1. Learning Data Warehouse
Why Build a Data Warehouse?
Options for Data Warehouse
Steps to get started

2. CURATE #831 Add quote, reaction, or thought here

3. L&D Professionals are Under Tremendous Pressure
Of employees would stay at a company longer if they invested in career development
94%*
Estimated Half Life of a Learned Skill in Today’s Job Market
5 yrs+
Average time per week employees are giving to learning
24 mins**
81%*
Of executives list “talent” as their #1 priority
Talent Developers would NOT recommend their own programs
2 in 3*
“disruption of digital”
Conferences are both inspiring and scary
Amount of change is overwhelming
From “here’s your development tool and LMS” to here are your 5 systems, 5 development tools, and 25 different modalities.
1 in 3 – LinkedIn Learning Workplace Learning Report
5 years – Lynda Gratton and Andrew Scott, The 100-Year Life: Living and Working in an Age of Logevity
12-18 months for software engineeers to develop a whole new skillset – github
52 HTML5 authoring tools “Elearningindustry.com”
300+ LMS
*LinkedIn Learning 2018 Workplace Learning Report **Bersin by Deloitte +Gratton & Scott
@matthewjdaniel #Learning2018 #831

4. The Product Mindset: “Are they buying what you’re selling?”
Technology
The Product Mindset
Humans
Business

5. Transactional vs Analytical
Transactional databases are built to allow an application to regularly access small bits of data and serve them up quickly vs
Analytical databases are structured for large queries of data on an infrequent basis
Don’t make a better [x], make a better [user of x].
@matthewjdaniel #Learning2018 #831

6. Why Do You Want a Data Warehouse?
Business Impact
Innovative AI Tools
Map Learner Experience
Operations Tools
Why Do You Want a Data Warehouse?
We can bring in more business data and continue towards Level 4s
We’re better positioned for recommendation engines, chat bots, and other tools as the market matures
We hope to be able to identify the true SMEs and experts
Opportunity to map the entire learner experience and tie to talent and performance
We can create “smarter” ops functions like content lifecycle
@matthewjdaniel #Learning2018 #831

7. Options for a Learning Data Warehouse
Considerations:
Security Culture
Integration with Business/HR
Inhouse Expertise
Intent
Resources for IT Support
Resource for Analytical Support
Streaming or Dumps
Size and Access
Learning Record Store
Watershed, Learning Locker, Yet Analytics, Rustici, etc.
Cloud Based Data Warehouse
Amazon, Microsoft, Google
Build or Buy?
Local/Behind the Firewall
Oracle
@matthewjdaniel #Learning2018 #831

8. Standing Up Your Data Warehouse
Identify Data
Normalize Data
Build It
Import & Validate
Decide on Sources
Decide on Method
Check the Data
Clean Out the Junk
Set a Common Structure
Data Engineering & Transformation
Schedule & Execute
Validate
Build Reports
@matthewjdaniel #Learning2018 #831

9. Where to start with gathering your data:
Start with what’s easy, if:
Start with what’s valuable, if:
You don’t have a particular goal in mind.
You have a specific goal(s) in mind.
You want to get started quickly.
You have additional time to get started.
You start by brainstorming the pieces of data you might be able to collect
You want to produce specific outputs that your organization needs
You want to uncover unexpected insights and benefits.
You start by identifying a clear business goal.
You’re agile when it comes to planning.
You prefer structured, detailed planning..
Source: Watershed
@matthewjdaniel #Learning2018 #831

10. Matthew J Daniel Learning Strategy | Learning Tech | LX 615.419.7898