The document outlines a session on 'Warranty Predictive Analytics Solution' hosted by Tech Mahindra, highlighting lean analytics to simplify, optimize, and accelerate after-sales services. Key topics include leveraging predictive models for warranty cost forecasting, benefits of a shared analytics platform, and the importance of timely insights for automobile manufacturers facing rising warranty claims. The presentation concludes with a Q&A session and contact information for further inquiries.

1. Krishnan Jayaraman
Principal Consultant
Tech Mahindra
John Hardigree
Chief BDO
Revolution Analytics
Welcometo the session!
Experience the ease of an efficient AFTER SALES with
‘Warranty Predictive Analytics solution’
Moderator: Kannan Marghasahayam
Principal Consultant; TechMahindra

2. Agenda
Speaker Designation Agenda
Krishnan Jayaraman
Principal Consultant
Tech Mahindra
• Tech Mahindra’s lean Analytics Platform
• Warranty Analytics Solution Overview
John Hardigree Chief BDO
Revolution Analytics
• Revolution Analytics
• Warranty & Sensor Data Analysis Overview
Expert interaction – Q&A session

3. Lean Analytics- Simplify, Optimize,
Accelerate
 Simplify
• Common Storage Infrastructure
A Superior Way to Unlock Value from your Data - In a Box!
Business Insights
Business
Recommendations
Predictive Models
Analytics as a Service
Intellectual Property
• Analytics Platform
• Business Frameworks
• Data Management Platform
Shared Services
• Domain Experts
• Data Scientists
• Data Specialists
Storage Infrastructure
Authoring/Development Platform
 Optimize
• Shared Services
 Self Service
• Development Platform
 Accelerate
• Frameworks & IP

4. • People-centric model
• Data / Analytics-led approach
• Domain-specific or Project-specific methodology
• Capex. lead times and costs
• Pricing model based on Time and Material (T&M)
• 100% transfer of delivery/business risks to clients
Traditional
• Value-centric model
• IP and Consulting-led approach
• Cross-Domain and Best Practices methodology
• Opex. and business outcome based model
• Pricing model based on Value Realization and Proof of
Value Delivery (POVs).
• Minimal transfer of delivery/business risks
Lean
Lean is Better !

5. Accelerated Value Delivery
More than 50%reductionin time to delivery analytics services
Traditional Analytics Delivery Approach
Engage with
Business for
Hypothesis
Define the
KPIs from
multiple client
meetings
Validate the
KPIs and
finalize the
list
Seek data
and transform
as per KPIs
Model creation w ith
KPIs and refine
based on business
understanding
Show the output of
model and seek
business feedback
Business value
realized post
solution
deployment
TechM’s Lean Analytics Approach
Engage w ith business
to tick the predefined
KPIs from the
framew ork
Seek the
available data
points from client
Model creation and review
the output simultaneously
w ith the business for
validation and refinement
Deliver reports
and
dashboards
Business value
delivered immediately
after business GO
Our Value proposition
Lean Analytics can significantly reduce the time to delivery and
Business Risk

6. Detail Reference Architecture

7. Key benefits of Lean Analytics to Business Value Delivery
Accelerate Analytics Value
Potential acceleration through
analytics framework
standardization
Head start with built in business
KPIs Framework and Industry
Domain Use Cases
Reduced time to market by 50%
Optimize workload for Data
Scientists
Reuse Analytics Assets
Reuse existing knowledge base (Assets
– KPIs) for newuse case creation
Reuse existing use cases for faster time
to delivery and optimization
Leverage internal asset base created
within the organization over a period of
time
Single point Analytical Model
Repository
Analytics Governance
Single point Analytics KPI repository
End-to-End business users’ control on
analytics delivery
Traceability of legacy use case
deployment
Standardization of predictive analytical
model building initiatives
Focus on core skills: Business Insights
and Analysis
Lean Analytics: Simplify, Optimize,Accelerate Analytics Value Delivery

