Embedded analytics

Embedded analytics is the technology designed to make data analysis and business intelligence more accessible by all kinds of application or user.[1]

Definition

According to Gartner analysts Kurt Schlegel, in 2008 traditional business intelligence lacked integration and accessibility between data and users.[2] As a result, embedded analytics has been developed to become more pervasive by real-time autonomy and self-service of data visualization or customization.

Embedded analytics software delivers real-time reporting, interactive data visualization and/or advanced analytics, including machine learning, directly into an enterprise business application.[3] The data is managed by an analytics platform, and the visualizations and reports are placed directly within the application user interface.[3]

This is in contrast to traditional BI, which requires users to leave their workflow applications to look at data insights in a separate set of tools.[4] A December 2016 report from Nucleus Research found that using BI tools, which require toggling between applications, can take up as much as 1-2 hours of an employee’s time each week, whereas embedded analytics eliminate the need to toggle between apps.[5]

History

The term “embedded analytics” was first used by Howard Dresner: consultant, author, former Gartner analyst and inventor of the term “business intelligence”.[6] Consolidation of business intelligence “doesn’t mean the BI market has reached maturity” [7] said Howard Dresner while he was working for Hyperion Solutions, a company that Oracle bought in 2007. Oracle started then to use the term “embedded analytics” at their press release for Oracle Rapid Planning on 2009.[8] Gartner Group, a company for which Howard Dresner has been working, finally added the term to their IT Glossary on November 5, 2012. [9] In 2014, Dresner Advisory Services published “Embedded Business Intelligence Market Study” as part of the Wisdom of Crowds Series of Research, including 24 vendors.[10] Embedded BI (Business Intelligence) refers to the integration of business intelligence within business process applications or portals.[11]

References

  1. ^“AI and machine learning give new meaning to embedded analytics”. IT Pro Portal. Retrieved 2018-06-19.
  2. ^Kelly, Jeff. “Gartner Business Intelligence Summit: Embed BI within business processes”. TechTarget. Retrieved 24 April 2017.
  3. ^ Jump up to:ab “Gartner Doc”. www.gartner.com. Retrieved 2019-10-17.
  4. ^Staff, Izenda Editorial (2018-01-25). “What is Embedded Analytics?”. Izenda. Retrieved 2019-10-17.
  5. ^“Augmenting Intelligence with Embedded Analytics” (PDF). Nucleus Research.
  6. ^Kelly, Jeff. “Gartner Business Intelligence Summit: Embed BI within business processes”. TechTarget. Retrieved 24 April 2017.
  7. ^Dresner, Howard. “Howard Dresner predicts the future of business intelligence”. TechTarget. Retrieved 24 April 2017.
  8. ^“Oracle Announces Oracle® Rapid Planning”. Oracle. Retrieved 24 April2017.
  9. ^“Gartner IT Glossary: Embedded Analytics”. Gartner. Retrieved 24 April2017.
  10. ^“2014 Embedded Business Intelligence Market Study Now Available From Dresner Advisory Services”. Market Wired. Retrieved 24 April 2017.
  11. ^“Embedded Business Intelligence (Embedded BI)”.

 

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