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{{Short description|Application software to read and analyze stored data}}
'''Business intelligence software''' is a type of [[application software]] designed to retrieve, analyze, transform and report data for [[business intelligence]]. The applications generally read data that has been previously stored, often - though not necessarily - in a [[data warehouse]] or [[data mart]].
'''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==
==History==
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The first comprehensive business intelligence systems were developed by [[IBM]] and [[Siebel Systems|Siebel]] (currently acquired by [[Oracle Corporation|Oracle]]) in the period between 1970 and 1990.<ref >{{cite news | title =History of Business Intelligence Software| publisher =business-intelligence.financesonline.com| url =https://business-intelligence.financesonline.com/#history | access-date =28 October 2018}}</ref><ref >{{cite news | title =A Detailed Look At The History Of Business Intelligence Software| publisher =comparecamp.com| url =http://comparecamp.com/detailed-look-history-business-intelligence-software | access-date =28 October 2018}}</ref> At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays.<ref>[http://www.oracle.com/us/support/licensecodes/siebel/siebel-crm-bi-integration-166917.html "Integrating Oracle Business Intelligence / Siebel Analytics with Siebel CRM"], ''oracle.com'',.</ref>
The first comprehensive business intelligence systems were developed by [[IBM]] and [[Siebel Systems|Siebel]] (currently acquired by [[Oracle Corporation|Oracle]]) in the period between 1970 and 1990.<ref >{{cite news | title =History of Business Intelligence Software| publisher =business-intelligence.financesonline.com| url =https://business-intelligence.financesonline.com/#history | access-date =28 October 2018}}</ref><ref >{{cite news | title =A Detailed Look At The History Of Business Intelligence Software| publisher =comparecamp.com| url =http://comparecamp.com/detailed-look-history-business-intelligence-software | access-date =28 October 2018}}</ref> At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays.<ref>[http://www.oracle.com/us/support/licensecodes/siebel/siebel-crm-bi-integration-166917.html "Integrating Oracle Business Intelligence / Siebel Analytics with Siebel CRM"], ''oracle.com'',.</ref>


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 available 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|United States of America]].<ref>[http://onlinelibrary.wiley.com/doi/10.1002/9780470238004.fmatter/pdf "Applied Multiway Data Analysis"], ''onlinelibrary.wiley.com'',.</ref>
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 available 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|United States of America]].<ref>{{cite book | chapter-url=http://onlinelibrary.wiley.com/doi/10.1002/9780470238004.fmatter/pdf | doi=10.1002/9780470238004.fmatter | chapter=Frontmatter | title=Applied Multiway Data Analysis | series=Wiley Series in Probability and Statistics | date=2008 | isbn=978-0-470-16497-6 }}</ref>


===Cloud-hosted business intelligence software===
===Cloud-hosted business intelligence software===
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.<ref>[http://www.compudata.com/cloud-bi/ "Cloud BI: 5 Benefits of Cloud Business Intelligence"], ''compudata.com'',.</ref>
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.<ref>[http://www.compudata.com/cloud-bi/ "Cloud BI: 5 Benefits of Cloud Business Intelligence"] {{Webarchive|url=https://web.archive.org/web/20180929150346/http://www.compudata.com/cloud-bi/ |date=2018-09-29 }}, ''compudata.com'',.</ref>


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 have recently begun releasing mobile-specific product applications for both [[Android (operating system)|Android]] and [[iOS]] users.<ref>[http://searchbusinessanalytics.techtarget.com/feature/Mobile-business-intelligence-brings-benefits-and-barriers "Mobile business intelligence brings benefits -- and barriers"], ''searchbusinessanalytics.techtarget.com'',.</ref> 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.
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 have recently begun releasing mobile-specific product applications for both [[Android (operating system)|Android]] and [[iOS]] users.<ref>[http://searchbusinessanalytics.techtarget.com/feature/Mobile-business-intelligence-brings-benefits-and-barriers "Mobile business intelligence brings benefits -- and barriers"], ''searchbusinessanalytics.techtarget.com'',.</ref> 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.
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* [[BIRT Project]], by the [[Eclipse Foundation]]
* [[BIRT Project]], by the [[Eclipse Foundation]]
* [[D3.js]]
* [[D3.js]]
* [[JasperReports]]
* [[KNIME]]
* [[KNIME]]
* [[Orange (software)|Orange]]
* [[Orange (software)|Orange]]
* [[Pentaho]]
* [[Pentaho]]
* [[R (programming language)|R]]
* [[TACTIC (web framework)|TACTIC]]
* [[TACTIC (web framework)|TACTIC]]
* [[Apache Superset|Superset]]
⚫
* [[Grafana]]


