Solution: Financial Capital Reporting

Client: LNG producer

We were tasked to enhance the client's financial reporting process for their group of companies, by developing a financial reporting process for their group of companies, a financial reporting solution based on the IBM Cognos TM1 software platform.

The solution enabled automation of the client's financial reporting process. It has enabled better reporting to the management, the board of directors and holding companies. It also provides ease in preparation of ad hoc reporting. In addition, the solution provides a centralised database repository for financial and operational data, facilitates multi-dimensional analysis as well as interactive reporting for all levels of users.

Solution: Credit scoring

Client: Building society

We were tasked to build a credit scoring model for its mortgage financing business.

In developing the model, we had to extract and cleanse the data relating to mortgage loans. Thereafter, the parameters best representing the default probability of the loans were statistically derived. There parameters were then assigned with scores, so as to ascertain the likelihood of default for new loan applications.

We enabled the building society to transition from a judgement-based credit scoring approach to a more data driven and statistical-based credit scoring approach, via the solution that we developed. This has resulted in greater accuracy in assessing a potential customer, to support the decision in granting applicants's credit.

Solution: Risk and performance attribution

Client: Investment manager

Our project at a local investment management company involved the development of a risk solution, using the Expectation Maximisation model engine. The solution contained several performance attibution features, which are included together with the risk analytics. Other features included together with the risk analytics. Other features include reporting capabilities for the investment managers of the company.

The solution enabled the client to monitor the performance of its finds periodically, as well as able to assess the risk exposure of the respective funds placed under it. Furthermore, it helped the organisation in managing the risks that it has undertaken and assures its clients of the security of their fund placements.

Solution: Dashboard

Client: Government agency

We were engaged by the fisheries development board to develop a dashboard solution for the strategic monitoring of fisheries activities in Malaysia.

The solution entailed extraction and aggregation of data from various internal databases, so that they are presented on a dashboard for the management and board.

Solution: Credit scoring

Client: Building society

We were tasked to build a credit scoring model for its mortgage financing business.

In developing the model, we had to extract and cleanse the data relating to mortgage loans. Thereafter, the parameters best representing the default probability of the loans were statistically derived. There parameters were then assigned with scores, so as to ascertain the likelihood of default for new loan applications.

We enabled the building society to transition from a judgement-based credit scoring approach to a more data driven and statistical-based credit scoring approach, via the solution that we developed. This has resulted in greater accuracy in assessing a potential customer, to support the decision in granting applicants's credit.

Solution: Dashboard

Client: Government agency

We were engaged by the fisheries development board to develop a dashboard solution for the strategic monitoring of fisheries activities in Malaysia.

The solution entailed extraction and aggregation of data from various internal databases, so that they are presented on a dashboard for the management and board.