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EAI Putting Data and Business Process Integration in Context
Putting Data and Business Process Integration in Context
By: Paola Lubet
Apr. 22, 2003 12:00 AM
Concerns about economic efficiency and risk reduction always weigh heavily on IT organizations as they embark on the implementation of any new technology. This is especially true when integrating enterprise applications that must operate over intranets and the Internet. While seamless integration and across-the-board automation may be highly visible IT goals, the business process needs of employees, customers, business partners, and suppliers are equally important. All enterprise constituents must be able to rapidly access knowledge and resources based on their role, function and need - and they must be able to get this information in an intuitive and contextual manner. This rigorous set of demands dictates that a new breed of technology solutions be used to simplify the integration of multivendor business applications and vast amounts of decentralized data. Historically, CIOs wanting to integrate their data and business processes have had to select individual user portal, enterprise application integration (EAI), and data warehousing technologies. Once all the products were purchased, substantial amounts of custom programming had to be performed to fit the technologies together, let alone scale them and enable operation in real time. This explains why more than one third of the total IT budget can be exhausted on application integration and customization. A new generation of pre-integrated platform has emerged to address this portal, data, and business process dilemma. Achieving equilibrium between technologies and business processes - while realizing greater economic efficiency at reduced risk - has prompted IT organizations to seek out new and better solutions that provide application integration, data warehousing, and user portal frameworks. The latest generation of standards-based suites pre-integrate these functions through Web services, and support the applications and middleware of third-party vendors, thereby offering the mechanisms needed to balance the enterprise's business process and technology requirements. Bringing Together People, Processes, and Data By using off-the-shelf and pre-integrated suites, enterprise data and business processes can be brought into equilibrium quickly. Highly customizable user portals can be created that allow customers, suppliers, partners, and employees to intuitively access and use information in the context of their roles and responsibilities. Enterprise applications, legacy systems, and business processes become functional in ways that help people analyze business scenarios using consistently warehoused data, thereby allowing them to make better-informed decisions faster. Because enterprise knowledge and information is digitized and readily accessible, reliance on traditional information transfer approaches such as writing notes, making multiple data entries, or working through intermediaries can be nearly eliminated. Information can flow seamlessly across business applications, delivering speed and improved accuracy. This provides economic efficiency and gives users greater confidence in the integrity of their information (see Figure 1).
![]() Open Infrastructure Frameworks Portals and Processes Implementing advanced portal features can further simplify and streamline the interaction between users and processes. Using intelligent context management, additional valuable information can be identified and presented to a user performing a specific task. For example, if an accounts receivable employee were to query and pull up customer accounts containing outstanding and overdue bills, they could view key performance indicators (KPIs) about those customers to determine if sending a collections notice would impact pending sales opportunities. All pertinent and consolidated intelligence would be presented via the portal and a better-informed credit decision could be made. Integration Engines Power Data and Business Processes Integration engines are designed to understand the semantics and manage the use of business objects in order to interpret and process essential information. Categories include, but are not limited to, roles, security, and languages that drive how the enterprise's systems infrastructure works with portals, applications, processes, and data. From employee hiring to manufacturing, shipping, billing, and servicing customers, integration at the business process level is essential and it must be cohesive. For example, integrated business processes with embedded business objects would know how to interpret and handle multiple currency fields and language-sensitive content. This process-with-objects approach obviates the need for expensive low-level programming while providing faster system response and greater informational continuity. Coupling Data Warehousing with Analytics This enterprise-level warehousing approach consolidates global data to create a single information source that feeds current performance information to the users' desktop dashboards. This way, the central data warehouse can become the enterprise's core business intelligence platform. From it, multidimensional analyses can be performed on data regardless of its point of origin. Applying business analytics, dynamic and forward-looking business processes can be adopted, allowing the enterprise to overcome its traditional reliance on historical data as the primary decision support mechanism. By coupling the data warehouse with business analytics, enterprise constituents can be given a global view of quantitative data based on their job function and be provided with the qualitative means to efficiently interpret it, analyze it, and put it to work. As a result, business functions can be brought into better alignment through improved visibility, future events can be better anticipated, and courses of action can be altered quickly to meet opportunities as they arise. This rapid access to reliable information allows employees, customers, partners, and suppliers to make confident business decisions in ways that cross software, systems, and enterprise boundaries. Further, from a financial perspective the management and maintenance of multiple information repositories can be reduced through consolidation of the infrastructure investment. Summary Reader Feedback: Page 1 of 1
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