Presentation on Learning Impact at Learning Technologies 2020

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Learning Technologies 2020
Learning
Impact
Andy Wooler
Strategist, Global Learning Strategic Solutions
February 2020

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• % of people completing
Compliance courses
• “Bums on seats”
• Number of people trained
How do you report today?

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A data lake is a system or repository of data stored in its natural/raw format,
usually object blobs or files. A data lake is usually a single store of all
enterprise data including raw copies of source system data and transformed
data used for tasks such as reporting, visualization, advanced analytics and
machine learning. A data lake can include structured data from relational
databases (rows and columns), semi-structured data ( CSV, logs, XML, JSON),
unstructured data (emails, documents, PDFs) and binary data (images, audio,
video).
The Data Lake Solution

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Learning & Performance Data
increasingly doesn’t sit in one place:
• Separate Performance Management
applications
• New content providers such as Udemy
without SCORM or integration into the
LMS
• xAPI Learning Record Stores (LRS).
• Video platforms with richer usage data
such as Brightcove
• New delivery platforms such as
MindTickle
Why is a data lake important?

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• The data tables we now have need to be joined to establish the
relational database schema that will power any resulting analysis or
reporting requirements
• It is at this point that we can start to look at how to join LMS data to data
from other sources such as SFDC
• User and organization provisioning into the LMS from SFDC for
Customers and Partners means we already hold data that is common to
both the LMS and SFDC
So, the data is now in the data lake.
What’s next?

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Managing a Partner Program

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Strong correlation between course
completions and the number of
opportunities per rep
A. 45% of sales reps (349) completed
0 courses for this product 2 years.
‒ 72% of this group has zero
opportunities.
B. 2% of sales reps (19) completed
4 courses in 2 years
‒ 3X more opps per rep.
‒ The ability to close deals shows a
4X improvement
Sales Opportunities – An Example

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Correlation vs. Causation!
Data sources: National Vital Statistics Reports and U.S. Department of Agriculture
Image source: https://www.tylervigen.com/spurious-correlations

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• Do we now all need to be Data
Scientists?
• What is a “Citizen Data
Scientist”?
• How many of you are “Citizen
Data Scientists”?
New Skills Needed in L&D to Achieve This
A “Citizen Data Scientist” is simply a
normal person with a passion for data.
This is someone who is focused on
business problems and is looking for
immediate answers. This community of
users is growing 5x faster than trained
data scientists. A big reason for the
change is that machine learning and
artificial intelligence processes are
becoming “drag-and-drop,” making it
much easier for anyone interested in
gleaning insight from data to dig in.
https://us.hitachi-solutions.com/blog/hitachi-solutions-conference-takeaways/

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• Know your business goals!
• Understanding of the data fields in the LMS data tables.
• What other data we need and where it resides.
• Understanding how those disparate tables can be joined using data
items common to both.
• A technology ecosystem that supports this.
• Tools that can be easily used by Citizen Data Scientists.
What is needed in L&D?

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Tools – Free and Trial Downloads
https://www.denodo.co
m/en/denodo-
platform/denodo-
express
https://www.hitachivantara.
com/en-us/products/data-
management-
analytics/pentaho-
platform/pentaho-data-
integration/pentaho-trial-
download.html
https://powerbi.microsoft.
com/en-us/downloads/
https://aws.amazon.com/free/
?nc1=h_ls&all-free-tier.sort-
by=item.additionalFields.Sort
Rank&all-free-tier.sort-
order=asc

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What questions do you
have for me?

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Thank You

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