2. SPAN Infotech (India) Pvt. Ltd.
Today’s Speakers
2
Mahesh D.N.
AVP-BFS Practice Head
SPAN Infotech (India) Pvt. Ltd.
Email Id:
mahesh_dn@spanservices.com
Karthik Bapat
Lead Business Analyst
SPAN Infotech (India) Pvt. Ltd.
Email id :
karthik.bapat@spanservices.com
Terence Hook
Strategic Advisor
SPAN Infotech (India) Pvt. Ltd.
Email id:
terence.hook@spanservices.com
3. SPAN Infotech (India) Pvt. Ltd.
Introduction
3
Smart
Systems
New
technology
Modernization
Rigid
systems
Old
technology
Outdated
business
services
4. SPAN Infotech (India) Pvt. Ltd.
Why change anything that is working fine?
4
Customer ‘wow’ experience
Personalized pricing and portfolio mixes
Banking without boundaries
Cost
Reduce maintenance & operating
costs
Competitive reach
Not by branch networks, but through
technology, licenses, advertising
Changing revenue models and
business needs
From assets and liabilities to customer
engagement and cross-selling
5. SPAN Infotech (India) Pvt. Ltd.
Payments and
Transactions
(1994-2000)
2000-2020
Build a digital
ecosystem
Intelligent
multichannel
Optimized
Product
Distribution
Socially
engaging
Customer
centric
What is the change ?
5
6. SPAN Infotech (India) Pvt. Ltd.
Technology that helps us change!
6
Wave 1
Mainframe
Terminals
<1985
Wave 2
LAN / Internet
Client / Serve
Solutions
1985-2005
Wave 3
Big Data Analytics
Cloud Services
Social business
Broadband / Wi-Fi
Intelligent
solutions
2005 – 2020+
7. SPAN Infotech (India) Pvt. Ltd.
Big Bang
One-time change
Pre-training required
For bulky systems
Sequential
Module by module
change
For patched or
modular systems
Approach to Smart transformation
7
Hybrid
Logical Components at
a time
8. SPAN Infotech (India) Pvt. Ltd.
Impact & Trigger Analysis - Current Standing
8
Organization
Vision & Strategy
Short-term & long term objectives
Organic vs inorganic growth
Systems Analysis (Infrastructure)
