As international competition intensifies, more and more organizations are finding themselves under the mounting pressure to improve productivity and marketing strategy. Decision making is considered as one of the important factor in this task. The emphasis is mostly given towards the use of IT for individual functions. However, in the last few years, there has been an increasing recognition of the potential of Information System in improving productivity through organizational redesign and integrating cross functions. The purpose of this study is to develop an Adaptive Business Intelligence model for manufacturing industry which integrates cross functions. During the past few decades, organizations have strived to improve their decision – making capability by collecting and storing more and more data. The Business Intelligent (BI) tool is responsible for converting this data to usable knowledge. But having the knowledge is not sufficient for the managers to take right decision. Adaptive Business Intelligence (ABI) is a tool which helps managers to take right decisions. Assigning meaning to data, deriving knowledge from data, building the appropriate model from and about the data, and deriving optimal management decision support are the key activities to support manufacturing industries in business process from all fields of the process chain, including R&D, technical design, control, production, quality control and strategic management. This set of key activities are summarized under the term Adaptive Business Intelligence (ABI). In this research we will propose an Adaptive Business Intelligence (ABI) model for manufacturing industries which will help the managers to take business decisions correctly by considering cross functional view of the system. The proposed model will mask the heterogeneity in different functions and provides a single view to its users of the manufacturing industry.

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Business Intelligence (bi) Adaptive Business Intelligence (abi) Cross Functional Integration (cfi)