Adopting Analytics for decision making in a bank
-
Upload
krishna-bollojula -
Category
Data & Analytics
-
view
23 -
download
0
Transcript of Adopting Analytics for decision making in a bank
![Page 1: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/1.jpg)
Adopting Analytics for Decision Making
in Coman Bank of India
ByAnkush RoyAshitha VSAtanu MaityKrishna BollojulaShikha Rani Deo
![Page 2: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/2.jpg)
Agenda
• Business background
• Business requirements
• Organization preparedness for analytics
• Your scope of work
• Defining and measuring success
• The next step
![Page 3: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/3.jpg)
History Headquartered in Kolkata.
Incorporated on 11 January 1983 at Kolkata, West Bengal.
Operations include retail banking, private banking, corporate/wholesale banking and agriculture banking.
![Page 4: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/4.jpg)
Business Overview Private banking solutions for individuals and
businesses
Deposits, loans, investment solutions, payments and cards
275 branches and 474 ATM’s across India.
200 Asset Sales Centers operating out of 15 cities with standardized appraisal and oversight mechanisms.
![Page 5: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/5.jpg)
Vision To be the preferred financial solutions provider
excelling in customer delivery through insight, empowered employees and smart use of technology.
Mission To become a strong and innovative bank with
integrity and social responsibility to maximize customer satisfaction as well as that of the employees, shareholders and the society.
![Page 6: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/6.jpg)
Agenda
• Business background
• Business Requirements
• Organization preparedness for analytics
• Your scope of work
• Defining and measuring success
• The next step
![Page 7: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/7.jpg)
Business Requirements
• Customer Retention
• Cross selling/Up selling
• Risk assessment and fraud detection
![Page 8: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/8.jpg)
Customer Retention
• Management of customer churn
– Target churn rate of less than 2% in the next 2
years from current level of 4%
• Characteristics of churn
– Moving Away from a particular product OR
– Moving Away from a particular channel
• Branches
• Digital Channels
![Page 9: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/9.jpg)
Customer Retention
• Opportunities
– Improving Operational Efficiency
– Improving Product Design
![Page 10: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/10.jpg)
Cross selling/Up selling• Cash-in the existing customers
• Target single product customers to 40% of customer base from current level of 50%.
• Pre-requisite : Single view of the customers with all their characteristics well defined.
• Alert with the prospects details while launching/campaigning suitable products
![Page 11: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/11.jpg)
Risk Assessment/Fraud Detection
• Revenue loss of 4% due to bad debts/fraud– Target less than 2% in the next financial year
• Risk Profiling– Segment based on repaying capacity
• Existing Customers – Flag the customer portfolios with characteristics of default
![Page 12: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/12.jpg)
Risk Assessment/Fraud Detection
• Prevent Account Takeover transactions in case of digital channels
• Balance between point of detection and false positives
![Page 13: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/13.jpg)
Agenda
• Business background
• Business Requirements
• Organization preparedness for analytics
• Your scope of work
• Defining and measuring success
• The next step
![Page 14: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/14.jpg)
Organization PreparednessTechnology• FINACLE - Centralized Banking Solution
– Connect all branches for day-to-day operations• Enterprise Data Warehouse(EDW)
– Store current and historical data used for reporting and data analysis
• Information Security Management System (ISMS)– Comply with the standards of ISMS for Data
Centre
![Page 15: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/15.jpg)
• Bill Desk and CC Avenues – Payment gateway– Providing payment gateway services.
• Data centre – Maintaining the networked system– Operating round the clock
• Disaster recovery centre – Operating for meeting various contingencies.
• CRM– Personalizing information to retain customers
and market products.
![Page 16: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/16.jpg)
Culture of Analytics• Analytics knowledge
– Creating analytics awareness.– Improving skills and resources.
• In-house training– Designing analytics program to know and fill
the gaps.• Analytics Adoption
– Planning to implement in the following areas:• Data Management & Integration• Integrated Risk Analytics• Customer Analytics
![Page 17: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/17.jpg)
Agenda
• Business background
• Business Requirements
• Organization preparedness for analytics
• Your scope of work
• Defining and measuring success
• The next step
![Page 18: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/18.jpg)
Your Scope of WorkCustomer Segmentation
Understand the customer needs and sentiments regarding banking
Create customer profiles according to each segment
Identify new cross-sell and up-sell opportunities
Focus on the needs of the most profitable customers
![Page 19: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/19.jpg)
Your Scope of WorkCustomer Churn
Identify the segments where retention programs must be practiced
Identify the reasons behind customer switching to a competing institution
Track the changes in customer behaviour so products can be tailored accordingly
![Page 20: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/20.jpg)
Your Scope of WorkRisk and Fraud Management
Analyse credit portfolios enabling us to quickly identify potential delinquency cases
Estimate the risk of customer loans based on the earning capacity of the borrowers accurately
Determine the probability of loan default and expected recovery of loan default
Detect and prevent frauds
![Page 21: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/21.jpg)
Agenda
• Business background
• Business Requirements
• Organization preparedness for analytics
• Your scope of work
• Defining and measuring success
• The next step
![Page 22: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/22.jpg)
Defining and Measuring SuccessThe analytics solution provided should address our pain points. This will be based on the degree of yardsticks achieved.
Yardstick Remarks
ROI Increase in revenue or decrease in cost or both, over the cost of implementation of analytics solution
Loading time of data Faster extraction of data ,real time data extraction will be preferred
Solution Scalability and Robustness The ability to handle growing amount of data in future which in our case may be exponential , ability to cope with erroneous data. Avoidance of network traffic congestion
Data Integrity Assuring the accuracy and consistency of data over its entire life-cycle by a series of integrity constraints or rules
Implementation Complexity User friendly not exaggerated complex technical solutions which would require effort and time from our management
Data Security Keeping data protected from corruption and unauthorized access by disk encryption,backups,data masking and data erasure
![Page 23: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/23.jpg)
Evaluation Approach for Measuring SuccessRegular reviews and degree of yardsticks achieved will be evaluated for each phase which are mentioned below
![Page 24: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/24.jpg)
Agenda• Business background
• Business Requirements
• Organization preparedness for analytics
• Your scope of work
• Defining and measuring success
• The next step
![Page 25: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/25.jpg)
• Functional Requirements Document :Detailed, measurable, consistent and comprehensive system requirements.
• Proof Of Concept:Prototype of analytics solution to be designed.
• Business Sign off:Development sign off by the business owner after reviewing all documents.
• Final Contract:Issuance of formal contract to the team providing the best proof of concept.
The Next Step
![Page 26: Adopting Analytics for decision making in a bank](https://reader030.fdocuments.in/reader030/viewer/2022032620/55ce528abb61eb22188b45c5/html5/thumbnails/26.jpg)
Any questions ??