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From DataVisualization to
Role-Specific Data Discovery
xAPI Cohort Fall 2017
2
First things first. Let’s get a little context.
Experience data is a combination of
activity, learning, behavior, and
performance data.
By unifying data from across
organizational data sources, insights
into engagement, learning effectiveness,
information use, and team behaviors
can be identified and applied to
improve business outcomes.
Yet Analytics turns this experience data
into experience intelligence.
We’re talking about Experience.
3
Experience data is collected and connected
from a modular ecosystem using xAPI.
4
5
Experience data allows us to create beautiful
and impactful data visualizations.
6
But let’s face it.We’ve been visualizing data for
hundreds of years.
Confidential	©	Yet	Analytics,	Inc.	2017	 7
The Tree of the Two Advents, 1202
Data tree structure representing
genealogy.
Joachim of Fiore
Confidential	©	Yet	Analytics,	Inc.	2017	 8
Geometry, 1587
Map of the relationships between
geometric shapes.
Christoph de Savigny
Confidential	©	Yet	Analytics,	Inc.	2017	 9
Diagrams, 1854
Representation of mortality rates by
cause in military hospitals.
Florence Nightingale
10
We visualize data so that we can see patterns.
11
What qualities make for good data discovery?
12
Let the user ask questions.
When you’re designing the interface, consider how users will be able to
ask questions.
Build interaction tools directly into the visual display where possible;
intuitive interaction allows for more fluid discovery.
1. Interactive
13
The World Above Us, 2014
Quartz
14
xAPI LRS Timeline, 2017
Yet Analytics
15
Help the user see relationships between
different variables.
Consider the visual space and all the visual dimensions you can use to
convey information.
Color, shape, size, spatial organization, line thickness, hover / interactive
detail.
2. Multidimensional
Confidential	©	Yet	Analytics,	Inc.	2017	 16
Buzzy Drinks, 2013
Uses spatial placement, color, and
shape groupings to convey information
about caffeine density in different
consumables.
Dirk Aschoff and Klaas Neumann for
Scientific American
17
xAPI LRS Statement Frequency, 2017
Yet Analytics
18
xAPI LRS Statements OverTime, 2017
Yet Analytics
A good visualization conveys information in a dramatically smaller
footprint than the same data presented tabularly.
Different graph types imply different kinds of relationships – use the
ones that work with your data, not against it.
19
Use visualization types that match your
data sets.
3. Visually Efficient
20
Weather Radials, 2014
Timm Kekeritz
21
LESI Fingerprints, 2016 HP Global Learning, Economics and Social Index
Yet Analytics
22
xAPI LRS Outliers, 2017
Yet Analytics
23
Visualize this:
Real-time role-specific data dashboards from
across your learning ecosystem.
Modular xAPI Data Ecosystem withYet
24
Ø Measure learning activity
Ø Measure resource use
Ø Understand engagement
Ø Create learner profiles
Ø See learning pathways
Ø Understand competency
development
Ø Identify problem content
and opportunities for
program improvement
Ø Demonstrate impact & ROI
An xAPI Data Ecosystem withYet
25
Connecting data from:
Ø Learning Management
Systems
Ø Content Management
Systems andVideo
Platforms
Ø AuthoringTools
Ø Communication Platforms
Ø ProductivityTools
Ø Mobile or Micro
eLearning Apps
Ø Performance Assessment
Tools
Ø SurveyTools
Ø HRIS & Other Systems
So we can:Provide data to:
Ø Learners
Ø Instructors
Ø Managers
Ø Team Leaders
Ø Other Stakeholders
Confidential	©	Yet	Analytics,	Inc.	2017	 26
Learner Dashboard
Ø Compare and
assess individual
performance to
average.
Ø Automatically track
activity patterns to
identify
opportunities for
growth.
Ø See progress and
achievements in
real-time.
Instructor Dashboard
Ø Monitor learner
performance and
trends.
Ø Apply insights to
improve
instructional
content and make
appropriate
interventions.
Ø Align activities via
xAPI with Key
Performance
Indicators (KPIs)
demonstrative of
ROI in
instructional
objectives.
27
Manager Dashboard
Ø Create a data-driven
feedback loop
between learners,
program and content
creators, and leaders.
Ø Track activities for
each team leader to
provide a data
repository of
common activity and
experience patterns
in our organization.
Ø Use that data to
inform decisions
across teams to
improve outcomes.
28
29
Experience
Graph
Across the
Organization
Ø yetanalytics.com/yetadapter
Ø yetanalytics.com/blog/xapi-
insiders-guide-to-devlearn
Ø https://www.yetanalytics.com/free-
sandbox-account
Core Competencies:Yet Analytics, Inc. builds xAPI-compliant data
stores and AI-enabled software for big data and analytics in the
human capital space. Our technologies provide for the
interoperable collection and analysis of data sourced via learning
management systems, simulations, e-content, eLearning authoring
tools, wearables, IoT, virtual and augmented reality, and associated
experiential technologies.
Products: xAPI LRS; xAPI translation bridges; xAPI Dashboards
featuring automated data visualizations and interactive analytics.
Solutions: Project design and R&D, software engineering, data
integration and data science, xAPI and learning analytics training.
