Cloud-Based Analytics: Helping Banks Drive Digital Transformation
by Dynamix Group WriterMost organizations
have digital transformation as the core of their present corporate strategy.
The same is true for the retail and corporate banking sector. At the heart of
this transformation is the ability to develop actionable insights. The aim is
to gain useful, smarter, and accurate insights at a faster pace in the
competitive world and translate the same into action for the business.
How can that be
achieved, you may ask?
Big data consulting
services help organize all your
data in a manner that is accessible at any time, from any location, and in
context for a specific user. With smaller and agile providers entering the
banking market, the demand for a higher level of service facilitated by digital
experience that acts as a guide to make quick, smart decisions has increased.
Data-Driven Digital
Transformation:
Embedding data-driven
decision making and fostering digital business transformation require
redesigning of both internal and customer-facing processes. The integration of
intelligent automation and decision capabilities into their operations can help
the banks eliminate paperwork as well as manual processing. This enhances
customer service experience while also reducing the cost-to-serve to a bare
minimum.
The creation of
data-driven services is dependent on the ability to build, design, test, and
deploy processes that embed predictive models via new artificial intelligence
learning techniques and well-established statistical methods. The process
involves trying different approaches, testing the results, and iterating on the
candidates offering maximum potential.
Problem with Legacy
Infrastructure:
Bank’s traditional IT
architectures that are built around legacy on-premises systems are designed in
a manner that makes it difficult to forecast the type of infrastructure the
bank will require for upcoming projects. Different machine learning algorithms,
for instance, run best on hardware that has been specifically optimized for
that particular category of model building. A cluster of servers with a
particular configuration of memory and processors might only work well for a
small subset of work. Any attempt to change the approach might lead to high
fixed costs and longer lead time to get the right infrastructure.
Cloud-Based Analytics Promise:
The cloud gives you the freedom to spin up
any infrastructure in literally no time. It also enables scaling or shutting of
the business within minutes basis the results. You are freed from dependencies
on departmental silos and other quirks of your internal network when working in
cloud environments. Allowing the cross-functional teams to collaborate freely
enables you to build models that combine domain knowledge from different areas
of the bank and create opportunities that were impossible in the past.
The Right Tool for the Job:
A seamless transition can be achieved in a hassle-free manner with the help of the right data migration assistant. The banking industry has leveraged cloud for its unrivaled elasticity, scalability, and advanced analytics. When transforming analytics into the cloud, many banks are concerned with the effort, cost, time, and the risk involved.
Impetus has helped over 100 banks in successfully
transforming and securing their business on the cloud and provides one of the
best solutions for the job.
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Created on May 26th 2020 00:59. Viewed 400 times.