@ 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

About Us

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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

Information Insights Impact

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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

Our Solution Offerings

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• 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

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?

BRIDGEi2i Analytics Solutions for Technology Marketing

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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

1. Market Intelligence Solutions

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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

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

3. Return on Marketing Investment

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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.

3. Web Analytics to improve demand generation

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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

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

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

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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

Our Approach

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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 Solutions Augment 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

Value Proposition

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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

• 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

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Partnering with businesses to derive measurable and sustainable business impact based on

data and analytics leveraging our …

CORE CAPABILITIES

TECHNOLOGY

ASSETS

Core Capabilities

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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

Technology Assets - Applications

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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

Engagement Model

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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

Our Clients

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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

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.

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Thank You