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

CURATE #831 Add quote, reaction, or thought here

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

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

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

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

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

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

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

Matthew J Daniel Learning Strategy | Learning Tech | LX 615.419.7898 matthew@thelearnercollective.com http://thelearnercollective.com