An intelligence engine is a type of enterprise information management that combines business rule management, predictive, and prescriptive analytics to form a unified information access platform that provides real-time intelligence through search technologies, dashboards and/or existing business infrastructure. Intelligence Engines are process and/or business problem specific, resulting in industry and/or function-specific marketing trademarks associated with them. They can be differentiated from enterprise resource planning (ERP) software in that intelligence engines include organization-level business rules and proactive decision management functionality.
History
editThe first intelligence engine application appears to have been introduced in 2001 by Sonus Networks, Inc. in their patent US6961334 B1.[1] Applied to the field of telecommunications systems, the intelligence engine was composed of a database queried by a data distributor layer, received by a telephony management layer and acted upon by a facility management command & control layer.[1] This combined standalone business intelligence tools like a data warehouse, reporting and querying software and a decision support system.
The concept was reinforced in 2002 in patent application US20030236689 A1[2] which applied predictive quantitative models to data and used rules to correlate context data at different stages of the business process with business process outcomes to be presented to end users.[2]
LogRhythm Inc. advanced the concept in 2010 by adding event managers to the end of the intelligence engine's process to determine reporting, remediation and other outcomes.[3]
Traits
editAs a system that combines human intelligence, data inputs, automated decision-making and unified information access, intelligence engines are an advancement in business intelligence tools because they:
- integrate structured data and unstructured content in a single index[4]
- provide advanced workflow automation that can trigger multiple business processes[5]
- project future impact of data[6] such as supply chain threats[7]
- recommend best actions[8] / highlight opportunities for process improvement[9]
- leverage business intelligence from a variety of experts[6]
- scale data visualization capabilities with the number of users[10]
Applications
editSee also
editReferences
edit- ^ a b US patent 6961334, Kaczmarczyk, Casimer M, "Intelligence engine", issued 2005-11-01
- ^ a b US application 20030236689, Casati, Fabio; Sayal, Mehmet & Guadalupe Castellanos, Maria et al., "Analyzing decision points in business processes", published 2003-12-25
- ^ US application 2012131185, Petersen, Chris; Villella, Phillip & Aisa, Brad, "Advanced Intelligence Engine", published 2012-05-24
- ^ "Attivio Applies Predictive Analytics to Indexed Data". 12 February 2014. Retrieved 22 July 2016.
- ^ a b "Salesforce Unveils Service Cloud Intelligence Engine—Fueling Smarter Customer Service for the Connected World" (Press release). Salesforce.com. Retrieved 22 July 2016.
- ^ a b "Inbound Logistics Magazine May 2016" (PDF). Retrieved 22 July 2016.
- ^ "KPMG Spectrum". Retrieved 22 July 2016.[permanent dead link]
- ^ "CustomerMatrix Unveils First-Ever Cognitive Intelligence Engine for CRM". Retrieved 22 July 2016.
- ^ a b "Process Intelligence Engine (PIE)". Retrieved 22 July 2016.
- ^ "A Big Data User Experience". October 2015. Retrieved 22 July 2016.
- ^ "Active Intelligence Engine (AIE) Case Study: General Electric" (PDF). Retrieved 22 July 2016.
- ^ "KPMG Spectrum: Action through Intelligence". Retrieved 22 July 2016.[permanent dead link]
- ^ "FIREEYE THREAT INTELLIGENCE ENGINE". Archived from the original on 2 August 2016. Retrieved 22 July 2016.
- ^ "Factiva – The Intelligence Engine" (PDF). Archived from the original (PDF) on 7 December 2015. Retrieved 22 July 2016.