This document discusses analytics journeys for several organizations. It describes how a major UK healthcare provider integrated learning and incident data from existing systems into Excel reports to monitor compliance and risk. It recommends embracing rigorous data standards and expanding analytics inside and outside the organization. The document also outlines analytics projects for automotive manufacturers to integrate talent and operational data across business units and a European bank to analyze training costs and efficacy.

1. Rory Stewart
Consultancy Practice Leader
Case studies

2. Analytics journey
• Export learning &
competency data from LMS
into Excel pivot tables
• Integrate raw data from the
company’s incident logging
system
• Process Excel files and
create compliance & risk
management reports
• Schedule report distribution
to all levels in the
organisation
Lessons learned
• Start with existing data
• Start with tools you already
know
• Demonstrate impact across
the organisation
Next steps
• Embrace more rigorous data
standards & business
intelligence platform
• Expand compliance & risk
analytics both inside &
outside the organisation
(e.g. to regulatory bodies)
• Integrate data relating to
patient outcomes &
satisfaction
Major healthcare provider in the UK

3. Global automotive
manufacturer
• Regional and organisational
KPIs linking back to training
& talent data (e.g. by
dealership or by country or
by car model)
• Reliance on in-house data
analyst
Global automotive
manufacturer
• Integrate talent & operational
performance data such as
sales revenue and customer
satisfaction
• Integrate data across
different business units and
geographical regions
Global automotive
manufacturer
• Integrate talent,
organisational & gamification
data around training
Global automotive manufacturers

4. Global bank from Europe
• Integrate training delivery and training cost data
• Focus on training efficacy metrics (e.g.
Kirkpatrick model analysis)
Financial eLearning
provider in the US
• Make training analytics (metrics & reports)
available to their own clients as a key
differentiator
• Building in-house analytics expertise