Business Intelligence 2.0 (BI 2.0) is a development of the existing business intelligence model that began in the mid-2000s, where data can be obtained from many sources. The process allows for querying real-time corporate data by employees but approaches the data with a web browser-based solution. This is in contrast to previous proprietary querying tools that characterized previous BI software.

The growth in service-oriented architectures (SOA) is one of the main factors for the development of BI 2.0, which is intended to be more flexible and adaptive than normal business intelligence. Data exchange processes also differ, with XBRL (Extensible Business Reporting Language), Web Services , and various Semantic Web ontologies enabling the use of data external to an organization, such as benchmarking-type information. In addition, BI 2.0 facilitates the integration of real-time data, allowing businesses to react to market changes more swiftly than traditional systems. This has made BI 2.0 particularly valuable in industries requiring rapid decision-making, such as finance and e-commerce.

Business Intelligence 2.0 is believed to have been named after Web 2.0, although it takes elements from both Web 2.0 (a focus on user empowerment and community collaboration, technologies like RSS, and the concept of mashups), and the Semantic Web, sometimes called "Web 3.0" (semantic integration through shared ontologies to enable easier exchange of data).

According to analytics expert Neil Raden, BI 2.0 also implies a move away from the standard data warehouse that business intelligence tools have used, which "will give way to context, contingency, and the need to relate information quickly from many sources."^[1]

• Enterprise bookmarking – method of applying tags to data and content to improve enterprise searchPages displaying wikidata descriptions as a fallback
• Linked data – Structured data and method for its publication
• Object-based – programming languagePages displaying wikidata descriptions as a fallback
• Ontology alignment – Process of determining correspondences between concepts in ontologies
• Relationship extraction – type of text miningPages displaying wikidata descriptions as a fallback
• Semantic grid
• Semantic Web Rule Language – Language to express rules and logic with semantic web (SWRL)
• Semantic wiki – Wiki that implements semantic web
• Spreadmart – Spreadsheet data mart
• Synonym ring – set of one or more words or phrases that are synonyms, having the same meaning, representing a single conceptPages displaying wikidata descriptions as a fallback

• Don Tapscott – Canadian businessmanPages displaying wikidata descriptions as a fallback
• David Weinberger – American philosopher (1950-)

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• Mehta, Sanjay (2008). "BI 2.0 Technology - MAIA Intelligence Perspective". www.maia-intelligence.com. Archived from the original on 2008-05-19.
• Nelson, Greg (2010). "Business Intelligence 2.0: Are we there yet?" (PDF). SAS Global Forum 2010.
• Robinson, Brian (2010). "Web mashups put transparency to the test". Federal Computer Week. Archived from the original on 2011-10-03. Retrieved 2010-01-23.
• Seely Brown, John (2006). "The Agile Dance of Architectures – Reframing IT Enabled Business Opportunity" (PDF). johnseelybrown.com.
• Seely Brown, John (2006). "Break On Through to the Other Side: A Missing Link in Redefining the Enterprise" (PDF). johnseelybrown.com.
• Seely Brown, John (2006). "Service Grids: The Missing Link in Web Services" (PDF). johnseelybrown.com.
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• Ziesche, Soenke (2006). "Semantic Wikis and Disaster Relief Operations". xml.com.

• Reinhard, Ulrike (2008). "Intrinsic Motivation Will Play a Major Role (Ulrike Reinhard spoke with John Seely Brown (JSP)". blog.whoiswho.de. Archived from the original on 2008-02-17.