Enterprise intelligence system is a set of complete options using technologies, processes and applications. As well as, it may well extract useful knowledge from completely different enterprise systems of an enterprise for storing, analyzing, and managing inside data. In general, enterprise intelligence (BI) system consists of three essential elements: full collection of knowledge, reasonable association and presentation of data, and supply of data to those that need it in a handy and efficient manner.
A BI system consists of the principles (structure) offering a framework for the group of the applied sciences, platforms, databases, gateways, people and processes. To implement an structure the Business Intelligence architect must implement an infrastructure. Technical infrastructures are the applied sciences, platforms, databases, gateways, folks and processes essential to make the architecture useful inside the company (Poe et al. 1998).
Enterprise intelligence menjelaskan tentang suatu konsep dan metode bagaimana untuk meningkatkan kualitas pengambilan keputusan bisnis berdasarkan sistem yang berbasiskan information. Koleksi knowledge mentah dapat diubah menjadi informasi dengan cara dianalisa dan disusun berdasarkan hubungan antara information dengan mengetahui information apa yang ingin dikumpulkan dan di dalam konteks apa yang diinginkan.
BI programs typically incorporate types of superior analytics, corresponding to knowledge mining, predictive analytics , textual content mining, statistical evaluation and big information analytics A common instance is predictive modeling that allows what-if evaluation of various enterprise situations. Typically, although, advanced analytics projects are carried out by separate groups of data scientists , statisticians, predictive modelers and different expert analytics professionals, while BI teams oversee extra straightforward querying and evaluation of enterprise knowledge.
Business intelligence is usually used interchangeably with enterprise analytics In different cases, enterprise analytics is used either more narrowly to confer with superior analytics or more broadly to incorporate each that and BI. In the meantime, knowledge analytics is primarily an umbrella time period that encompasses all types of BI and analytics purposes. That features the primary varieties of knowledge evaluation: descriptive analytics, which is usually what BI offers; predictive analytics, which fashions future behavior and outcomes; and prescriptive analytics, which recommends enterprise actions.