== Open source commercial products ==
== Open source commercial products ==
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<!-- Do not list product without articles or add external links, they will be removed. -->
<!-- Do not list product without articles or add external links, they will be removed. -->
* [[Business Intelligence Markup Language|Biml - Business Intelligence Markup Language]]
* [[Business Intelligence Markup Language|Biml - Business Intelligence Markup Language]]
* [[Datacopia]]
⚫
* [[icCube]]
* [[InetSoft]]
* [[InetSoft]]
* [[Splunk]]
* [[Splunk]]
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* [[Comarch]]
* [[Comarch]]
* [[Crystal Reports]]
* [[Crystal Reports]]
* [[Chartio]]
* [[Data Applied]]
* [[Data Applied]]
* [[Datorama]]
* [[Decision Support Panel]]
* [[Decision Support Panel]]
* [[Dimensional Insight]]
* [[Dimensional Insight]]
* [[Domo (company)|Domo]]
* [[Domo (company)|Domo]]
* [[Dundas Data Visualization]]
* [[Dundas Data Visualization]]
* [[Google Data Studio]]
* [[GoodData]] - cloud-based
* [[GoodData]] - cloud-based
* [[Looker Studio]] - cloud-based
* [[Grapheur]], implementing the [[reactive business intelligence]] (RBI) approach
* [[IBM]] [[Cognos]]
* [[IBM]] [[Cognos]]
* [[icCube]]
* [[InetSoft]]
* [[InetSoft]]
* [[Information Builders]]
* [[Information Builders]]
* [[InfoZoom]]
* [[InfoZoom]]
* [[JackBe]]
* [[JackBe]]
* [[Jaspersoft]]
* [[Jedox]]
* [[Jedox]]
* [[Klipfolio Dashboard]]
* [[Klipfolio Dashboard]]
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* [[LiveChat]]
* [[LiveChat]]
* [[Logi Analytics]]
* [[Logi Analytics]]
* [[Looker_(company)]]
* [[Looker (company)|Looker]]
* [[Metatron Discovery]]
* [[Metatron Discovery]]
* [[Microsoft]]
* [[Microsoft]]
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* [[Pentaho]] (now [[Hitachi Data Systems]])
* [[Pentaho]] (now [[Hitachi Data Systems]])
* [[Pervasive Software|Pervasive DataRush]]
* [[Pervasive Software|Pervasive DataRush]]
* [[Phocas Software]]
* [[Plotly]]
* [[Plotly]]
* [[PolyAnalyst]]
* [[Qlik]]
* [[Qlik]]
** [[QlikView]]
** [[QlikView]]
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* [[Teradata]]
* [[Teradata]]
* [[FOCUS#WebFOCUS|WebFOCUS]]
* [[FOCUS#WebFOCUS|WebFOCUS]]
* [[Wolfram Alpha | Wolfram Alpha Enterprise]]
* [[XLCubed]]
* [[XLCubed]]
* [[Zendesk]]
* [[Zendesk]]
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* [[Zoomdata]]
* [[Zoomdata]]
}}
}}

== See also ==
⚫
* [[List of reporting software]]


==References==
==References==
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{{DEFAULTSORT:Business Intelligence Tools}}
{{DEFAULTSORT:Business Intelligence Tools}}
[[Category:Business intelligence]]
[[Category:Business intelligence software| ]]
⚫
[[Category:Business software]]

Latest revision as of 12:15, 17 December 2024

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 available 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 have 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:

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]

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
  • TACTIC: reporting, management, dashboard, data mining and integration, workflow capabilities

Proprietary free products

[edit]

Proprietary products

[edit]

See also

[edit]

References

[edit]
  1. ^ "History of Business Intelligence Software". business-intelligence.financesonline.com. Retrieved 28 October 2018.
  2. ^ "A Detailed Look At The History Of Business Intelligence Software". comparecamp.com. Retrieved 28 October 2018.
  3. ^ "Integrating Oracle Business Intelligence / Siebel Analytics with Siebel CRM", oracle.com,.
  4. ^ "Frontmatter". Applied Multiway Data Analysis. Wiley Series in Probability and Statistics. 2008. doi:10.1002/9780470238004.fmatter. ISBN 978-0-470-16497-6.
  5. ^ "Cloud BI: 5 Benefits of Cloud Business Intelligence" Archived 2018-09-29 at the Wayback Machine, compudata.com,.
  6. ^ "Mobile business intelligence brings benefits -- and barriers", searchbusinessanalytics.techtarget.com,.
  7. ^ Exploring Data Warehouses and Data Quality Published by Spotless Data Retrieved 15 May, 2017]
  8. ^ Exploring Data Analysis Published by Spotless Data Retrieved 15 May, 2017]
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