Unlike traditional BI, an operational BI system should be focused on influencing the interaction with your customer to provide benefit to both the customer and your business. Traditional BI, while often seen as a tool with a very fuzzy ROI, is nonetheless necessary for conducting business. Operational BI, on the other hand, provides a much clearer benefit because it directly addresses your business.
business processes and business rules capturing the operational logic and decisioning logic respectively.
To study this analysis, we first need to understand theory which is the basis of their analysis i.e. BWW. Representational analysis is basically comparing constructs of representation theory with the constructs of the modeling grammar. The two evaluation criteria used are ontological completeness which determines the extent of lack of constructs in modeling grammar and ontological clarity. Now BWW is the representational theory to represent real world and has been earlier used to benchmark many languages. SRML and SBVR are compared to BWW to benchmark their representational power.
Business intelligence has “invaded” the operational space in a big way, offering in-line analytics, real-time or near real-time decision-making support for all employees in the enterprise.
A key component of a company's IT framework is a business intelligence (BI) system. Traditional BI systems were designed for senior management and business analysts to report on, analyze and optimize business operations to reduce costs and increase revenues. Organizations use BI for strategic and tactical decision making where the decision-making cycle may span a time period of several weeks or months. Competitive pressures coming from a very dynamic business environment are forcing companies to react faster to changing business conditions and customer requirements. As a result, there is now a need to use BI to help drive and optimize business operations on a daily basis, and, in some cases, even for intraday decision making. This type of BI is called operational business intelligence and real-time business intelligence and it is used not only by senior management and analysts (as in traditional BI) but also by line of business managers and operational users. In other words this is BI for everyone.
This article discusses why business intelligence is often too closely associated with data warehousing and should be replaced by a concept such as decision intelligence, which could be considered a modern version of earlier decision support systems.
Embedded operational analytics help applications and business users take close to real-time action. However, there is another class of applications where even close to real-time analytics are not
sufficient.
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