Our Excellence - Knowledge Management & ITs Applications

Project

Fostering success through managing expectations

Core Development Areas

Artificial intelligence, business intelligence, and computational intelligence space

Introduction

Businesses today are increasingly organized, managed and automated around sets of processes. These processes include development and production of products and services, managing interaction with customers and supporting processes such as accounting and human resources. In coming times it will become increasingly unlikely for vendors to introduce major process automation applications without including significant Business Intelligence capabilities.

Information fuels the new economy and plays an essential role in developing and maintaining a sustainable competitive advantage. The demands on a business today - increased global competition, lower barriers to entry, lower profit margins - are creating an ever-increasing need for access to data. The ability to get the right information to the right people at the right time is, therefore, more important than ever; however, the sheer volume of available data makes such a proposition more challenging than ever. Organizations that are the most successful at collecting, evaluating and applying information are consistently the leaders in their respective industries. The ability to act faster and more effectively than the competition can be the defining advantage in today's marketplace and the means for successfully managing customer relationships in the long run.

IIME focus to develop Business intelligence (BI) capabilities as well as specialty business intelligence tools and applications, which will help vendors automate the process and thus development of Manpower and the Society.

Historically, Business I intelligence technologies were primarily used as part of data warehouse projects, which focused on post-operational (after-the-fact) analysis of highly aggregated data. Business Intelligence technologies are now used on data with varying degrees of latency, from real time to historical, and with varying degrees of aggregation, from the traditional highly aggregated data to individual transactions. The scope of Business Intelligence has significantly broadened in recent times.

IIME focuses on development of Business Intelligence on two dimensions: time and data aggregation. Business Intelligence development will be used to monitor business processes and generate alerts, event notifications and thus enhance business capabilities and development of the Society.

The goal of this research is to extend the spectrum of the integration of knowledge management to the focus of business intelligence.

• Knowledge representation methods for BI
• Choice of methods in BI
• Customizing BI-methods
• Knowledge management-driven BI-modeling
• Model validation in BI
• Result interpretation of BI-models
• (case based) Representation of BI-application scenarios
• Generalizing BI-application scenarios
• Representation of process knowledge in BI
• Fields of application for software agents
• Fields of application for elearning and tutorial systems
• Incentive systems to activate the cooperation among method- and subject-specialists

*******************************