1. Data and Analytics
Point of View

2. 2
Phil Antonelli
Dir. Business Strategy and Innovation
Xerox (soon to be CONDUENT) Learning Services
@pantonelli

3. Xerox Confidential
The Learning
Marketplace
3 May 15, 2017
Workforce skills are an essential element
to remaining competitive in today’s world.
Therefore, senior leaders expect learning
to positively impact business results, but
the ability to analyze that impact is
seldom realized.
Further, learners are expecting
personalized learning through access to
content anytime, anywhere, in a
meaningful way; but it is difficult for most
organizations to design and implement
this type of learning.

4. 4
link overall business
performance to skills
acquired through
learning programs.
Only
30%
of organizations
Source: McKinsey research, Learning & Building capabilities for performance, January 2015
Sound familiar?

5. 5 May 15, 2017
Current learning measurement methods aren’t working
It is time to rethink our approach and start fresh.

6. Xerox Confidential
Analytics
Where do you
spend your time
and effort?
6
Descriptive
Analytics
Collecting reliable, clear data to describe
what happened.
Diagnostic
Analytics
Using data modeling to infer knowledge
to help diagnose why it happened.
Predictive
Analytics
Using past data and advanced
analytics to predict what will happen.
Prescriptive
Analytics
Using advanced
analytics to
make it happen.
InformationOptimization

7. Data from
Learning
Systems
• LCMS
• LMS
• LRS
• Virtual Learning Platforms
• Video Platforms
• Survey Tools
This data is great but it
gets really interesting
when you add…
7

8. 8
Data from
Enterprise
Systems/Tools
• HRIS
• Talent Management Suites
• ERP
• Document Repositories
• Accounting
• CRM
• CMS
• SCM

9. 9 May 15, 2017
What has all this to do with xAPI?
Disregard the “x” – focus on the API
A standard to extract, transform, load (ETL) data

10. 10
Our Plan to Solve the Problem
Process
• Engage executive stakeholders
• Identify outcomes and develop performance
measures.
• Enterprise level
• BU level
• Program level
• Create and implement a data collection plan.
• Analyze the data.
• Communicate the results.
• Reflect, learn, take action (rinse and repeat).
ELT via xAPI
• SCORM
• People data
• Business data
• Other dataS
Analytics
Multiple Algorithms
• Neural Networks, Decision Trees,
AI, NLP, Support Vector Machines
Applied across learning and enterprise systems

11. Benefits to the Business
• Selecting employees who are mostly likely to meet the needs of the business.
• Reducing time to proficiency.
• Training initiatives that drive business outcomes.
• Identifying Hi-pos and prescribing personalized learning paths.
Benefits to the Learner
• Personalized learning paths that adapt content and experience based upon
role, preference, and interest.
• “Over the top” services that deliver context aware content to support point of
need learning.
Actions from Analytical Insights
11

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