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.
History[edit] Development of business intelligence software[edit]The first comprehensive business intelligence systems were developed by IBM and Siebel (currently acquired by Oracle) in the period between 1970 and 1990.[1][2] At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays.[3]
In 1988, specialists and vendors organized a Multiway Data Analysis Consortium in Rome, where they considered making data management and analytics more efficient, and foremost ailable to smaller and financially restricted businesses. By 2000, there were many professional reporting systems and analytic programs, some owned by top performing software producers in the United States of America.[4]
Cloud-hosted business intelligence software[edit]In the years after 2000, business intelligence software producers became interested in producing universally applicable BI systems which don’t require expensive installation, and could hence be considered by smaller and midmarket businesses which could not afford on premise maintenance. These aspirations emerged in parallel with the cloud hosting trend, which is how most vendors came to develop independent systems with unrestricted access to information.[5]
From 2006 onwards, the positive effects of cloud-stored information and data management transformed itself to a completely mobile-affectioned one, mostly to the benefit of decentralized and remote teams looking to tweak data or gain full visibility over it out of office. As a response to the large success of fully optimized uni-browser versions, vendors he recently begun releasing mobile-specific product applications for both Android and iOS users.[6] Cloud-hosted data analytics made it possible for companies to categorize and process large volumes of data, which is how we can currently speak of unlimited visualization, and intelligent decision making.
Types[edit]The key general categories of business intelligence applications are:
Spreadsheets Reporting and querying software: applications that extract, sort, summarize, and present selected data Online analytical processing (OLAP) Digital dashboards Data mining Business activity monitoring Data warehouse[7] Local information systems Data cleansing[8]Except for spreadsheets, these tools are provided as standalone applications, suites of applications, components of Enterprise resource planning systems, application programming interfaces or as components of software targeted to a specific industry. The tools are sometimes packaged into data warehouse appliances.
Open source free products[edit] Apache Hive, hosted by the Apache Software Foundation BIRT Project, by the Eclipse Foundation D3.js JasperReports KNIME Orange Pentaho Superset Grafana Open source commercial products[edit] JasperReports: reporting, analysis, dashboard Palo: OLAP server, worksheet server and ETL server Pentaho: reporting, analysis, dashboard, data mining and workflow capabilities Proprietary free products[edit] Biml - Business Intelligence Markup Language InetSoft Splunk Proprietary products[edit] ActiveReports Actuate Corporation BOARD Comarch Crystal Reports Data Applied Datarails Decision Support Panel Dimensional Insight Domo Dundas Data Visualization GoodData - cloud-based Looker Studio - cloud-based IBM Cognos InetSoft Information Builders InfoZoom JackBe Jaspersoft Jedox Klipfolio Dashboard Kyvos Lastorm Analytics LIONsolver List & Label LiveChat Logi Analytics Looker Metatron Discovery Microsoft SQL Server Reporting Services SQL Server Analysis Services PerformancePoint Server 2007 Proclarity Power Pivot Power BI MicroStrategy Oracle Hyperion Solutions Corporation Business Intelligence Suite Enterprise Edition Panorama Software Pentaho (now Hitachi Data Systems) Pervasive DataRush Plotly PolyAnalyst Qlik QlikView Qlik Sense RapidMiner Roambi RW3 Technologies SAP NetWeer Business Intelligence Business Objects Sisense SAS Siebel Systems Spotfire (now Tibco) Sybase IQ (now SAP IQ) Tableau Software TARGIT Business Intelligence Teradata WebFOCUS XLCubed Zendesk Zoho Analytics (as part of the Zoho Office Suite) Zoomdata See also[edit] List of reporting software References[edit] ^ "History of Business Intelligence Software". business-intelligence.financesonline.com. Retrieved 28 October 2018. ^ "A Detailed Look At The History Of Business Intelligence Software". comparecamp.com. Retrieved 28 October 2018. ^ "Integrating Oracle Business Intelligence / Siebel Analytics with Siebel CRM", oracle.com,. ^ "Frontmatter". Applied Multiway Data Analysis. Wiley Series in Probability and Statistics. 2008. doi:10.1002/9780470238004.fmatter. ISBN 978-0-470-16497-6. ^ "Cloud BI: 5 Benefits of Cloud Business Intelligence" Archived 2018-09-29 at the Wayback Machine, compudata.com,. ^ "Mobile business intelligence brings benefits -- and barriers", searchbusinessanalytics.techtarget.com,. ^ Exploring Data Warehouses and Data Quality Published by Spotless Data Retrieved 15 May, 2017] ^ Exploring Data Analysis Published by Spotless Data Retrieved 15 May, 2017] vteData warehousesCreating a data warehouseConcepts Database Dimension Dimensional modeling Fact OLAP Star schema Snowflake schema Reverse star schema Aggregate Single version of the truth Variants Column-oriented DBMS Data hub Data mesh Ensemble modeling patterns Anchor modeling Data vault modeling Focal point modeling HOLAP MOLAP ROLAP Operational data store Elements Data dictionary/Metadata Data mart Sixth normal form Surrogate key Fact Fact table Early-arriving fact Measure Dimension Dimension table Degenerate Slowly changing Filling Extract, transform, load (ETL) Extract, load, transform (ELT) Extract Transform Load Using a data warehouseConcepts Business intelligence Dashboard Data mining Decision support system (DSS) OLAP cube Data warehouse automation Languages Data Mining Extensions (DMX) MultiDimensional eXpressions (MDX) XML for Analysis (XMLA) Tools Business intelligence software Reporting software Spreadsheet RelatedPeople Bill Inmon Information factory Ralph Kimball Enterprise bus Dan Linstedt Products Comparison of OLAP servers Data warehousing products and their producers