Accountant, Strategist, or Sherlock: Using Learning Data in Context
Conference Archive
Learning Solutions Conference & Expo 2016 - March 16, 2016

Janet Laane Effron
Data Scientist
HT2
Most people in the learning and development field didn’t choose the profession because of a deep love for statistics, and few have ready access to data scientists for consultation. But the availability of an ever-growing body of data highlights the value of a fundamental understanding of data collection and analysis. Learning data will only provide valuable, actionable information if curated and evaluated strategically.
In this session, you will learn how to develop clearly defined, context-dependent information goals which will then serve to delineate the data required to meet those goals. Lessons and heuristics from other analytic fields, including business intelligence, competitive intelligence, and web analytics will be used to help provide you insight on the data requirements for a variety of information goals. You will also learn how to effectively communicate analytic results to stakeholders at various organizational levels.
In this session, you will learn:
- How to define goals and context for data acquisition
- How to take a strategic approach to data
- The value of quantitative and qualitative approaches to improve insights
- How to deliver context-specific results in terms relevant to stakeholders
Audience:
Novice and intermediate designers, project managers, managers, and
directors.
Technology
discussed in this session:
Common tools for data collection and analysis such as LMS, LRS,
spreadsheets, and databases.
Handouts
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