AmBank's Journey to Greater Insights with IBM PureData System for Analytics

Published on 16-Oct-2013

Customer:
AmBank

Industry:
Banking

Deployment country:
Malaysia

Solution:
PureData System for Analytics (powered by Netezza technology), PureSystems, Big Data & Analytics, Big Data & Analytics: Improve IT, Big Data & Analytics: Operations/Fraud/Threats

Overview

We are a mid-tired bank in Malaysia…so we have, you know, a few million customers. But this can transpire into hundreds of millions of records that need to be processed on a daily basis.

Business need:
We have operated fairly much in the Silo… drawing upon 27-30 different systems. And that is a massive task. It takes one to two years just to get the data cleansed and ready to put into some of our engines.

Solution:
The vision here is that with PureData that we can try and bring this into one platform and one environment for us to just make it much easier to do our compliance reporting and our analytics.

Benefits:
Now with the systems we put in place, we can actually monitor transactions on a daily basis and we can see if an account is doing something that it should not be…and this will then help us to analyze what is our risk pattern.

Video

Processing hundreds of millions of financial records daily generates massive amounts of data for Malaysia's AmBank, sometimes requiring up to two years to "clean" the data so it can be analyzed. James Mitchell, Head of IT Shared Services, explores what it's like to be a mid-tier bank dealing with the new challenges and opportunities created by this proliferation of data -- and how IBM PureData System for Analytics will allow AmBank to spot new trends and make better, more informed decisions for future initiatives. "Moving forward with PureData for Analytics, we can create a better value prop for the bank," explained Mitchell.




Video Transcript


We are a mid-tired bank in Malaysia…so we have, you know, a few million customers. But this can transpire into hundreds of millions of records that need to be processed on a daily basis. So performance is ultimately what we are looking for.

Ever since 2008, our central bank has been looking at getting a better picture of where we stand in terms of our credit risk and market risk as well as our provisioning needs.

We have operated fairly much in the Silo… drawing upon 27-30 different systems. And that is a massive task. It takes one to two years just to get the data cleansed and ready to put into some of our engines.

In Malaysia we are probably not as advanced as many of the western banking environments…but we are catching up very quickly.

The vision here is that with PureData that we can try and bring this into one platform and one environment for us to just make it much easier to do our compliance reporting and our analytics.

Prior to this, it was largely manual…And that didn’t lead to very accurate reporting. We need to have much clearer reporting on what our customers are doing. Who are our customers? Where are they coming from? And what are they doing with their money?

Now with the systems we put in place, we can actually monitor transactions on a daily basis and we can see if an account is doing something that it should not be…and this will then help us to analyze what is our risk pattern. If we have good reporting I can focus my people on doing some more value added work and I am personally excited about what we can do with this data. …

In PureData, we can mine it, and we can look at what are the trends.
Also moving forward and talking about mobile banking, social media- that’s a massive amount of data that you actually need to gather and then process and you can only really do that with something like PureData.

If we can leverage that it’s just securing the longevity of the bank. So moving forward with something like PureData we can really create a better value proposition for the bank.

Products and services used

IBM products and services that were used in this case study.

Software:
PureData System for Analytics (powered by Netezza technology)