This document contains confidential information about AAUM and should not be shared with third parties. AAUM owns all confidential information contained in this document, regardless of the media. This document provides an overview of AAUM's capabilities in advanced analytics for power distribution, including offerings like cross-selling analytics, collection analytics, rewarding analytics, customer analytics, and metering analytics.

1. This document contains information and data that AAUM considers confidential. Any disclosure of Confidential
Information to, or use of it by a third party (i.e., a party other than Aaum, Saggezza), will be damaging to AAUM.
Ownership of all Confidential Information, no matter in what media it resides, remains with AAUM.
AAUM Confidential
Analytics for Power distribution

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Corporate profile
Founded by IIT Madras alumnus having extensive global business experience with Fortune 100
companies in United States and India having three lines of business
Prof Prakash Sai
Dr. Prakash Sai is professor at the Department
of Management Studies, Indian Institute of
Technology Madras. He has wealth of
international consulting experience in Strategy
Formulation
Puneet Gupta
Puneet spearheads the IFMR Mezzanine
Finance (Mezz Co.), is strengthening the
delivery of financial services to rural households
and urban poor by making investments in local
financial institutions.
Padma Shri Dr. Ashok Jhunjhunwala
Dr. Ashok Jhunjhunwala is Professor at the
Department of Electrical Engineering, Indian
Institute of Technology Madras India. He holds a
B.Tech degree from IIT, Kanpur, and M.S. and
Ph.D degrees from the University of Maine, USA.
Analytics
• Appropriate statistical models
through which clients can measure
and grow their business.
Competitive Intelligence
• Actionable insights to clients for
their business excellence
Livelihood
•Services ranging from promotion of
livelihoods, implementation services,
livelihood & feasibility studies.
 Key Focus Areas in Advanced analytics and Predictive analytics
 Product – geniSIGHTS (Analytics/BI), Ordo-ab-Chao (Social Media)
 More than 25 consulting assignments for Businesses & Govt orgs
 Partnership – Actuate, IIT Madras, TIE and 3 strategic partnerships
 Dedicated corporate office at IIT Madras Research park since 2009
Aaum’s office, IIT Madras Research Park

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Competencies in
Advanced analytics
Build appropriate statistical models through
which clients can measure and grow their
business.
Expertise in
• Digital Media
• Finance/Insurance
• Retail
• Entertainment
• Human Capital
• Government organizations
• Research & training
Competitive
assessment
Competitive intelligence
Provide actionable insights to clients for
their business excellence.
Expertise in
• Business Entry
• Business Expansion
• Market research
Livelihood
Perform livelihood services ranging from
promotion of livelihoods, implementation
services, livelihood and feasibility studies.
Expertise in
• Government
organizations
• Non Government
organizations
• Corporate with livelihood
focus
• Research

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AAUM’s capability in analytics stems from expertise to extract insights from data sources with the
ability to develop advanced models aided by actual understanding
Data sources
Business
Rules
formulation
Analytical
model development
Analytical Advantage Using Mathematical modeling
Secondary
research
Client
Primary
research
Census
Research
firms
Statistical Tools
R (Statistical
System)
WEKA (Machine
learning software)
SPSS (Multivariate
Statistical Analysis)
SAS (Data mining,
Statistical, and
Econometric
modeling)
Analytical Advantage
Profiling &
Segmentation
Product
/Process
performance
Product
/process
innovation
Valuation,
Loyalty & life
time
Market Intelligence | Finance | Retail | Telecom | Supply Chain |Utility | Consulting
Client

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Our analytical offerings for power distribution includes
Cross and up
selling Analytics
Collection
Analytics
Rewarding
Analytics
Customer
Analytics
Metering Analytics
Complaints
Analytics
Click the above offerings to know more about the methodologies, benefits and the requirements

