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