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1
Industries in Transition:
A Framework for Data-centric
Innovations in Banking

2
The banking industry, like many others, is going through
a time of uncertainty with many pressing challenges:
rising competition from non-traditional competitors,
growing regulatory and compliance requirements, legacy
modernization, high customer churn.
The effects of these challenges include:
• Personal Data: 54% of customers would provide their personal data in return
for
relevant offers
• Open, API-enabled Services: A 55% boost in banking revenue is expected in
2020 from new opportunities created by open API-enabled services
• Real-time Offers: 54% of consumers expect banks to deliver contextual real-
time offers based on their location
• Rising Startups: $4.7 trillion in annual revenue is being diverted from
traditional
financial services companies to fintech startups
This ebook captures emerging trends in banking and proposes a strategy for
addressing current challenges while continuing to innovate and evolve.
54%
Customers who would
provide their personal data
in return for relevant offers
55%
Boost in banking revenue
expected in 2020 from new
opportunities created by
open API-enabled services
54%
Consumers expecting
banks to deliver contextual
real-time offers based on
their location
$4.7Trillion in annual revenue
being diverted from
traditional financial
services companies to
fintech startups

3
The Banking Industry: In Transition
Current industry trends and challenges are sculpting the banking
services landscape in unprecedented ways. Leaders have had to
implement and innovate in the following ways:
3
Modernized Digital Core:
Competing with digital-
only banks requires financial
institutions to optimize
operations and transition
to an automated and
cloud-native ecosystem for
improved time to market
and agility.
Personalization at Scale:
The goal is to create
engaging experiences by
driving 1:1 personalization for
customers in real time using
the intelligence acquired
across customer data points.
Automated Monitoring
and Alerting:
Banking services are a
critical part of the fabric of
society, and ensuring optimal
performance with real-time
notifications of any significant
event is a necessity.
Detecting Anomalies for
Fraud and Abuse:
Growing complexity in
core banking systems and
processes has meant that
detecting and adjudicating
fraud and claims is difficult
and labor intensive.
Building New Business
Models and Ecosystems:
API-enabled partnerships to
realize new revenue streams,
and the growth of neobanks,
have provided both an
opportunity and a threat for
traditional banks.
Agility for Compliance:
Evolving regulations mandate
an ecosystem that can
adapt seamlessly to changes
with minimal disruption to
core processes.











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Open Banking Innovation: 5 Technologies for Creating an Unfair Advantage
Previously, technologies needed for open banking disruption were either
extremely expensive or required an army of developers; Now, they are readily
available—open source technologies, like Hadoop, Spark, Kafka, and open source
data science.
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CONTACT US
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Industries in Transition: A Framework for Data-centric Innovations in Bankingpdf
Open Banking Innovation: 5 Technologies for Creating an Unfair Advantagepdf
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