and • the expertise to apply the technology and into a domain is
scarce
What is Big Data?• It is about the ability to
• take in all the data in your context, • being able to process it fast enough for your
business, • apply statistics, and • generate so many graphs that no human can read
them all in reasonable time, let alone analyze
• But big data machines analyze them, come up with correlations, predict behaviors
• To the point of knowing if this customer is going to churn, if this product offer is going to be successful with what degree of certainty, and if the lady walking around your store is pregnant
Experience - Analytics with R
Understand Data Enhanced Data VisualizationsQuantile Based Estimates, Distribution & Probability PlotsDerived Variables Custom Aesthetics
Group ‘things’Clustering
Find SimilaritiesAssociation Analysis
Interactive Association Rule Mining
Mining for RHS & LHS Relationships (After vs Before)
Plotting Associations
Recommend Next Best Recommendation Engine Item Based Collaboration Filtering (Based on Product Similarity) - Generating Top x recommendations based on a Consumption Frequency Count Table
ForecastTime Series Analysis Forecasting via Holt-Winters, adjusting for Seasonal Trends, Arima
Social Data Mining Text Analytics & Connecting to Social DataPlotting Text Data in Wordclouds using various source formats (plain text, pdf, XML)
Getting Associations between Text Data
Connecting & searching Twitter Public Data
Recommendations: Item Based Collaborative Filtering: based on Product Similarity [Cosine Rule Method]
Customer Service
Business Question Analytics Suggestions
Are my customers who get in touch with the company happy? What kind of feedback is received, how has this changed over time, and what is likely to be expected in the future?
Sentiment analysis:Text Analytics & Visualization
Logistic regression forecasting, Hypothesis testing, Conditional probability employing methods
What changes to customer service have impacted customer satisfaction the most?
Correlation Analysis: Predictor vs response variable testing
Which customers are most valuable – and are these customers being served appropriately?
Auto clustering Customer lifetime value through weighted scoring
Where do new customers come from? Can we offer better services with less hassle for customers?
Location analysis, clustering
Operations
Business Question Analytics Suggestions
What activities are most profitable? Pattern Identification through Data Mining
Are resources being maximized? How can I get more out of my current resources (e.g. reduce system downtimes, improve service efficiencies)?
Pattern Identification through Data Mining
Can I make an improvement to logistics/ supply chain processes?
Pattern Identification through Data Mining
FinanceBusiness Question Analytics Suggestions
What are the revenue and cost projections for next year?
Forecasting Methods: Seasonal Adjustment Forecasting(Holt-Winters), ARIMA, Linear Regression
Which (groups of) customers are likely to default payment?
Logistic regression & response modelling
What is the revenue breakdown? Quantile based estimates, box & whisker plots
How can I cut finance approval times ? What items (are likely to) take the longest for approval?
Pattern Identification and Data Mining Conditional probabilistic estimates
Requests approvals vs rejected statistics, breakdown
Better Visualizations
Marketing/SalesBusiness Question Analytics Suggestions
What are my sales forecasts for 2015? Forecasting Methods: Seasonal Adjustment Forecasting(Holt-Winters), ARIMA, Linear Regression
What are our customer segments? Auto- Clustering Derived variables/segments through weighted scoring
What is the distribution of my annual sales (or numerical data) by price of item? What prices command the greatest proportion of sales?
Quantile based diagramsBox & Whisker Plots
What are the unusual trends in my data (customers, employees, sales, dates…)? Where are the exceptions and how can we explain these?
Outlier analysis :Quantile based (wrt Interquartile range), Confidence Interval based (beyond 95% CI), Distribution (2 SDs)
What are the influencers for sales? Correlation Analysis: Predictor vs Response Variable Testing
Will this type of product pricing work for this category of brand? Forecasting Methods (see first row), Hypothesis Testing, Logistic Regression
What are customers saying about my company /brands on social media? Social media connection (Twitter, Facebook), Sentiment/Text Analytics, Hashtag/keyword searches, Likes/Comments/Shares statistics
Strategy/PlanningBusiness Question Analytics Suggestions
Where should I invest more capital next year? ROI estimation & complete summary statistics based on departmental statistics Weighted scoring & sales forecast estimates
What kind of people should I be hiring? Scoring of employees, department performance statistics & activity profitability estimates
What can improve the company’s brand? Social media, CRM, Internal e-mail & chat text analytics
Where are the gaps in operational efficiency? Downtime statistics, resource utilization %, time-related patterns
How can I maximize company profitability? Pattern Identification through Data Mining
Robust Designs and CUBOT
is a software company specializing in BI solutions• Operational since 2004• Privately held• Offices: Singapore, Mumbai,
Bangalore• 15 people
is our BI product with over 40 customers in India, Singapore, Malaysia, Singapore, Vietnam & Netherlands• Developed with the vision: • Faster to Implement, Simpler to
use
Experience with BI over the YearsIndia, Singapore, Malaysia, Vietnam, Netherlands
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
PAS
TC
UR
REN
T
Stayed 4-6 years
Stayed 2-4 years
Stayed 1-2 years
PAST CUSTOMERS
APAC
IND
IAPA
ST
CU
RR
EN
T