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@ 2013 BRIDGEi2i Analytics Solutions Pvt. Ltd. All rights reserved BRIDGEi2i ANALYTICS SOLUTIONS – B2C CUSTOMER INTELLIGENCE Prithvijit Roy CEO & Co-founder [email protected]

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@ 2013 BRIDGEi2i Analytics Solutions Pvt. Ltd. All rights reserved

BRIDGEi2i ANALYTICS SOLUTIONS

– B2C CUSTOMER INTELLIGENCE

Prithvijit Roy CEO & Co-founder

[email protected]

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

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

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

The Key Challenges faced by today’s marketers

Increase

Awareness

Improve Lead

Conversion

Retain

Customers

Web & Social

Media strategy

Increase

Marketing ROI

KEY MARKETING OBJECTIVES KEY MARKETING CHALLENGES

How to acquire more leads and prospects for

demand generation programs ?

How to personalize campaigns, offers &

promotions more effectively to increase sales?

How to engage customers using the website &

other social media platforms ?

How to optimize our marketing investments to

deliver higher return ?

How to increase cross-sell & up-sell to existing

customers?

Who are the right customer segments? How to

acquire, position & message to them?

Acquire, grow,

engage & retain

customers

BRIDGEi2i solutions for Marketing

Customer

Research

Brand Audit surveys

Brand tracking &

Measurement

Loyalty & Satisfaction

surveys

Customer

Segmentation &

Profiling

RFM & Value based

segmentation

Clustering & Latent

Class segmentation

Customer segment

profiling

Targeting &

Offer generation

Market basket /

Association Analysis

Propensity & Net

Response models

Next-best purchase

models & Product

affinity models

Value Migration

& Attrition

Analysis

Cohort Analysis

Survival & Attrition

models

Life time Value

framework & models

Web Analytics &

Social Media

Research

Marketing

Effectiveness

Click stream analysis

Social media buzz ,

sentiment &

engagement

measurement

Text & semantic

analysis

Market size / share

research &

forecasting

ROMI/ ROI

frameworks

Market mix models

BRIDGEi2i Core Solutions

BRIDGEi2i Horizontal Services

Custom tools & frameworks using Java, Python, FLEX, .NET & VBA

Data Management Data Enrichment Campaign Management Reporting & Visualization BRIDGEi2i Proprietary tools

SURVEYi2i

Recommendation

Engine

Forecasting Engine

Increasing Effectiveness of Demand Generation Efforts …

7

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

CRM for improving retention & trial to purchase conversion

8

Help establishing 360 degree

view of customer

Measure the key customer

relationship metrics

Personalize communication with

customers at right time

Operationalize an analytically

sound campaign strategy

1. Infrastructure 2. Tracking Metrics 3. Predictive Triggers 4. Campaign management

Customer

Relationship

Management

data

Campaign

Response

data

Marketing

Resource

Management

data

Transaction

& financial

data

Extract

Transform

Load

Marketing

data mart

Create a list of

emails from

customer base

Prioritize based

on predictive

models

Scrub lists for

non performing

emails &

compliance

Messaging &

Call to Action

Campaign

Execution

Record history

of campaigns &

customer touch

• Identify the right

offers that succeed

in driving trial to

adoption rates

Offer

optimization

(Design of

Experiments)

• Target the right

customers to

improve a campaign

response rate

Net Uplift

models

• Identify the triggers

and best offers for

proactive retention

Identify

potential

attritions

Conversion & Closure

metrics

Retention Rates

Usage & Satisfaction

Campaign Response &

effectiveness

Key metrics across channel

of acquisition, product,

geography, industry

Profitable Growth through effective Cross-Sell and Up-Sell

Analyze Product

Association

Identify white spaces of

relationship

Generate cross-sell

relationships

9

Data Approach Outcome

Transaction history

Product Details

Demographics ( D&B etc.)

Customer Relationship

1 2 3

Analyze cross-product

ownership across various

segments to identify

associated products

Identify white spaces of

relationship in individual

customers based on

associated products in

key segments

Build cross-sell product

recommendation and

prioritization of

opportunities and time

based on proprietary

methods

A predictive Cross-

sell / Up-sell

recommendation

Engine

Customer P1 P2 P3

A

B

C

Whitespace

Firmographics

Time of

purchase

Frequency of

purchase Predictive models for next

most logical purchase & time

Lifetime Profitability Modeling

10

FROM TO

Direct marketing strategy focused at optimizing

propensity of response

Prioritization considering customer lifecycle of response,

conversion to long term relationship and risks

Response

Target Respond Apply Convert Attrite Loyal

Conversion Persistency

RFM / Cross Sell/ Life Time Value

TIME

Business

Metrics

Customer

Lifecycle

Purchase

Response Conversion Purchase

Amount

Share of

Wallet x x x

Net Present Value of Customer Marketing Costs / Risk

Expected

Profitability

of leads

Building and integrating models at various lifecycle stages to prioritize leads based on expected profitability for customer acquisition