8. Tech Mahindra- Lean Analytics Platform

9. Tech Mahindra - Lean Analytics Platform

10. Business Solution
 Proactively identifies systematic
error patterns and their
dependencies, hence enabling to
reduce failure.
 Enabling the finance department to
estimate the future cost of
warranty claims, so to proactively
arrange warranty reserve fund.
 Helps to identify optimal warranty
term based on cost, improving
terms and conditions for supplier,
manufacturer and customers.
 Helps organizations to plan their
inventory of spare parts & labor
required accordingly.
 The claim rates of each month are taken as time
series data, considering Trend, Seasonality,
Cyclicity and some irregularity, data also includes
parameters like labor hours spent, parts used,
operations performed
 Modeling Technique : Multiple forecasting models
have been built using Arimax (Auto Regressive
Integrated Moving Average with External Variables)
& linear Regression
 Solution not only predicts the future claim cost but
also provide multiple forecast at various dimensions
like the number of vehicles to come for claim in
future in different vehicle categories, under different
claim types
Problem Statement Business BenefitsSolution Developed
Warranty Forecasting Analytics
Data Preparation
Seasonality and Cyclicality Analysis
Predictive Analysis
Time Series Data Analytical Engine Final Outcome analysis & dashboards
Forecasting
 Warranty claim cost are becoming one
of the major factor of concern for the
automobile companies due to higher
cost involved & increasingly more
incidents of consumer coming for
claims under warranty.
 The automobile manufacturers need a
predictive analytics platform to know
more about future scenarios about the
claims cost so as to plan their fiscal
year budgets & take pro-active actions
accordingly.
 The solution predicts the warranty cost
for different dimensions like warranty
cost for a region & vehicle models.

12. 12
OUR COMPANY
The leading provider
of advanced analytics
software and services
based on open source R,
since 2007
OUR PRODUCT
REVOLUTION R: The
enterprise-grade predictive
analytics application platform
based on the R language
SOME KUDOS
Visionary
Gartner Magic Quadrant
for Advanced Analytics
Platforms, 2014

13. 13
Game Changing Analytics Examples
 Marketing: Clickstream& Campaign Analyses
 Digital Media: Recommendation Engines
 Social Media: Sentiment Analysis
 Retail: Purchase Prediction
 Insurance: Fraud Waste and Abuse
 Healthcare Delivery: Treatment Outcome Prediction
 Risk Analysis: Insurance Underwriting
 Manufacturing: Predictive Maintenance
 Operations: Supply Chain Optimization
 Econometrics: Market Prediction
 Marketing: Mix and Price Optimization
 Life Sciences: Pharmacogenetics
 Transportation: Asset Utilization

14. Model Development for Vehicle Data Analysis
Profile: TheAnalytics R&D team of the multinationalautomobile
manufacturerworked with RevolutionAnalytics Consultants to
perform Survival Analysis, and to buildand deploy DecisionTrees
and TimeSeriesmodels
Key Technologyand Services:Revolution R Enterprise for
Big Data Analytics, Consulting, Training
AnalyticApproach –WarrantyDataAnalysis: Estimating
the life of an automobilecomponentusingSurvival Analysis
with Cox proportionalhazards. Modelsare trained using
historicaldata, consistingof warranty claims,and regionand
weather related variables suchsnow, rain, temperature etc.
Outcome: New analytics paradigm for existing processes
introduced,with potential for millionsof dollars in cost
savings through improved warranty contracts, and re-
designedautomobilecomponents.
>Warranty & Sensor Data Analysis
>R/Revolution R Enterprise Training
AnalyticApproach –SensorDataAnalysis: Use sensor data
from vehicle componentsto build DecisionTreesfor classification,
and to establish range of predictedvalues for sensor readingsso
that actualreadings canbe analyzed for outliers.
Bottomline: New analytics initiative for buildingan intelligent
automobilesystem that’s capableof guidingthe driver upon
detectionof anomaliesin driving patterns.
“Theconsultantsand training instructorsfrom Revolution
Analyticswere very knowledgeableand supported mevery
well.I am lookingforward to taking mylearningsto the larger
analyticsteam at mycompany.” SeniorResearcher,Analytics
R&D

15. Lean Analytics Platform
Sample Screen Shots

16. Potential Impacts
Improved warranty cost accuracy

17. Potential Impacts
RCA analysis for significant contributors

18. Potential Impacts
Reduction in significant warranty cost.

19. Potential Impacts
Defect patterns and dependencies.

20. Potential Impacts
Reduce failures and improve customer satisfaction.

21. Potential Impacts
Improve process efficiency.

22. Q & A
session
For Demo, Please send request to:
• Pitchcommunications@techmahindra.com
• Johnhard@microsoft.com
• Krishnan.Jayaraman@TechMahindra.com