Transforming Finance Industry using Data Analytics

1. Cognitive Financial Services
Offerings
Financial Services Offerings
1
Proprietary & Confidential
Embrace the power of cognitive computing to engage and empower your customers

2. About
2
Proprietary & Confidential
COGNUB - formerly Kreara Solutions for 12 years
ENGAGE MODEL DECIDE
Real Estate, Financial Services, Healthcare
Evolved into a Cognitive Decisions Company Serious Gaming and Visualisation Services
Statisticians, Data Scientists and ML Experts Dynamic Models powered by Cognitive Computing
Expertise in NLP, Deep Learning, AI, Gaming Scalable Insights as a Service Cloud Platform
RESTful APIs Offices in India and USA

3. Increase Revenue
Deepen Customer Relationships
Reactivate Sleeping Customers
3
Proprietary & Confidential

4. Proprietary & Confidential
Identify and Activate
Identify customers who
are already enrolled but
have not done their first
trade
Targeted campaigns
through print, media and
social media to make
them do their first trade
First Transaction
4

5. Proprietary & Confidential
Identify the inactive
customers and prioritise
the customers we want
to activate
Methods like RFM
Analysis, Customer
Lifetime Value and Profit
Analysis will be
employed
Reactivate Sleeping Customers
Reactivate Transactions
5

6. Proprietary & Confidential
Identify Reasons for Sleep
Survey will be
conducted on a
stratified sample to
identify the reasons
behind sleep
Lack of Gains
High transaction fees
Poor Investment Tools
Bad market conditions
Personal Issues
Need more Investment options
Customer dissatisfaction
6

7. Proprietary & Confidential
Customer Reactivation Model
Predictive models are
built to recommend the
next best action to
reactivate
Throw a party
Reduce the brokerage through the limited offer
Training Customers ( Better profit , Online trading )
Economical , Political , RBI , Government events trigger
Special Days trigger ( Birth day, mother’s day etc )
One to one meetings
7

8. Proprietary & Confidential
Opportunities to Upsell
Conduct routine profit
analysis and create a trigger
Analyse location based
product affinity and identify
targeted upsell
opportunities
Understand customer
behaviour and identify
upsell opportunities
Use unstructured data from
the branch along with
customer demographics to
identify clusters
Sell More
8

9. Proprietary & Confidential
Opportunities to Cross-sell
Apply association rules and
collaborative filtering to
identify potential mutual
fund customers
Identify lazy customers to
cross sell mutual funds
Well defined business rules
to perform cross sells
Sell Other Products also
Mine the mutual fund data
to identify the risk patterns
of the customers
9

10. Proprietary & Confidential
Online Data Visualisation
10
Online
Dashboard
Reports through
Mobile application
Generate
standard reports
and insights
Automate the
data fetch and
daily batch jobs

11. Proprietary & Confidential
Monitor Customer
Engagement
11
Automate data
acquisition and
analysis
Routine batch
analysis of data
Integrate
marketing plans
with the insights
Monitor
Customer
Satisfaction
Identify and
Implement ad-hoc
reports
Monitor
customer activity
based on the
RFM scores
Measure
campaign
effectiveness
Identify other
areas of
improvement
and put analytics
to use
Customer Alerts
based on
portfolio and risk
analysis
Detect customer
behaviour
patterns against
current events

12. Proprietary & Confidential
500%!
ROI!
!
5 - 20% !
Revenue !
increase !
potential!
Outcome !
based !
Pricing Model!
IMPACT
OUR SOLUTION
BUSINESS PROBLEM
Client was one of the worlds largest financial services firm
Objective was to increase trade revenue by reactivating sleeping customers
Identify the cross-sell and upsell opportunities across the 5 product streams
Increase customer satisfaction
Aggregation, validation and curation of trade data for 10 years
RFM Analysis to identify the most profitable customers
Identified the sleep patterns and reasons to sleep
Employ marketing methods to reactivate these customers
Identified cross sell and up sell opportunities through association rules.
500% ROI after six months of pilot and company subscribed to our Engage-Decide-Build
Model as a strategic investment
Cognub Advantage - A Case Study
12

13. Proprietary & Confidential
Getting Started
Anoop P Ambika,
Chief Executive Officer, COGNUB
anoop@kreara.com
+91.471.2527640
13
Nitin T Anilkumar
Business Development Manager, COGNUB
nitin.ta@kreara.com
+91.471.2527640
Antony Satyadas,
Chief Executive Officer, Innovation Incubator
antony@innovationincubator.com
+1.781.953.0902
Dr Umesh Harigopal,
Chief Innovation Officer, Innovation Incubator
umesh@innovationincubator.com
+1.732.979.9507