Analytics Solutions offered by BRIDGEi2i for B2B Technology Companies

1. @ 2013 BRIDGEi2i Analytics Solutions Pvt. Ltd. All rights reserved
BRIDGEi2i ANALYTICS SOLUTIONS –
B2B Technology Marketing Analytics Solutions
Prithvijit Roy
CEO & Co-founder
prithvijit.roy@bridgei2i.com

2. About Us
2
To be a trusted partner for businesses, helping them achieve
accelerated outcomes by simplifying analytics and embedding it
in their DNA.
BRIDGEi2i
is an Analytics Solutions company focused at helping you BRIDGE
VISION
Transform and visualize big data
into meaningful business metrics
INFORMATION
Identify underlying patterns,
understand behavior and predict
outcome
INSIGHTS
Operationalize data driven
decisions to realize sustainable
business value
IMPACT
Delivering Sustainable Business Value by Institutionalizing Data Driven Decisions

3. Information Insights Impact
3
What happened? When?
How much?
Why it happened?
What will happen next?
How to operationalize?
How to sustain?
Capture relevant data
Identify key metrics
Design & generate reports
Identify drivers & trends
Understand behavior
Predict outcomes
Build & implement strategies
Enterprise-wide adoption
Metrics & reporting
Descriptive statistics
Visualization
Underlying trends
Predictive models
Optimization
Real time decisions tools
Change management
Institutionalization
INFORMATION INSIGHTS IMPACT
INPUT
Internal and External Data,
Structured and Unstructured
OUTCOME
Accelerated Growth, Risk
Mitigation, Cost Reduction
BRIDGEi2i helps bridging the gap between Information, Insights and Impact
BRIDGEi2i
DELIVERABLES
CLIENT PROBLEMS
ADDRESSED
BRIDGEi2i
CAPABILITIES
PHASES
ACTIVITIES

4. Our Solution Offerings
4
• Targeted acquisition
• Lifecycle value enhancement
• Customer experience management
• Enhance retention
CUSTOMER
INTELLIGENCE
• Market intelligence
• Maximize return on marketing investment
• Digital media effectiveness
MARKETING
EFFECTIVENESS
• Price setting
• Discount optimization
• Price realization
PRICE
OPTIMIZATION
• Increase leads & sales coverage
• Increase Sales Conversion
• Increase share of wallet
SALES
EFFECTIVENESS
• Customer risk management
• Fraud detection
• Portfolio risk assessment
RISK
MANAGEMENT
• Procurement spend optimization
• Supply Chain planning
• Human resource effectiveness
• Customer service planning
OPERATIONS
PLANNING
Solutions across the key business functions

5. Key Marketing Priorities in Technology Companies
Market Intelligence Customer Intelligence
Marketing Effectiveness Price Optimization
Profitable
growth
KEY MARKETING OBJECTIVES
What is the target market for our products
and solutions?
How do I generate more targeted leads for
customer acquisition and expansion?
How do I set my price and discounting
strategy?
KEY MARKETING CHALLENGES
How do I increase the effectiveness of my
marketing spends across multiple media?

6. BRIDGEi2i Analytics Solutions for Technology Marketing
6
1. Market Assessment
2. Competitive Intelligence
3. Product Feature Comparison
1. In Depth Account Profiles
2. New Customer Acquisition
3. Installed base marketing
1. Enhance Return on Marketing
Investments
2. Web Analytics
3. Social media analytics
1. Price Setting
2. Deal Pricing
3. Price Realization
MARKET INTELLIGENCE CUSTOMER INTELLIGENCE
MARKETING EFFECTIVENESS PRICE OPTIMIZATION
1
Understand target market trends
& competitive position
2
Proactively identify opportunities
with customers & prospects
3
Optimally reach out to customers
to convey messages and offers
4
Continuously track marketing
performance & customer needs
1 2
3 4

