Lucidworks Receives Highest Scores in 3 of 4 Use Cases in 2019 Gartner Critical Capabilities for Insight Engines

“By 2023, the number of knowledge workers in the world will increase to 1.14 billion,” according to Gartner.¹

In an increasingly complex digital workplace, it is essential for employees to operate in context, harness tribal knowledge and increase their effectiveness via the proactive delivery of insight. By 2023, more than one third of knowledge workers worldwide will use insight engines – double the number using them in 2018.

AI has transformed the digital workplace, enabling employees to extract accurate and deep understanding from varied content sources and gain insights from ever-increasing amounts of data. However, Insight Engines have expanded the traditional delivery of search into additional applications such as digital commerce.

Gartner recently published an important piece of research – the October 2019 Gartner Critical Capabilities for Insight Engines. Gartner Critical Capabilities research complements the Gartner Magic Quadrant by providing deeper insight into the vendors’ product or service offerings by identifying which ones best fit various use cases. As companion research we believe, Magic Quadrants and Critical Capabilities offer a market and product/service view that provides powerful insight to organizations making major technology decisions.

The Gartner Critical Capabilities report evaluated 15 Insight Engine vendors across 11 capabilities and scored  them in four separate use cases. After conducting this analysis, Gartner scored Lucidworks the highest in three of four use cases. These use cases include:

External (website) Search: This use case covers “site search within and across the enterprise’s public-facing and multichannel digital presence.”*

Insight Applications: This use case refers to “delivery of insight to digital workers within the context of custom-made or third-party applications.”*

Extraction of Data for Analytics: By 2020, 50% of analytical queries either will be generated via search, natural language processing or voice, or will be automatically generated2. “This use case involves deriving data from indexed content for the purposes of analysis and reporting, either within the insight engine or via syndication to other applications.”*

Internal  (Intranet Search): This use case covers “enterprise-wide search within the digital workplace.”*

Thirty-four of the Fortune 100 rely on the Lucidworks Platform to improve insight discovery to enable the digital workplace, or to provide their ecommerce customers with a better online experience. Lucidworks customers include: Verizon, Lenovo, Red Hat, Reddit, Uber and the US Census.

*Gartner Critical Capabilities for Insight Engines, Stephen Emmott, Saniye Alaybeyi, Anthony Mullen, 20 November 2019

Gartner Magic Quadrant for Insight Engines, Stephen Emmott, Saniye Alaybeyi, Anthony Mullen, 17 September 2019

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This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Commvault.

1 Forecast Analysis: Insight Engines, Worldwide  24 September 2019, Craig Roth, Hai Swinehart, Stephen Emmott

2 Magic Quadrant for Insight Engines, 17 September 2019