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Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. [3] Typical applications of OLAP include business reporting for sales, marketing , management reporting, business process management (BPM), [ 4 ] budgeting and forecasting , financial reporting and similar ...
RN tools generally have associated analytical capabilities that enable evaluation of collaboration and cross-disciplinary research/scholarly activity, especially over time. RN tools and research profiling systems can help researchers gain recognition. Active promotion of scholarship is an aspect of the publication cycle.
Business intelligence software is a type of application software designed to retrieve, analyze, transform and report data for business intelligence (BI). The applications generally read data that has been previously stored, often - though not necessarily - in a data warehouse or data mart .
Guided analytics applications lie in the intersection between business intelligence and predictive analytics. A great number of business analysts rely on business intelligence tools to flexibly extract specific information from data. [1] It is often required to automatically run an analysis on the raw data before information can be extracted. [2]
Commercial intelligence (CI) is the process of defining, gathering, analyzing, distributing accurate, and relevant intelligence regarding the products, customers, competitors, business environment, and the organization itself. [1] This methodical program affects the organization's tactics, decisions and operations. [2]
Analytics is the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions." It is a subset of business intelligence, which is a set of technologies and processes that uses data to understand and analyze business performance to drive decision-making .
In contrast to that, business informatics researchers mainly focus on the creation of IT solutions for challenges they have observed or assumed, and thereby they focus more on the possible future uses of IT. [3] Tight integration between research and teaching following the Humboldtian ideal a major goal in