Azinta Systems has Partnered with KPI to Use The Decision Model for Regulatory Compliance

Financial services organisations are faced with a tsunami of global regulations, The Decision Model reduces implementation complexity and costs by linking the decisions required for compliance with models of the business logic used in the decisions
 
1 2 3
The Decision Model
The Decision Model
Oct. 18, 2011 - PRLog -- London

Azinta Systems has signed a strategic partnership agreement with Knowledge Partners International LLC (KPI) to provide consultancy services based on KPI business logic framework The Decision Model and the associated methodologies, KPISTEP and FirstSTEP, with a special focus on regulatory compliance for financial services organisations.

“Today's financial services organisations are facing a tsunami of multiple and overlapping global regulations from EU, USA and Asia-Pacific.  The challenges are two-fold; first, what are the most effective ways of executing operational business decisions and still be in compliance. Secondly, what are the strategic decisions that an organisation can take regarding these regulations so that by implementing them the company gains a competitive advantage?” said Suleiman Shehu,  CEO, Azinta Systems.

“The answer to both questions requires the identification, modelling and execution of the business logic required to power the decisions that will implement  and comply with the regulations, as well as those strategic business decisions required to take advantage of the regulations to transform the business. And the key to both is The Decision Model” said Suleiman Shehu.

The Decision Model is a fundamental breakthrough in business logic modelling and is based on the seminal book “The Decision Model: A Business Logic Framework Linking Business and Technology” by Larry Goldberg and Barbara von Halle the joint managing partners of KPI.  

The Decision Model brings the normalisation concepts from the Relational Model to the domain of business logic and enables the inferential relationships between rules families to be modelled in a technology independent way based on the inherent structure of business logic.  

“The beauty of the Decision Model is that it links these inferentially linked rule families with the business decisions that are derived from the business logic and does so using a graphical notation that is directly executable within current rules engines” continued Suleiman Shehu.

Figure 1 gives a high-level view of The Decision Model and shows the connecting rule families that are inferentially linked to each other and to a business decision. The inferential relationships are required to conform to a number of integrity constraints.

Figure 2 shows the same decision model as in Figure 2 but with the rule families expanded to reveal the underlying rule tables that must conform to certain  normalisations principles as outlined in Figure 2.

Figure 3 shows an example of the synergy that exists between process models and The Decision Model which leads to a significant reduction in the complexity of process models. This occurs when business logic is removed from process models and modelled using Decision Models that are executed as Decision tasks within a rules engine.

The Decision Model  applications are not just limited to regulatory compliance and include other areas such as risk management, operational risk, pricing, business processes in fact any area where business logic is used to drive strategic and operational decisions

For an overview and live tutorial on The Decision Model see post on Azinta Systems Blog

For further information see Azinta Decision Model Regulatory Compliance solutions


About Azinta Systems
Azinta Systems is a systems, product and consultancy company dedicated to using innovative technologies to solve complex business problems. Azinta is the developer of the APADO Business Agility Platform which delivers the Six Levers of Business Agility.

Azinta works in partnership with its clients and each engagement has a clear objective to achieve one or more of the following: a reduction in client costs, increase in client sales revenue or shareholder value. Azinta Systems Limited is privately held company incorporated Isle of Man with offices in Ramsey and London.  http://www.azinta.com


About Knowledge Partners International LLC
Knowledge Partners International, LLP (KPI) is the thought leader and innovator in the field of Business Decision Management, Decision Modelling and Requirements Elicitation. We empower many of the Global 1,000 companies to discover, organise and manage their business decisions. The KPISTEP methodology uses fewer resources, and is faster, more reliable, and more transparent than any other business rules approach. It enables lower cost system development and transformation and ensures the shortest time to market, compared to any other approach. The company has added a new focus on Requirements, using the evolutionary framework and methodology called FirstSTEP. KPI’s Clients now solve the critical problems that plague many projects: incomplete or inaccurate requirements, and the resulting poor communication between business and IT. KPI methodologies are independent of technology, and work in both waterfall, iterative, and agile approaches.

Many of KPI’s clients see their adaptation of the company's methodologies as one of their key competitive advantages in a market place driven by increasingly complex and fast moving business decisions and challenging IT projects. KPI provides project leadership to help organizations implement KPISTEP and FirstSTEP. Training, certification, mentorship and knowledge transfer ensure that clients become quickly self sufficient in these capabilities. http://www.kpiusa.com

Photos:
https://www.prlog.org/11698882/1
https://www.prlog.org/11698882/2
https://www.prlog.org/11698882/3
End
Source:
Email:***@azinta.com Email Verified
Phone:+44 845 658 6909
Zip:NW2 6DW
Tags:Financial Services Regulatory Compliance, Operational Risk, Risk Management, Solvency Ii, The Decision Model
Industry:Banking, Insurance, Finance
Location:London City - London, Greater - England
Account Email Address Verified     Account Phone Number Verified     Disclaimer     Report Abuse
Page Updated Last on: Oct 19, 2011



Like PRLog?
9K2K1K
Click to Share