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  2. Embedded analytics - Wikipedia

    en.wikipedia.org/wiki/Embedded_analytics

    This setup enables easier, in-depth data analysis without the need to switch and log in between multiple applications. Embedded analytics is also known as customer facing analytics. Embedded analytics is the integration of analytic capabilities into a host, typically browser-based, business-to-business, software as a service, application. These ...

  3. Social media analytics - Wikipedia

    en.wikipedia.org/wiki/Social_media_analytics

    The product of ad hoc analysis is typically a report or data summary. A deep analysis implies an analysis that spans a long time and involves a large amount of data, which typically translates into a high CPU requirement. [2] Domain of Analysis: The domain of the analysis is broadly classified into external social media and internal social media.

  4. Looker (company) - Wikipedia

    en.wikipedia.org/wiki/Looker_(company)

    The product grew out of Tabb's experience building software at companies like Netscape, LiveOps, and Luminate before founding Looker. Looker makes use of a simple modeling language called LookML that lets data teams define the relationships in their database so business users can explore, save, and download data with only a basic understanding ...

  5. Behavioral analytics - Wikipedia

    en.wikipedia.org/wiki/Behavioral_analytics

    Amazon.com is a leader in using behavioral analytics to recommend additional products that customers are likely to buy based on their previous purchasing patterns on the site. [5] Behavioral analytics is also used by Target to suggest products to customers in their retail stores, while political campaigns use it to determine how potential ...

  6. Amazon Kinesis - Wikipedia

    en.wikipedia.org/wiki/Amazon_Kinesis

    Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]

  7. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Thomas Davenport, professor of information technology and management at Babson College argues that business intelligence should be divided into querying, reporting, Online analytical processing (OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and ...

  8. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

  9. Social network analysis software - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis...

    networksis provides tools for simulating bipartite networks with fixed marginals; multiplex offers tools for the analysis of multiple social networks with algebra; migraph provides tools for analysing multimodal and multilevel networks; netdiffuseR was designed for the analysis of network diffusion of innovations (and diffusion in general);