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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 .
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 ...
This List of SDG targets and indicators provides a complete overview of all the targets and indicators for the 17 Sustainable Development Goals. [1][2] The global indicator framework for Sustainable Development Goals was developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed upon at the 48th session of the United Nations Statistical Commission held in March 2017.
SQL Server Data Tools for Business Intelligence (SSDT BI) reduces the RDL (Report Definition Language) component to graphic icons in a GUI (Graphical User Interface). In this way, instead of writing code, the user can drag-and-drop graphic icons into an SSRS report format for most aspects of the SSRS report.
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 .
Some business intelligence tools enable the user to create an annotation within the report that explains the trend. Such an annotation can enhance other users' understanding of the data. This example is especially powerful because it is created by a business user for the use of other business people.
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]
In business intelligence, data classification is "the construction of some kind of a method for making judgments for a continuing sequence of cases, where each new case must be assigned to one of pre-defined classes." [1] Data Classification has close ties to data clustering, but where data clustering is descriptive, data classification is ...