Intelligent customer relationship management (ICRM) by EFLOW portal

Customer relationship management (CRM) has become a strategic initiative aimed at getting, growing, and retaining the right customers. A great amount of numeric data and even more soft information are available about customers. The strategy of building and maintaining customer relations can be described with 'if… then' rules acquired from experts. Doctus Knowledge-Based System provides a new and simplified approach in the field of knowledge management. It is able to cope with tacit and implicit rules at the same time, so decision makers can clearly see the satisfactory solution (then and there). It reasons both deductive and inductive, so it enables the user to check on the model graph why is the chosen solution in the given situation most appropriate. It is upgradeable with in telligent portal, which presents the personalized (body-tailored) information for decision makers. When we need some hard data from a database or a data warehouse, we have automatic connection between case input interface and the database. Doctus recognizes the relations between the data, it selects them and provides only the needed rules to the decision maker. Intelligent portal puts our experience on the web, so our knowledge base is constantly improving with new 'if… then' rules. We support decision mak ing with two interfaces. On the Developer Interface the attributes, the values and the 'if… then' rules can be modified. The intelligent portal is used as a managerial decision support tool. This interface can be used without seeing the knowledge base, we only see the personalized soft information. ICRM (intelligent Customer Relationship Management) helps customer to get the requested information quickly. It is also capable of customizing the questionnaires, so the customer doesn't have to answer irrelevant questions and the decision maker doesn't have to read endless reports

Reduce Response Time: Get Hooked on a Wiki

Managing the flow of information both within the IT department and to our customers is one of our greatest challenges in the Office of Technology Information at Valparaiso University. To be successful, IT staff first need to acquire the right information from colleagues to provide excellent service. Then, the staff must determine the most effective way to communicate that information to internal and external customers to encourage the flow of information. To advance the IT department’s goals, how best can we utilize “information” and “communication” vehicles to exchange information, improve workflow, and ultimately communicate essential information to our internal and external customers? We’ve asked ourselves this question and have resolved that “information” and “communication” need to work cooperatively! How better than with a wiki? Recent changes in departmental structure gave us the opportunity to examine our communication vehicles—specifically the software tools we use to facilitate the flow of information. Our previous knowledge base, First Level Support, a module of the HEAT support software produced by FrontRange Solutions, once met our needs as an internal knowledge base solution. We realized we had outgrown FLS and needed a more robust alternative. Our student employees asked for a newer, more interactive method of sharing information. With the assistance of our UNIX systems administrator, we investigated various options and decided to implement the MediaWikiTM system. As we had anticipated, use of this wiki system reduced the response time a customer must wait for an answer to their inquiry. What we didn’t realize was that utilization of the wiki would meet many more needs than we had anticipated. It has also helped us meet other departmental needs, such as increased collaboration, an online knowledge base, and a training tool for staff. Come see how a sprinkle of pixie dust improved communication through adoption of the wiki, and brought information to the forefront of our operations

Knowledge Representation Concepts for Automated SLA Management

Outsourcing of complex IT infrastructure to IT service providers has increased substantially during the past years. IT service providers must be able to fulfil their service-quality commitments based upon predefined Service Level Agreements (SLAs) with the service customer. They need to manage, execute and maintain thousands of SLAs for different customers and different types of services, which needs new levels of flexibility and automation not available with the current technology. The complexity of contractual logic in SLAs requires new forms of knowledge representation to automatically draw inferences and execute contractual agreements. A logic-based approach provides several advantages including automated rule chaining allowing for compact knowledge representation as well as flexibility to adapt to rapidly changing business requirements. We suggest adequate logical formalisms for representation and enforcement of SLA rules and describe a proof-of-concept implementation. The article describes selected formalisms of the ContractLog KR and their adequacy for automated SLA management and presents results of experiments to demonstrate flexibility and scalability of the approach.Comment: Paschke, A. and Bichler, M.: Knowledge Representation Concepts for Automated SLA Management, Int. Journal of Decision Support Systems (DSS), submitted 19th March 200

Pursuing the Peak of Excellence: Wiki as a Knowledge Base

The pursuit of excellent communication is a path not easily navigated. Challenges arise at every turn, and the greatest obstacle of all is ensuring availability and accuracy of information. Help Desk representatives are the first point of contact for customers placing technology requests and they must have a broad range of knowledge about services provided by the department. A large amount of time is spent in training staff members to achieve the desired level of expertise. At Valparaiso University these staff members are students, adding to the complexity of information sharing as these staff members are only employed for a few years before graduating and entering “the real world.” Having a knowledge base is one way to reduce the amount of time needed to train staff members, as information is easily accessible. The Valparaiso University IT Help Desk has been on an ongoing journey to find a knowledge base and after investigating different solutions we have settled on a wiki. At SIGUCCS’07 we described the process of selecting our solution and our anticipated use of the wiki. By October 2008 we will have had over one year of using the wiki, including populating data, keeping it up-to-date, and training staff on its use. Come and look at the journey we have traveled thus far and explore with us the growing potential of this tool as the map of the terrain grows larger with each passing week

Delivering knowledge in the field: A telecommunications service provision and maintenance case

This paper proposes a novel approach to providing knowledge management services in a business process wherein field engineers are the main process actors, providing and maintaining telecommunications services. Cooperating multi-agents play a central role for the provision of knowledge management services by integrating heterogeneous systems to collect related knowledge for the execution of mobile tasks. The proposed system is expected to increase both the performance of the mobile workforce and customer satisfaction by supporting and encouraging knowledge sharing

Product Configuration Systems: State of the Art, Conceptualization and Extensions

Product configurators are considered to be among the most successful applications of artificial intelligence technology. In this paper, we determine different conceptualizations of configurators and condense them in a comprehensive morphological box, which should support configurator designers as well as decision makers in selecting the right system. The analysis of the criteria according to which configurators that are designed thus far reveals a neglect of the front-end perspective. Therefore, it is relevant to extend configurators with a front-end component assisting customers during product configuration through advisory. We develop a framework describing the main requirements on an advisory system and propose the technical infrastructure for its implementation. Finally, the advisory system and the configurator are integrated into a comprehensive interaction system.product configurators; advisory system; product personalization

Information Outlook, October 2003

Volume 7, Issue 10https://scholarworks.sjsu.edu/sla_io_2003/1009/thumbnail.jp