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SAP NetWeaver Product Management SOA - 1 -
© 2008 SAP AG
Enterprise SOA with SAP
NetWeaver
Business Rules Management
Roadmap
SAP NetWeaver Product Management SOA
Disclaimer:
This document is not subject to your license agreement or any other agreement with SAP. It
contains only intended strategies, developments, and functionalities of the SAP® product and
is not intended to be binding upon SAP to any particular course of business, product strategy,
and/or development. Please note that this document is subject to change and may be
changed by SAP at any time without notice. SAP assumes no responsibility for errors or
omissions in this document.
About this paper:
This road map document should help to understand the strategic direction of SAP in the area of Business Rules
Management under the overall umbrella of Enterprise SOA technology. It is therefore part of an overall SOA technology
roadmap. For a complete picture, please refer to the roadmaps for SAP NetWeaver Composition Environment (CE),
SAP NetWeaver Business Process Management (BPM) and SOA Middleware.
The paper contains the following parts:
1. Evolution of Business Rules Management
2. Typical Customer Challenges
3. Definition - what is Business Rules Management?
4. Business Rules Management Accelerates Business Process Management
5. Building Blocks of SAP NetWeaver Business Rules Management
Business Rules Modeling and Implementation
Business Rules Testing and Refinement
Business Rules Execution and Justification
End-to-End Change Management
6. Value Proposition of Business Rules Management
7. SAP NetWeaver Business Rules Management - Roadmap Highlights
8. Summary
Contact:
rajagopalan.narayanan@sap.com
SAP NetWeaver Product Management SOA - 2 -
© 2008 SAP AG
Evolution of Business Rules Management
Decision Support Decision Automation
Decision Alignment
Expert Systems
Rule Engines
Change Management
Business Alignment
1990s 2000s 2010s
‘BRM 2.0‘ and beyond
Business Rules Management
(BRM) and Business Process
Management (BPM) convergence
BRM and Business Intelligence (BI)
convergence
BRM and Complex Event
Processing (CEP) convergence
Simulations and replays
Optimization and alignment
Integrated rules and process
analytics
Key Business Drivers
Business Agility
Faster decisions
Business user control
Accurancy and consistency
Business Alignment
Align decisions with business
goals
Business Transparency
Need for transparent
business
Compliance requirements
‘BRM 1.0‘
Rules externalization
First rules engines
Application Configuration
Change Management
Decision Support
Expert Systems
Hardwired business rules
Introduction
SAP has been facilitating businesses for more than 35 years by helping streamline business software and align
software requirements for companies all around the world. In our very competitive era, organizations need to achieve
agility when responding to changing business requirements in today‟s dynamic market conditions.
Business Rules are critical enterprise assets that are very dynamic in nature. Managing fast changing business rules
across different software systems and business functions has become more challenging than ever today.
Business rules management (BRM) as a management discipline helps business organizations standardize and
optimize their business rules in order to achieve greater visibility, centralization and consistency in key business
decisions.
Business rules management (BRM) as a technology helps organizations create the technical framework (or software
products) to compose, execute, deploy manage business rules spanning across various business applications used by
different departments within an organization.
BRM technology provides considerable added value for a service-enabled platform via securing return of investment
and minimizing business risks:
Reduced coordination requirements
Transparency and centralization
Flexibility and agility at an „atomic level‟
SAP NetWeaver Product Management SOA - 3 -
© 2008 SAP AG
The Evolution of Business Rules Management (BRM)
Business rules management (BRM) emerged as a discipline from the areas of Artificial Intelligence and Expert Systems.
BRM forms part of a class of intelligent systems called rule-based systems. Other kinds of intelligent systems include
neural networks (used in predictive analytics and data mining), fuzzy logic, genetic algorithms, etc.
The late 1990s saw the birth of a new breed of intelligent systems called rules engines, which provided value by
enabling externalization and automation of business logic.
In the mid 2000s, businesses required focus shift from plain decision automation to management of rules and rules
driven decisions. This shift has started with and brought increasing adoption and awareness. As rules increase by
volume in an organization and as business users show more and more active interest in influencing operational
business decisions, the need to manage growing sets of business rules, while continuously optimizing processes for
achieving performance goals, has come to the forefront.
Major unique business drivers of BRM in the overall SAP strategy:
Although rules engines drive decision automation they have been in the „realm‟ of IT only up to now. BRM brings
immense benefits across the value chain, offering to business user‟s visibility and control of critical operational
business rules that drive day to day business decisions on the way of achieving corporate performance goals.
Achieve business agility through faster decisions that are precise and consistent, firmly controlled by
business. Enable stable business functions and at the same time allow for dynamic changes at the speed of
business.
Align operational business decisions and business rules driving them up with organizational KPIs and
corporate goals while involving business users.
Ensure transparency and compliance in all cases of urgent business requirements or government
requirements, enabling decision consistency, as well as informed decision making.
BRM 2.0 and beyond
In today‟s fast pacing business world, organizations require innovative end-to-end perspective on business rules
management („BRM 2.0 and beyond‟). The future trend is to provide businesses with new methods/technology to help
them gain agility on an „atomic‟ level and align their operational business rules with overall strategic business goals.
This may be seen as convergence of various disciplines: Business Rules Management (BRM) with Business Process
Management (BPM), Business Intelligence (BI) and Real Time Event Processing (also called CEP) where BRM
together with BPM become critical components of Enterprise SOA.
From a market perspective BRM functionality in the Enterprise SOA context brings huge benefits to SAP existing and
new customers in the following ways:
Business Rules Management is an accelerator for Business Process Management - rapid modeling and
deployment of rules-enabled composites & business processes.
Business Rules Management aligned with Real Time Event Processing (also called CEP). Examples of back-up
business scenarios are in fraud detection, Service Level Agreement (SLA) monitoring, etc.
BRM capabilities supporting business users end-to-end from business rules capturing, modeling, simulation,
refining and optimization for improved and controlled alignment with business goals - rules services for end-to-
end consumption and collaborative business user rules management.
Actionable + integrated process and rules analysis
SAP NetWeaver Product Management SOA - 4 -
© 2008 SAP AG
Typical Customer Challenges
Zero visibility into business decisions
Business has no visibility into how systems take decisions
Critical business rules are locked in code or databases
Change resistant IT systems
Business rules can be very volatile
Hardwired business rules make change difficult for IT
Unacceptably long testing and change cycle times
High costs of correction and rework
Scattered knowledge
Business rules not centrally managed
Scattered across code, manuals and as tacit knowledge
Inadequate, ambiguous and inconsistent business rules across the
Enterprise
High risk of compliance violation
Typical Customer Challenges
Business Rules are ubiquitous, and organizations typically employ conventional techniques for their automation and
management. Customers end up facing some typical challenges when they adopt such an approach. Here is a
summary of such challenges.
Lack of visibility into how applications enforce business rules
When business rules are implemented in code, an IT system may become a big black box. Business cannot
look into the system and „see‟ how rules are being implemented to drive to particular business decisions.
Business rules implemented using conventional methods tend to get hidden across code, databases, manuals,
spreadsheets and other documents. Duplicated business rules maintained in multiple repositories are less likely
to be discovered which may lead to inconsistency and even failure to meet important regulation requirements.
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