Quality early warning and proactive customer churn detection are two examples of applications that can benefit from insights gained from unstructured text data. The term “Unstructured Business Intelligence” describes methods and tools that enable data warehouse applications to use unstructured information. This article introduces the key components of Unstructured Business Intelligence and desc...

A two-warehouse inventory model with deteriorating items and rework process time varying demand rate is presented. The Last-In-First-Out (LIFO) First-In-First-Out (FIFO) policies are considered the assumption that holding cost higher in rented warehouse (RW) compared to owned (OW). aim of proposed determine optimum values a production cycle will minimise total relevant cost, TRC*. We have utili...

In this research work, a wholesaler-retailer-customer supply chain model for a deteriorating item is considered, where the retailer's warehouse in the market place has a limited capacity. The retailer can rent an additional warehouse (rented warehouse) if needed, with a higher rent compared to the existing warehouse (own warehouse). The customers' demand of the item is linearly influenced by th...

The increasing demands for interactive response time from the users makes query performance one of the central problems of Data warehouse systems today. Performance is an important quality aspect of Data warehouse systems. Predicting the performance of Data warehouse systems during early design stages of their development is significant. Software Performance Engineering(SPE) promotes the idea t...

The research aims to determine the relationship between two or more variables. Data collection with Literature and field questionnaires. result of that is influential in BAPPEDA Pemprov DKI Jakarta Business Intelligence variable, so it needs be prioritized given special attention its implementation field. method used associative research, designing Warehouse architecture, planning sources, dime...

Data warehousing encompasses architectures, algorithms, and tools for bringing together selected data from multiple databases or other information sources into a single repository, called a data warehouse suitable for direct querying or analysis. In recent years data warehousing has become a prominent buzzword in the database industry, but attention from the database research community has been...

The input data for a data warehouse, coming from operational systems, are not immediately ready for loading into data warehouse. Cleaning and integration could be necessary. Moreover, the input data must be transformed and translated into a format more suitable for analytical purposes. This paper presents a generalised platform for population of data warehouses named Data Warehouse Population P...