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
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