geniSIGHTS offerings on retail/etail

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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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geniSIGHTS, our advanced analytics solution's offerings for Retail/etail

Transcript of geniSIGHTS offerings on retail/etail

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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 Limited01 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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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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Company Description

Value Proposition

Use Case studies

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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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.

Analytics

Competitive

assessment

Competitive Intelligence Livelihood

Appropriate statistical models

through which clients can measure

and grow their business.

Actionable insights to clients for their

business excellence

Services ranging from promotion of

livelihoods, implementation services,

livelihood & feasibility studies.

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is an entrepreneur with robust experience in quantitative & qualitative data analysis,

business intelligence, project management and IT process consulting working for several clients in Finance,

Information Technology, Marketing and Operations domain. Rajesh holds rich consulting experience with

Fortune 100 organizations. He has B.Tech in Mechanical Engineering from IIT Madras and MBA from IIT

Kanpur.

is professor at the Department of Management Studies, Indian Institute of Technology Madras. He

has wealth of international consulting experience in the broad areas of Technology Strategy Formulation, Techno-

Economic Feasibility Studies, Organizational Restructuring, Corporate Planning, Business Process Reengineering,

Activity Based Costing, and Industrial Engineering /Management.

is a management professional with experience in diverse functional areas – business strategy,

service delivery, marketing strategy & development and business process design. She has worked in regional Asia-

Pacific and in-country roles, in Singapore, India and the United States. She holds an MS in Engineering-Economic

Systems from Stanford University.

is Professor at the Dept of Electrical Engineering, IIT Madras. He received a

B.Tech degree from IIT Kanpur, and M.S. and Ph.D degrees from the University of Maine, USA. Professor Jhunjhunwala

has the unique distinction among academics for combining innovations in technology and business incubation with the

social goal of sustainable development in India.Dr. Jhunjhunwala leads the Telecommunications and Computer

Networks Group (TeNeT) of IITM faculty whose members have been working closely with industry in the development of

a number of products suitable for developing countries using affordable technologies for more than a decade.

is a data evangelist with extensive experience in finance, retail, social media, human

resource and Government. Her forte is in the field of data mining, machine learning and statistical modeling.

She actively researches in social media to derive actionable insights using advanced analytical models.

Parvathy topped her Masters in Econometrics from University of Madras.

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- recognized & featured by Ministry of Micro Small & Medium Enterprises

– featured entrepreneur by The Indus Entrepreneurs, Chennai in Feb, 12

Strategic Partnerships

Business -

Technology –

Served more than for Businesses & Govt organizations

Identified funds requirement in Jan 2014 and

through partner network

Singapore, Canada, US & North America, Kuwait

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Business

Partnership with ITCOT , QT&T and four strategic alliances

Member of Nasscom, CII, TIE

Nrich partnership for setting up Aaum in Canada.

Technology

IBM’s Global Entrepreneurship Program

Amazon’s Activate Program

SAP’s Startup focus program on Loyalty Analytics

Actuate

Academia

IIT Madras, VIT, MSE, IIMI, ICT Academy– Dedicated talent pool for Aaum

and our invaluable Customers

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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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

www.geniSIGHTS.com/retail

http://genisights.com/ecommerce/home

.jsp

and many more

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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Case illustration # 1Exploring cross sell/ up sell opportunities through “Market

Basket Analysis”

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Demo

Case illustration # 1Exploring 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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Case illustration # 3 “Uplift modelling to predict the “persuadables”

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Demo

Case illustration # 3 “Uplift modelling to predict the “persuadables”

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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 #10Better assignment of credit to marketing channels through

“Attribution Modelling”

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Demo

Case illustration #10Better 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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Demo

Case illustration # 16 “Unstructured data analysis” on social media/Org data

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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“Our engagement with Aaum Analytics has been overwhelmingly fulfilling. Aaum’sexpertise in data mining and analytics were immensely useful in delivering quality resultsfor our organization. The team was quick in understanding of travel domain and using theirexpertise gave us meaningful insights into data reporting capabilities to benefit ourcustomers”.

We believe Aaum Analytics is aptly positioned to capture the next wave in big dataanalytics.It has a strong functional focus on identifying and linking disparate data sourceswith existing client platforms and aligning these with business metrics to deliver ananalytics package that delivers quantifiable benefits and not just perceptive improvements.The approach of covering the diagnostic-predictive cycle of analysis is also commendable.

The quality of the senior team members is also excellent as they come with deep statisticalmodeling background and deliver as hands-on data scientists. Lastly, their solutions aregeared towards exciting space such as media & entertainment, e-commerce, etc. that willensure fast growth for the company assuming they are able to crack open the market.