& lifecycle marketing

Predictive

Models

Acquisition

Marketing

Cross-sell

Marketing

Retention & Win-

back Marketing Applications

Improving Customer Support & Operations

11

ASSESS CUSTOMER SATISFACTION &

LOYALTY DRIVERS

IDENTIFY KEY ISSUES DRIVING

SUPPORT VOLUME & COMPLEXITY

OPTIMIZE CAPACITY AND REDUCE

COST OF OPERATIONS

• Framework to capture and

measure satisfaction &

loyalty

• Execution of customer

survey analysis

• Identify key drivers of

satisfaction and simulate

scenarios

• Mining text feedbacks and

service logs

IDENTIFY SALES OPPORTUNITIES AT

THE POINT OF SERVICE

• Mining call logs and

service records to assess

key support related issues

• Identify products with

recurrent issues and

complaints

• Analyze service metrics

around resolution, time

taken, satisfaction etc.

• Forecasting models to

estimate volume of

support issues

• Staffing models estimating

resource needs

• Identifying opportunities to

increase adoption of low

cost channels

• Analyze service incidents to

identify triggers of cross-

sell & retention

• Build predictive algorithm

for recommendation of

product and banners at the

point of service

Surveyi2i simplifies customer research Productivity, Cost & Flexibility

Manage & clean data

Cross-tabulate data

Data visualization

Statistical significance

Key Driver Analysis

Text Mining of comments Online dashboards & PowerPoint

Ease of Use enables

speed & productivity

Unified featured across

tabulation to insights

Advanced Analytics

Simplified

Publish dashboards

without programming

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Tracking & analyzing customer satisfaction using Surveyi2i

USERS in

Client

Organization

DATA MANAGEMENT LAYER

( Data integration, Merging, Treatments etc. )

ANALYSIS SPACE ( Area where analysts performs various

analysis , design dashboards)

CROSS TAB, BANNER , VISUALIZATION,

ADVANCED ANALYSIS

DASHBOARD PUBLISHING SPACE ( The dashboards are published here to

share with broader group )

AD HOC REPORTS , AUTOMATED DASHBOARDS

Survey Analysts Executives /

management

• CSat & other metrics

across various types of

tickets , products etc.

• CSat across customer

segments

• Drivers of Satisfaction &

dissatisfaction

• Correlation across

satisfaction & other

operational metrics

• Build and share

executive dashboards SERVICE TICKETS INFO

SURVEY DATA - CSAT ETC

OPERATIONAL METRICS

CUSTOMER DATA

Turning Customer Support Data Into Customer Strategy

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Ancillary

Info

Primary

Info Agent Comments and Scribes

Call center data Satisfaction

surveys Customer Data

Analysis

Technique

Identify Key themes & topics Categorization of Comments

Sentiment Scoring Issue identification

Selling Opportunities

Correlate discussions with immediate

needs, chance of conversion

Lapse Triggers

Identify triggers in agent comments

related to potential lapse of policy Customer

Strategy Productivity Enhancement

Identify major issues related to

support calls and driver of delays

Satisfaction Drivers

Correlate satisfaction with support

needs, interaction specifics

BRIDGEi2i EXPERIENCE

One of the largest Group Insurance

provider in US

… looking for identifying key reasons

for calling the contact center & issues

driving such volume and procedural

delays in resolution

BRIDGEi2i Solutions Include

1. Automated structuring and cleaning

of agent comments

2. Identification of topics and themes –

reasons & issues

Analyzing 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

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

17

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

Illustrative Representation of Projects

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awareness Business Operations Finance & Risk

LOYALTY

Supply Chain Management

Customer Lifecycle Value

Modeling

Customer Intelligence

Market Size & Share

Estimation

Marketing Effectiveness Pipeline & Conversion

forecasting

Sales Effectiveness

Demand Forecasting

Modeling

Inventory

Management

Indirect Spend

rationalization across

categories

Procurement Fraud Loss

Forecasting

Risk Management

Trade Promotion

Effectiveness

Pricing Optimal variable

compensation

allocation

Human Resources

LOYALTY

Customer Experience

Studies

Customer Service

Marketing & Sales

Customer profiling &

segmentation

Marketing Metrics &

Dashboard design

Identify sales team

needing intervention

to meet quota Risk Model

Governance platform

design

Strategic Price

Setting & Elasticity

Analysis

Employee Retention

drivers

Identification of issues

from customer service

transcripts & scribes

Inventory

Replenishment

models

Target Marketing Scorecards

Marketing Mix

Modeling

Identify triggers of

reducing sales

onboarding time

Student interventions for

Attrition Reduction

Employee

Satisfaction Survey

Design, Execution &

Analysis Recommendation of

advertisements based on web

behavior

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