7. 1. Market Intelligence Solutions
7
Market Assessment
Detailed definitions of addressable and adjacent
markets based on product features, competition,
and industry analysts definitions. Identify
relationships between segments and adjacent
markets
Market Intelligence Competitive Intelligence Product Assessments
Impact Analysis of Market Trends
Detailed assessment of impact of trends and
identified actions to help leverage or protect
against the trends
Market Landscape and Size Forecast
In-depth market landscape and size forecast
model incorporating the impact of market trends,
macro factors and competitors performance
Competitor Profiles
Actionable recommendation to help clients fortify
and gain market share against key competitors
and challengers. Key analysis criteria - business
model, marketing and sales strategy, market
responsiveness and ability to execute
Marketing enablement
Insights on competitors positioning strategies to
support marketing messaging and
communications effectiveness. Key analysis criteria
– competitive product launches, marketing
campaigns, value proposition etc.
Pursuit Support
Develop tactical competitive response to enable
sales force and channel partners effectively for
specific sales pursuits – battle cards, competitive
response, pricing and campaigns analysis
Feature Assessment
Feature comparison of Client vs. competitors to
identify gaps in existing product/services and
areas which can be leveraged to drive competitive
advantage
Perceptions Analysis
Develop competitive understanding of market
perception based on users and expert’s reviews/
feedback of own and competitive
products/services
Roadmap Analysis
Analysis of competitors product roadmaps to
identify possible future threats
Technology Assessment
Identify competitors’ investment in new
technology areas and assess possible benefits
Providing a comprehensive view and recommendations on market, competition and customer
Market Size and Share Reporting
Identify metrics and develop process to measure
and track business and market performance

8. 2. Customer Intelligence & Installed Base Solutions
Account Profiling
Detailed profiling of key target accounts to assess
financial performance, future objectives, potential
technology spending to build better customer
understanding
Customer Profiles for In-depth
Customer Insights
Customer Segmentation
Analyse demographic profiles and customer
relationships based on internal data or primary
research to assess the sweet spot for targeting
Usage Analysis
Analysis of current relationship in terms of usage
and transactions to identify triggers and timing of
upgrades / cross-sell
Identify White-spaces of Relationship
Analyse customer relationship across various
products and identify open but obvious areas for
immediate cross-sell opportunities
Lead Generation for Targeted
Acquisition
Installed base Analytics to
Increase Share of Wallet
Building a Consistent View towards Opportunities and Relationships
Lead Prioritization
Build look-alike models to identify prospects
which has similar profiles as current customers.
Such models helps prioritizing leads
Opportunity sizing
Estimating market size opportunity for the
prospects and accounts based on their
demographic profile
Propensity Models
Build statistical models to predict propensity of
buying certain products based on current
relationship, product association
Order and Revenue Reporting
Analyse trends and patterns of orders and revenue
across various products / features and cross-
product association
Campaign Reporting
Identify key metrics for measuring ROI from
various marketing campaigns to increase
marketing effectiveness
Analyze customer relationships
Identify most valued customers, triggers of
upgrades, renewal, retention and loyalty

9. 3. Return on Marketing Investment
9
MEASURE EFFECTIVENESS MARKETING ROI MODELING BUDGET OPTIMIZATION
Build vehicle effectiveness metrics
Build consensus around consistent
definitions of marketing effectiveness
metrics to be tracked periodically
Assess campaign performance
Create data collation, analysis and
dissemination methods to assess
performance of various campaigns across
direct marketing, email & digital marketing
Relate performance with marketing efforts
Build a regression and time series based
forecasting model to relate business
performance with spends across various media
(search, email marketing, display, social, DM)
Optimization model for highest RoI
Build a non-linear model for optimal
allocation of budget across vehicles and
products to maximize number of visits.
Based on the driver model.
Continuous test and learn process
Setting up a process to continuously learn
and tweak the model and its assumptions
based on visit and conversion observed
e.g. Web visits, Response rate, Marketing
spends, leads , conversion rate etc.

10. 3. Web Analytics to improve demand generation
10
Help set up analytics
ready digital platform
Measure the performance of
digital campaigns real time &
make adjustments
Optimize media and
campaign mix
Identify the right strategy
for customer groups for
email & banner campaigns
1. Infrastructure 2. Performance Monitoring 3. Attribution &
Optimization
4. Personalization
Web trends/ Google
Analytics / Omniture
implementation
Design Executive &
Operational
Dashboards
Define segments and
custom events
Identify search words
and blogs to track
Segment A
Segment B
Segment C
Dynamic banners,
personalized offers
Customized email
subject lines
Personalized
messaging
Conversion and Visitor flow
analysis
SEO / SEM and keyword
effectiveness
Campaign Effectiveness
Social Media tracking & Social
campaign analysis