Effectiveness
Age
Efficiency
Support
Maintenance costs
Interoperability
Stakeholders
Business consumers
Internal user / customer
Management executives
External factors
Market feasibility
Central bank regulations
Political environment
Clearing systems/norms
9. SPAN Infotech (India) Pvt. Ltd.
Scorecard
9
Business
Consumers
Internal Users
Management
Executives
Stakeholders
System 1
System 2
System 3
Best Fit
Next Best
Last Preference
10
20
80
40
10
2
15
60
70
10
50
90
20
30
10
40
60
90
0
20
40
60
80
100
System 1 System 2 System 3
Systems Analysis
Effectiveness Age
Efficiency Support
Maintenance Cost Interoperability
0
20
40
60
80
100
External Factors
System 1 System 2 System 3
0
50
100
150
System 1 System 2 System 3
Organisation
Organic & Inorganic Growth
Short Term & Long Term Objectives
Vision & Strategy
Best Fit
Next Best
Last Preference
10. SPAN Infotech (India) Pvt. Ltd.
External
data
Internal
data
Example 1- Smart banking to engage and delight
10
Customer calls
on an enquiry
BANK
Capitalize on
dashboard
interpretation
like: Spending &
Investment
patterns
Dashboard services
Self service to save time
Answers
the Query
Powerful
Dashboard
Representa
tion
Customize
an offer
Video call
with
experts
Advisory
tools for the
future
Big Data
/BI
Mobility
WebRTC
Edge over other players
Increase in goodwill
Enhances customer loyalty
Speed up the process of problem solving
Create a similar experience across the different channels
11. SPAN Infotech (India) Pvt. Ltd.
Example 2- Bank connects with business
11
Edge over other players
Increase in goodwill
Enhances customer loyalty
Speed up the process of problem solving
Create a similar experience across the different channels
Big Data
/BI
MobilityCustomer
in car
show room
Self service to
identify loan
eligibility
Use WebRTC to
talk to my bank
about details
Apply for Loan
Risk Profiling
Point of sale
finance
Take your car
home
Cloud
12. SPAN Infotech (India) Pvt. Ltd.
Your Journey - Sequential
12
Score card
you systems
Identify key
stakeholders for
SMART
transformation of
your bank
Take a
phased
approach
Go to
market
New version of
your bank
Customer
Centered
Design
Mobility
Big Data /
BI
Cloud/Web
solutions
CRM
Security
13. SPAN Infotech (India) Pvt. Ltd.
SPAN Overview
13
Offshore Centers Certified
– CMMI 5, PCMM 3
– ISO 9001:2008
– ISO 27001: 2005
Almost two decades in IT solution providing
Part of US$2.3 Billion Norwegian company
& 10,000+ employees
#7 in Best IT Employer in India
Banking & Finance
Insurance & Healthcare
Retail
Independent Software Vendors
Product Engineering Services
Application Management
Independent Testing Services
Enterprise Mobility
DW / Analytics
Remote Infrastructure Management Services
ERP
Relationship Model
– Management focus
– Governance team
Innovative Pricing
Tailored Business Models
Pavilion® Engagement Model
Stability
Domain
Technology
Client
Engagement
Processes
INTRODUCTION:
“Legacy” refers to existing IT assets that have been deployed in the past. These assets could have been installed anywhere from yesterday to twenty years ago, and in many cases, the legacy investment is running critical business processes. Legacy software and applications are often considered to be a ‘cash cow’ for the enterprise, generating unusually high profit margins and thus, are responsible for a large amount of a company’s operating profit. This profit typically far exceeds the amount necessary to maintain the legacy asset, and the excess is sometimes used by the company to fund other strategic initiatives. In addition, legacy software or applications may have come into the enterprise as a result of a merger or acquisition. In many cases, the people responsible for development and management of the application are no longer responsible for the life cycle” -- As per IBM
DRIVERS :
Loyalty has a powerful influence on a bank’s economics, because customers who become promoters stay longer with their primary bank, buy more products, often cost less to serve and recommend the bank to other people.
High Infrastructure, Hardware and Software costs.
Unavailable resources, new generation resistant to work on legacy systems.
Resistance to Agile, integration.
Vendors moving away to newer product portfolio.
Regulations and Rules keep changing, requiring to report more often and be accurate.
Payment Services - All these years, mainly from 1994 to 2000 , banking was evolving around ‘transactions and payments’ – Making payments through internet banking, that resulted in faster, more effective, and accurate payments services.
Along with this fundamental concepts, today’s banking requires
Optimized Product :
Digital eco system:
Intelligent Multi channel :
Customer centric model : Advisory tools and self service
Socially engaging :
Business System: Must receive input from all the stakeholders.
Environment: The various base-blocks on which the system runs.
Effectiveness: To what extent is it helping the staff.
Application: The factors that improve efficiency.
Organization: Coordinate with organizational goals, and decide a legacy method approach.
Low quality, low business value - These systems should be scrapped.
Low-quality, high-business value - These make an important business contribution, but are expensive to maintain; should be re-engineered or replaced if a suitable system is available.
High-quality, low-business value - Replace with COTS, scrap completely or maintain.
High-quality, high business value - Continue in operation using normal system maintenance.
Data: Redundancy leads to it being classified as a legacy system. Modern systems have low redundancy.
An organization collects data from all the stake holders as mentioned in the previous slide.
Business System: Must get inputs from all the stakeholders.
Environment: The various base-blocks on which the system runs.
Effectiveness: Analyze how much is it helping the staff.
Application: The factors that improve efficiency.
Organization: Coordinate with organizational goals; decide a legacy method approach.
Low quality, low business value - These systems should be scrapped.
Low-quality, high-business value - These make an important business contribution but are expensive to maintain; should be re-engineered or replaced if a suitable system is available.
High-quality, low-business value - Replace with COTS, scrap completely or maintain.
High-quality, high business value - Continue in operation using normal system maintenance.
Data: Redundancy leads to it being classified as a legacy system. Modern systems have low redundancy.