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This document contains information and data that AAUM considers confidential. Any disclosure of Confidential Information to, or use of
it by any other party (i.e., a party other than Aaum), will be damaging to AAUM. Ownership of all Confidential Information, no matter in
what media it resides, remains with AAUM.
AAUM Confidential
AAUM Research and Analytics Private Limited 01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113
Tel +91 44 66469877 | Fax +91 44 66469877 Email: [email protected] | Web www.aaumanalytics.com
Affordable, customizable, scalable & insightful BI/advanced analytics solutions for your business
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Extended arm of customers to identify right metrics to solve their pain areas
Services mature from basic reporting to advanced analytics initiatives
accomplished exclusively for retail/eTail domain
http://genisights.com/retail/
http://genisights.com/ecommerce/
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Case illustration # 1 Exploring cross sell/ up sell opportunities through “Market
Basket Analysis”
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Demo
Case illustration # 1 Exploring cross sell/ up sell opportunities through “Market
Basket Analysis”
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Case illustration # 2 Enhanced loyalty through “Customer Segmentation”
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Demo
Case illustration # 2 Enhanced loyalty through “Customer Segmentation”
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Demo
Case illustration # 3 “Unstructured data analysis” on social media/Org data
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Demo
Case illustration # 3 “Unstructured data analysis” on social media/Org data
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Case illustration # 4 “Attrition Prediction” to prevent customers from churning
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Demo
Case illustration # 4 “Attrition Prediction” to prevent customers from churning
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Case illustration # 5 Effective production strategies through “Sales Forecasting”
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Demo
Case illustration # 5 Effective production strategies through “Sales Forecasting”
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Case illustration # 6 “Cohort analysis” to measure engagement effectiveness
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Demo
Case illustration # 6 “Cohort analysis” to measure engagement effectiveness
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Case illustration # 7 “loyalSIGHT” – A 360o view of my customer base and the
marketing strategies needed to revive them
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Demo
Case illustration # 7 “loyalSIGHT” – A 360o view of my customer base and the
marketing strategies needed to revive them
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Case illustration # 8 Dynamic Pricing” to maximize revenue from ticket sales
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Problem Statement: • How can I analyze my web traffic data? • On what days and time slots do I experience
maximum traffic on my website?
Data required
Web traffic data on sites and campaigns
Case illustration # 9 ”Heat Maps” to visualize web traffic
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Demo
Case illustration # 9 ”Heat Maps” to visualize web traffic
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Data required
Clickstream data
Cookie data on attributes if captured
Problem Statement: • How can we identify which touch point is more
dearer to me in contributing to conversions? • How can I calculate my channel contributions to
conversions to channelize my yield effectively?
Case illustration #10 Better assignment of credit to marketing channels through
“Attribution Modelling”
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Demo
Case illustration #10 Better assignment of credit to marketing channels through
“Attribution Modelling”
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Problem Statement: • How do we decompose the sales to key drivers
like Price, Competition, Market channels such as TV, Press, Internet, etc to understand their combination to sales?
• How do we calculate the efficiency or ROI from these market channels?
Data required:
Past sales data
Past market channel data
Case illustration #11 “Market Mix Modelling” to track ROI from marketing
channels on sales
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Sales = Base_sales x Incremental_Sales1 x
Incremental_Sales2 x…x Random_effect
Demo
Case illustration #11 “Market Mix Modelling” to track ROI from marketing
channels on sales
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Data required
Web traffic data on sites and campaigns
Problem Statement: • Would marginal improvements/changes in my
marketing strategy or on campaigns/site layouts, images, colors, text, etc bring in significant improvements on my yield?
• How can I calculate my channel contributions to
conversions to channelize my yield effectively?
Case illustration #12 “AB Testing” to evaluate the most preferred campaigns
and sites
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Demo
Case illustration #12 “AB Testing” to evaluate the most preferred campaigns
and sites
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Problem Statement: • Are my marketing campaigns targeted to the
right customers? • Which of the customers would respond
positively to my market campaigns?
Data required:
Marketing channel transactions data
Demographic, Psychographic data
Case illustration #13 “Uplift modelling to predict the “persuadables” for your
marketing channels
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The Persuadable: customers who only respond only because they were targeted
The Sure Things: customers who would have responded whether they were
targeted or not
The Lost Causes: customers who will not respond irrespective of whether or not
they are targeted
The Sleeping Dogs: customers who are less likely to respond because they were
targeted
Demo
Case illustration #13 “Uplift modelling to predict the “persuadables” for your
marketing channels
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Problem Statement: • A media company wants to allocate campaign ads
so that the clicks are maximized. The company has different sites to which it can allocate impressions. How much of impressions should be distributed among these sites so that the clicks for the campaign is maximized?
Data required
Past transaction data
Case illustration #14 “Optimization” for efficient allocation of impressions across sites
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Demo
Case illustration #14 “Optimization” for efficient allocation of impressions across sites
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Problem Statement: • How well do my campaigns perform across sites
over time? • Can I compare the performance of my campaign
with that of the industry performance? • How do I evaluate if my campaigns appeal well to
my audience?
Data required
Past transaction data
Case illustration #15 “Campaign/Publisher scoring” to focus on campaigns
generating the most pipeline, revenue and return at a glance
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Demo
Case illustration #15 “Campaign/Publisher scoring” to focus on campaigns
generating the most pipeline, revenue and return at a glance
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1 Follow up discussions
2 Identifying requirements
3 Business collaborations
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geniSIGHTS
Scalable big data advanced analytics solution INDUSTRIES •Retail •Travel •Finance •Insurance •Ecommerce •Telecom •HR •Health care • FMCGs •Entertainment LINES OF BUSINESS •Analytics consulting •Analytics Research HIGHLIGHTS Predictive analytics Big data platform Cloud-based BI/Reporting
Live link • www.genisights.com/
Contact
Request for demo specific to your business
Mail [email protected]
Call 8754577385/6/7/8/9
www.aaumanalytics.com
rapid data mining
& advanced analytics
• geniSIGHTS is very affordable and customizable platform that helps the business scale analytics as per their requirements.
• Precanned advanced analytics solutions that fit common business needs
• Provisions to build and integrate specific analytical solution for your firm
• geniSIGHTS is offered in three modes • Reporting – basic customer needs like
reporting • Analytics – intermediate requirements
like reporting, data analysis • Analytics + – advanced analytics like
prediction, big data analytics, etc
• Can be quickly deployed and scaled in premise and (or) cloud
geniSIGHTS – big data advanced analytics platform by Aaum
COMPANY Founded by IIT Madras alumnus brings in extensive global business experience working with Fortune 100 companies in North America & Asia Pacific. Established at IIT Madras Research Park with a focus on researching and devising sophisticated analytical techniques to solve pressing business needs of corporations ranging from travel & logistics, finance, insurance, hr, health care, entertainment, FMCGs, retail, telecom.
improved business
performance
lowers costs for businesses