11. 3. Analyze Buzz And Feedback From Social Media
OBJECTIVE
Use Social Media data to augment internal data and make marketing investment decisions
To identify opportunities to introduce products in an area where competition is weak
Concise
insights
but faster
data
Deeper
insights
but slower
data
Networking
Reviews
Research
Reports
Data Extraction
& Crawling
Extraction of relevant comments,
reviews
Structuring the textual data
Feature
Extraction
Segregate relevant texts for each
product feature
Analyze comments across features
Sentiment
Scoring
Analysis of direction as well as
degree of tonality in comments
and reviews
Indices Creation
Creation of indices around
satisfaction, recommendation ,
buzz etc.
Illustrative Data Sources BIG Data Engine Business Outcome
1 CORRELATE WITH PRODUCT SUCCESS
Identify and correlate social media
indices to forecast product performance
2 IDENTIFY DRIVERS OF SATISFACTION
Benchmark feature level sentiments
against competitors to assess key
drivers of customer satisfaction
3 IDENTIFY UNMET NEEDS
Identify opportunities of new product
based on gaps communicated by users
as well as competitive benchmarking

12. 4. Price Optimization
PRICE SETTING
Strategic
Set, reset (and justify) prices aligned to
market, customer value & financial
objectives (margin, market share etc.)
•Market & Competition Analysis
•Customer Segmentation
•Price Value Maps
•Price Volume Sensitivity – Optimize Price
DEAL PRICING
Tactical Price Execution
Support regions, deal teams to execute on
strategic pricing approach - Optimize
discounts & enhance ability to defend price
(& value)
•Deal Price Optimization
•Price Dispersion
•Customer Quote Analysis
•Win Loss Analysis
12
PRICE REALIZATION
Minimize Price Leakage
Provide visibility across Pricing process &
ensure Price agreed reflects in revenue
realized – Minimize revenue leakage,
waivers, ensure billing per T&Cs agreed etc.
•Price Waterfall
•Non Price – Warranty, Services etc.
•Pricing Dashboards & Simulation Tools
•Price Leakage: Billing & Waivers Analysis
Data Driven approach to support Pricing decisions to drive Margin growth

13. Our Approach
13
Understand Business Problem
Consulting Services
• Construct Analytical framework for
the business problem
• Understand focus areas and
interrelated processes
• Identify key metrics for
improvement
• Understand expected outcome
Design Approach
Advanced Analytics Services
• To Segment, Predict & Optimize
• Translate analysis into business
insights
• Prioritize business process
improvement opportunities based
on feasibility & impact
• Plan and track impact &
sustainability of change
Construct Analytics SolutionsAugment and Manage Data
Data Services
• Identification of required sources and
data gaps
• Mapping of data to business
definition
• Data-mart creations
Technology Solutions
• Data access, cleaning and
augmentation to improve accuracy
Enhance Access to Insights
Portals designed to provide anytime and
anywhere access to insights
Integration with existing platforms to
enable single pane of glass for insights
Collection of best in class
Frameworks Expertise in leading Analytics tools
Traditional Sources
Social Media
Analytics Apps to enable self service
analytics for business managers
• Survey analysis
• Automated recommendation
• Forecasting and scenario planning
Unique approach to drive outcome focused solutions

14. Value Proposition
14
Delivering improved ability to predict changing business dynamics and enhanced agility to
drive fast and informed actionable decisions
Pan enterprise
institutionalization of
analytics based decisions
to deliver sustainable
impact
Scalable analytics capability and modular technology assets enable
identification and execution of high impact analytics opportunities
and operationalization of data driven decision making
SUSTAIN
Cutting edge analytics and business domain expertize enable us to
solve complex and unstructured business problems and deliver
measurable business impact
Solve unstructured
business problems based
on data and analytics
SOLVE
Easy to use and cost effective DIY apps to enable business
managers leverage advanced analytics to drive better and faster
business decisions
Simplify the process of
deriving actionable
insights
SIMPLIFY

15. • Advanced analytics techniques
coupled with business domain
expertize
• Proven experience in building
large analytics capability and
deploying enterprise-wide
solutions
• Modular and customizable
advanced analytics algorithms
embedded enterprise tools
• Cloud based, easy to use apps
leveraging the power of
advanced analytics
Our Value Enablers
15
Partnering with businesses to derive measurable and sustainable business impact based on
data and analytics leveraging our …
CORE
CAPABILITIES
TECHNOLOGY
ASSETS

