Regional Bank Data Mining

To develop a data mining process for a regional bank


To design a platform that would follow the Bank’s security, quality and development standards, which could collect information through a data mining process using neural networks to be classified, transformed and presented in an understandable way to improve financial decision making.

We were brought in to integrate a third party platform in order to pull official government-backed information to get insights about the clients’ financial background.


Our solution

The communication between machines of different kinds sometimes cause troubles and inaccurate signal decoding results.
Advancements in technology – including machine-to-machine communications between smart sensors, referred to as ‘The Internet of Things’. For example, appliances in the home that can be monitored and controlled wirelessly by the homeowner wherever they are.
The potential market for servers and networking equipment development is still unstable and shrinks every year.
Market development – increasing market share in new markets such as servers and networking equipment. ARM’s technology is well placed to provide lower power options to transport, distribute, analyze and store data across the internet.
Demand for energy efficient technology – the market demands high performance products using low power technology.
This case study will demonstrate how ARM’s strategies contribute to the achievement of its business vision, aims and objectives using an integrated approach focusing on innovation, its people and its network of partners.


The third party platform was solidly integrated into the platform in two weeks time which was something their own development teams could not reliably achieve.
Our process
During our Discovery phase our R&D department came up with an innovative solution to overcome the third party platform issues and reliably integrate it to feed the solutions built for Banregio.
Our involvement
We met with the product owner and reviewed the challenges they faced to implement this solution in the past. Evaluated the key information needed from the other platform and implemented all the business logic in their internal architecture. This solutions provided enough insights about prospective clients to authorize credits in less than 1 hr as compared to 1 or 2 business days.
Technologies implemented
AngularJS, Java Spring, Microservices.

Data visualization in an Efficient interface