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Questions/Feedback?
Contact us
01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113
Tel :` +91 44 66469877, Fax:+91 44 66469877
Email: info@aaumanalytics.com, Skype:b.rajeshkumar
Twitter: AaumAnalytics, Web: www.aaumanalytics.com
Facebook: http://www.facebook.com/AaumAnalytics
LinkedIn: http://www.linkedin.com/company/aaum-research-and-analytics-iit-madras
Aaum’s office at IIT Madras Research Park
About Aaum
Aaum Research and Analytics founded by IIT Madras alumnus brings
in extensive global business experience working with Fortune 100
companies in North America and Asia Pacific. Incubated at IIT Madras
Incubator ecosystem with a focus on researching and devising the
sophisticated analytical techniques to solve the pressing business
needs of corporations ranging from travel & logistics, finance,
insurance, HR, Health Care, Entertainment, FMCGs, retail, Telecom.
“Organizations are competing on analytics not just
because they can- but because they should…”

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Cross selling / up selling
Description • An effective method to manage a growing customer base is the ability to under-
stand the increasing needs of customers through past interactions with them.
Benefits • Increase customer loyalty by offering them appropriate service
• Increase revenue from existing customer bafse
Methodologies • Cross/Up Sell Model Data mart.
Data required
• Customer data, Contract data, Account data
• Services, Plan data ..

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Complaints Analytics
Description • Customer Complaints Analytics (CCA) Platform is a turnkey solution that identifies
the root cause of the customer complaints and predicts the future trends.
Benefits
• Identifying the critical pain areas of the customers in various target segments,
resolution of which reduces expenditure on customer care, reduces customer churn
and increases customer satisfaction and loyalty.
• •Monitoring customer care executives’/agency’s performance & tracking resolution
time.
• Identifying the root cause of the customer complaints.
Methodologies
• Granularly segregating the complaints data on a common taxonomy, based on a
standard lexicon of definitions of terminology and types of complaints.
• Qualifying the raw data in more granular terms by adding parameters like severity
of problem, periodicity of occurrence, type of fault detected etc
• Run statistical analysis across parameters and derive intelligent insights from the
data either as predictive or/and behavior model or/and segment the data into
intelligent patterns
• Automatically identify new issues in the field and flag higher-than-normal rate faults
and notify the business users about the problem that needs investigating.
Data required
• Customer care complaints database.
• Complaints on the water database

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Collection analytics
Description • Analyze the credit history and behavior patterns of various customer segments as
well as the performance of various collection agencies/methods
Benefits • Determining which collection agencies, collection techniques are suitable for what
customer segments.
Methodologies • Collection model data mart
Data required • Customer, Contract, Account, Services, Plan data, Past payments

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Customer Analytics
Description • Customer analytics solutions provides a framework to understand customers better
Benefits • Classification of customers under groups of individuals that are similar in specific
ways viz, spending habits, interests, age, gender, demographic patterns etc.
Methodologies
• Customer Segmentation for Trend Monitoring and Forecasting
• Customer segmentation using decision tree
• Marketing Response Analysis with Gains & Profit Charts
Data required
• Geographic variables
• Psychographic segmentation variables
• Behavioral segmentation variables

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Rewards
Description • Rewarding analytics solutions helps the firm to chalk out appropriate
incentives/penalties
Benefits • Identify customers conserving power and rewarding with attractive offers.
• Penalize customers that utilizes power beyond their allotted quota
Methodologies • In order to better analyze the performance, the firm needs to ensure appropriate
data gathering, analyzing and robust tracking of the customer performance
Data required
• Customer database, metering database, past payment

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Metering Analytics
Description
• Analytics on the consumer metering data allows the firm to have a better
understanding of their power consumption, detailed consumption patterns and plan
more accurately for their power needs.
Benefits • Metering analytics will benefit the entire energy supply chain, including energy
retailers, distributors and generators.
Methodologies • In order to better analyze the performance, the firm needs to ensure appropriate
data gathering, analyzing and robust tracking of the metering data across various
customer segments
Data required
• Customer database, Metering database