16. Core Capabilities
16
Advanced analytics techniques coupled with business domain expertize
Predict customer and employee needs and drive personalized action through study of historical
behavioural information
• Targeted customer
acquisition
• Cross-sell & retention
strategy
• Targeted hiring
• Social media influence
• Price setting
• Account management risk
management
• Sales forecasting, sizing &
allocation
• Optimize market mix
• Discount planning
• Procurement spend
reduction
• Portfolio Loss forecasting
• Optimize Operational staffing
Increase efficiency and effectiveness of available resources based on optimal allocation and utilization
given the business constraints
Resource Planning
& Optimization
Examples of Business
Application
Behaviour
Modelling &
Personalization
Examples of Business
Application
Classify &
Segment
Identify Drivers
Mine
Sentiments
Predict Future
Needs &
Reactions
Forecast Based
on Past Trends
Optimize
Performance &
Utilization
Simulate Future
Scenarios
What-if &
Sensitivity

17. Technology Assets - Applications
17
Customer needs
assessment
Targeted product offer
Optimization of support
operations
Forecasting business
metrics
Survey
Analytics
One-Stop platform for cross
tabulation, visualization, key
driver analysis, text mining and
sentiment analytics from survey
data
Recommendation
Engine
Online and Offline product and
action recommendation engine
based on blend on behaviour of
both “Own” as well as
statistically “Similar Users”
Capacity
Planning
Simulation of queue based
business processes and capacity
optimization applicable for
hospital staffing, transaction
processing, retail & bank
counters
Forecasting
Engine
Automated platform for
forecasting time series with
correlated internal & external
factors with extensive “What-If”
and driver analysis
Big Data
Processing
Frameworks and libraries for extraction, summarization, visualization
and data mining on Big Data from web, transaction systems , customer
interactions
Data Collection
Engine
An extensive crawler to extract unstructured data from websites and
social media and classifying them into risk groups based on supervised
learning
Targeted
Business Need
Tools to
Transform
Business Insights
Tools for Data
Management and
Collection
Modular and customizable advanced analytics algorithms embedded enterprise tools

18. Engagement Model
18
Flexible engagement model based on business requirements
Analytics
DIY Apps
Analytics Consulting
Services
Managed Analytics
Services
Effective and implementable solutions to unstructured business problems
helping you achieve measureable business outcome
Build a high calibre and scalable Analytics Centre of Excellence (COE) for
an enterprise-wide identification and deployment of high impact analytics
solutions
Enabling business managers leverage power of advanced analytics
through easily available and affordable pre-packaged or custom apps in
premises or on cloud to drive data driven business decisions faster

19. Our Clients
19
Fortune 50 diversified technology company
Fortune 100 B2B technology company
Leading provider of hybrid data protection solution
Global business communications solutions
Global semi-conductor company in wireless telecommunications
Fortune 500 European investment bank
Fortune 500, direct banking and payment services company
European Student Loan Provider
Two Leading providers of insurance services and asset management in US
One of India’s foremost consumer packaged goods company
Supplier of high performance aerospace fasteners in USA
World’s leading logistics provider
One of the largest global consulting company
Leading global business process outsourcing company
One of the premier US universities
US based online education company
Online Media company of high-impact documentaries

20. Leadership Team
Prithvijit Roy
CEO
15+ years of experience in building and leading
large scale Analytics Centers for HP and GE.
Experience across Technology, Fin. Svcs., Retail and
Insurance domains
MS in Quantitative Economics from
Indian Statistical Institute
Ashish Sharma
Director, Consulting & Services
13+ years in leading analytics practices across
Consumer Finance, Insurance, Hospitality for
Genpact (formerly GE)
MS in Statistics from Indian Statistical Institute
(Economics & Finance specialization)
Pritam Kanti Paul
Director, Product Development
13+ years in leading development of cutting edge
analytics application across marketing, pricing, risk,
procurement , fraud and operations. Regarded as an
innovative thinker - have prestigious innovation and
leadership awards and patents under his belt
MS in Statistics from Indian Statistical Institute
(Gold Medalist)
Leadership Team
Board of Advisors
Gail Galuppo
Advisor, Marketing Strategy
Led marketing functions for Western Union, Discover,
Standard Chartered Bank & Sears helping drive customer
relationship strategy leveraging data and analytic
solutions to identify “order of magnitude” impact and
drive change.
Prasanna Dhore
Advisor, Big Data Solutions
SVP, Chief Data Scientist for Equifax. Prior to which
guided Fortune 500 companies like HP, Mellon
Financials to unprecedented revenue growth by
uncovering opportunities, transforming and
reinvigorating brands, and putting ideas into motion.
Anand Melige
Advisor, Technology Solutions
Developed and led Analytic Centre of Excellence in
area of Risk Management and Analytics for American
Express, Citibank and GE. Founded Decidyn,
company focused on developing Analytics products.
20

21. Thank You