News story

Learning Pool announces addition of ‘Insights’ to its learning suite, powered by Sisense, Inc.

Derry, Northern IrelandLearning NewsLearning Pool

Building on a market-leading reputation for harnessing data in the search for better learning solutions, Learning Pool is pleased to announce that it is embedding Sisense to add ‘Insights’ to its portfolio; the next step in Learning Analytics.


Sisense is the leading AI-driven platform for infusing analytics everywhere. Named by Gartner as a Visionary in the 2021 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, Sisense goes beyond the dashboard by providing organizations with the customization and personalization they need to drive meaningful and actionable intelligence in any application or workflow, to the right person, at the right time, every time. 

Learning Pool is embedding Sisense to combine the power of its leading AI-driven analytics cloud platform with the world’s most-widely installed Learning Record Store (LRS), Learning Locker. With more than a billion data points under management, Learning Pool customers use Learning Locker to help them manage their learning records. Culminating in a valuable new addition to the Learning Pool suite, ‘Insights’, today’s announcement will see the power of this granular learning data combine with Sisense’s AI capabilities to bring personalization and automatic intelligence. 

Launching in 2021, for both the Learning Pool LMS and Stream LXP, Insights will create AI-powered, expertly-designed dashboards built specifically for learning data analysis. By presenting accessible, adaptable and actionable visualizations that are grouped together as meaningful dashboards, Insights will provide clients with actionable guidance about the past, current and potential future performance of their learning ecosystem and learners. 

Anna Lloyd, Director of Product at Learning Pool said, “We’re extremely excited to be announcing this collaboration with Sisense today. Data and learning analytics are a big part of both our heritage and our future here at Learning Pool, and this collaboration allows us to offer best-in-class BI-powered learning data analysis to our customers, without the need to license another tool.”

Asaf Tsur, Regional Vice President, West EMEA at Sisense also said: “We applaud companies like Learning Pool that are innovating and differentiating their products by adding deeply embedded analytics to create better experiences and deliver the value of AI-powered insights to their customers. He continued, “we’re thrilled to collaborate with such a leader in online learning to build the next-generation e-learning platform, leveraging data, analytics, and domain expertise to directly correlate learning investments to business outcomes”.

This latest integration is a true testament to Learning Pool’s commitment to bring cutting edge technology into the Learning Analytics space. Awarded The Queens Award for Enterprise Innovation in 2019, Learning Locker has led the learning industry in open-source data capture and analysis since 2015. The collaboration with Sisense comes hot on the heels of Learning Pool’s Learning Analytics Maturity Model (LAMM), designed to help businesses assess where they are in their learning analytics journey compared to their peers. 

Ben Betts, CEO of Learning Pool commented, “once again, Learning Analytics has appeared among the top three in the results of Donald H Taylor’s L&D Global Sentiment Survey which confirms just how important data is to organizations. But our research into Learning Analytics Maturity has shown that most organizations are struggling to move into systematic analysis and predictive capabilities with their data. By investing with Sisense, the experts in AI-powered Business Intelligence, Learning Pool will enable its customers to make this next leap in Learning Analytics Maturity within the LP Suite.”

More details on Insights will be shared in the coming months but if you’d like more information or have any questions, please contact your Learning Consultant.