While 85% of People Analytics and AI projects currently fail due to data quality issues, a breakthrough in human capability indexing is transforming how organisations capture and structure their people data, frictionlessly and at scale.
This thought leadership examines the landscape behind these widespread failures and reveals how the shift from subjective opinions and scraped big data to structured human capability indexing changes everything. The core challenges, inconsistent data capture methods, fragmented data architecture, and the absence of validated measurement frameworks, have kept organisations from realising returns on their analytics investments. Until now.
Lumenai's approach addresses these foundational problems by introducing a frictionless method for collecting structured human capability data. By replacing manager opinions and data mining with scientifically validated, standardised indexing, organisations can finally build the robust data architecture needed for Predictive People Analytics and AI to deliver consistent value. This isn't just about better data, it's about creating a sustainable foundation that transforms people analytics from a costly experiment into a reliable driver of business performance and human capital optimisation.
Thought Leadership
How Human Capability Indexing Creates Access for Marginalised Groups - Guest blog by Ieman Aljak
The concept of education and access to opportunities has long been a debate. For UK citizens, we have been blessed with the opportunity to go to school for free and access opportunities that are meant to be open to all. But when it comes to the discussion of whether access is accessible, it’s met with varying opinions from different people.