"AAUM team mined our past 3 years data and came up with very useful insights oncustomer behavior, booking patterns, peak booking trends, customer retention metrics,agent behavior and booking patterns etc.. These insights were very useful in taking manybusiness decisions which helped us maximizing our revenue and customer retention.“

The client servicing side was quick to understand various fmcg concepts and learn thedynamics of our eco-system. The analytics team showed great ability in identifying keyproblem areas and devising effective solutions to address them. You demonstrated greatpatience support and understanding when we went about revising our requirements and UIdesign on multiple occasions. It was a great pleasure working with the Aaum analyticsteam. I wish you the very best in your future endeavours.

Aaum consultants quickly identified existing gaps, explored new opportunities and finallycame up with relevant business strategies in a very short span of time. Begin a startup, thisapproach very much helped us to take quick decisions for us to set strategic direction in TNand create new business in AP and other states. It was an insightful and enjoyableexperience working with aaum.

Our organization partnered with AAUM to build a comprehensive business intelligenceplatform that would enable advanced analytics and reporting to aid our business areas.Knowing what path to take requires understanding of the current maturity level and thedesired level. Aaum consultants evaluated the current maturity of BI initiatives by analyzingthe data sources and the past data. Based on this understanding, the consultantsemphasized the need to set up the right data infrastructure for BI initiatives through settingup of data warehouses, analytical tools and reporting environment. We are extremelyhappy with the professionalism exhibited by Aaum consultants and have entered with long-term agreement to perform predictive and other advanced analytical requirements.

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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Features Reporting Analytics Analytics +Report dashboards

4 - 5 8 -10 Customizable

Analytics support Basic Medium AdvancedTimeline 10-15 days 1 month As per requirements

Dep

loym

ent Cloud

+

Web-basedNo separate hardware/software

Web-basedNo separate hardware/software

Web-basedNo separate hardware/software

On Premise++

@ Client location @ Client location @ Client location

Big data support No Yes YesExports Excel, PPT, PDF, Doc, XML,

open office formats, etcExcel, PPT, PDF, Doc, XML, open office formats, etc

Excel, PPT, PDF, Doc, XML, open office formats, etc

Support*

10 business days 10 business days As per requirementsCustomer support Resolution with in 24 hours Resolution with in 24 hours As per Service Level

Agreements

Sample reports(Visit www.genisights.com to access these reports)

MIS at a glance Cross selling/Upselling Predicting loyal customers

Inventory review track Engagement analysis Credit Scoring

Sales performance Recommendation Unstructured/Social media

+ Cloud deployment would be in Amazon AWS. Separate accounts would be created for the client applications. Cloud hosting costs would be charged basedon actual consumption in the cloud.

++ On Premise deployment would incur additional costs in integrating/developing with client tools.

* 10 business days support after the delivery. This could be extended by AMC.

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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Too specialized or too generic

Costs a lot to cater to the specifics

Needs a very good understanding of analytics to embrace it

Should make use of the existing infrastructure as well

Need advise to represent things better, insightful without spending a lot but how?

Market offerings

Years Projects Domains

Advantage geniSIGHTS

Exactly your Product

X ROI

Customizable as you need it

Enhanced with advanced analytics

Extensible in cloud & Big Data environment

Dedicated team building insightful solution

Scalable BI initiative

Ou

r S

olu

tion

If seeing is believing, see how geniSIGHTS evolved…

geniSIGHTS - Aaum’s differentiator to grab significant pie in the Analytics Market

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Reap the benefits of advanced analytics in incremental stages

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Your affordable, customizable and scalable advanced analytics solutions to help you to scale retail/eTail business

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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Research

data

CRM

data

FInance

data

Dept n

data

Other

private

data

Client data sources

SQL NOSQL

geniSIGHTS enterprise data warehouse

R2

R1

A2

A1

Rep

orti

ng

en

gin

e

Analytical engine

Analytically enriched dashboards and applications

• SQL• Hadoop• Hbase• MongoDB• DynamoDb

Aggregator and integrators

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Company Description

Value Proposition

Use Cases

Customer Validation

Business model, pricing

Competitive positioning

Technology/Product description

Way forward

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1 Follow up discussions

2 Identifying requirements

3 Business collaborations

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geniSIGHTS

Scalable big data advanced analytics solutionINDUSTRIES•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 toyour business

[email protected]

Call8754577385/6/7/8/9

www.aaumanalytics.comrapid 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

COMPANYFounded by IIT Madras alumnus brings in extensive global business experience working with Fortune 100companies in North America & Asia Pacific. Established at IIT Madras Research Park with a focus on researchingand devising sophisticated analytical techniques to solve pressing business needs of corporations ranging fromtravel & logistics, finance, insurance, hr, health care, entertainment, FMCGs, retail, telecom.

improved business

performancelowers costs for businesses