Delivering Experience Intelligence with the
world’s most visual xAPI LRS.
30
yetanalytics.com
Experience Intelligence in Human Capital Analytics
Margaret Roth
margaret@yetanalytics.com
443.256.3673
31
Ø Winner, Nielsen Data Visionary Award at
TechCrunch Disrupt SF 2015
Ø Winner, Best of E-Learning 2016 Excellence
Award
Ø Ranked #1 LRS by the Craig Weiss Group

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From Data Visualization to Role-Specific Data Discovery

  • 1. From DataVisualization to Role-Specific Data Discovery xAPI Cohort Fall 2017
  • 2. 2 First things first. Let’s get a little context.
  • 3. Experience data is a combination of activity, learning, behavior, and performance data. By unifying data from across organizational data sources, insights into engagement, learning effectiveness, information use, and team behaviors can be identified and applied to improve business outcomes. Yet Analytics turns this experience data into experience intelligence. We’re talking about Experience. 3
  • 4. Experience data is collected and connected from a modular ecosystem using xAPI. 4
  • 5. 5 Experience data allows us to create beautiful and impactful data visualizations.
  • 6. 6 But let’s face it.We’ve been visualizing data for hundreds of years.
  • 7. Confidential © Yet Analytics, Inc. 2017 7 The Tree of the Two Advents, 1202 Data tree structure representing genealogy. Joachim of Fiore
  • 8. Confidential © Yet Analytics, Inc. 2017 8 Geometry, 1587 Map of the relationships between geometric shapes. Christoph de Savigny
  • 9. Confidential © Yet Analytics, Inc. 2017 9 Diagrams, 1854 Representation of mortality rates by cause in military hospitals. Florence Nightingale
  • 10. 10 We visualize data so that we can see patterns.
  • 11. 11 What qualities make for good data discovery?
  • 12. 12 Let the user ask questions. When you’re designing the interface, consider how users will be able to ask questions. Build interaction tools directly into the visual display where possible; intuitive interaction allows for more fluid discovery. 1. Interactive
  • 13. 13 The World Above Us, 2014 Quartz
  • 14. 14 xAPI LRS Timeline, 2017 Yet Analytics
  • 15. 15 Help the user see relationships between different variables. Consider the visual space and all the visual dimensions you can use to convey information. Color, shape, size, spatial organization, line thickness, hover / interactive detail. 2. Multidimensional
  • 16. Confidential © Yet Analytics, Inc. 2017 16 Buzzy Drinks, 2013 Uses spatial placement, color, and shape groupings to convey information about caffeine density in different consumables. Dirk Aschoff and Klaas Neumann for Scientific American
  • 17. 17 xAPI LRS Statement Frequency, 2017 Yet Analytics
  • 18. 18 xAPI LRS Statements OverTime, 2017 Yet Analytics
  • 19. A good visualization conveys information in a dramatically smaller footprint than the same data presented tabularly. Different graph types imply different kinds of relationships – use the ones that work with your data, not against it. 19 Use visualization types that match your data sets. 3. Visually Efficient
  • 21. 21 LESI Fingerprints, 2016 HP Global Learning, Economics and Social Index Yet Analytics
  • 22. 22 xAPI LRS Outliers, 2017 Yet Analytics
  • 23. 23 Visualize this: Real-time role-specific data dashboards from across your learning ecosystem.
  • 24. Modular xAPI Data Ecosystem withYet 24
  • 25. Ø Measure learning activity Ø Measure resource use Ø Understand engagement Ø Create learner profiles Ø See learning pathways Ø Understand competency development Ø Identify problem content and opportunities for program improvement Ø Demonstrate impact & ROI An xAPI Data Ecosystem withYet 25 Connecting data from: Ø Learning Management Systems Ø Content Management Systems andVideo Platforms Ø AuthoringTools Ø Communication Platforms Ø ProductivityTools Ø Mobile or Micro eLearning Apps Ø Performance Assessment Tools Ø SurveyTools Ø HRIS & Other Systems So we can:Provide data to: Ø Learners Ø Instructors Ø Managers Ø Team Leaders Ø Other Stakeholders
  • 26. Confidential © Yet Analytics, Inc. 2017 26 Learner Dashboard Ø Compare and assess individual performance to average. Ø Automatically track activity patterns to identify opportunities for growth. Ø See progress and achievements in real-time.
  • 27. Instructor Dashboard Ø Monitor learner performance and trends. Ø Apply insights to improve instructional content and make appropriate interventions. Ø Align activities via xAPI with Key Performance Indicators (KPIs) demonstrative of ROI in instructional objectives. 27
  • 28. Manager Dashboard Ø Create a data-driven feedback loop between learners, program and content creators, and leaders. Ø Track activities for each team leader to provide a data repository of common activity and experience patterns in our organization. Ø Use that data to inform decisions across teams to improve outcomes. 28
  • 29. 29 Experience Graph Across the Organization Ø yetanalytics.com/yetadapter Ø yetanalytics.com/blog/xapi- insiders-guide-to-devlearn Ø https://www.yetanalytics.com/free- sandbox-account
  • 30. Core Competencies:Yet Analytics, Inc. builds xAPI-compliant data stores and AI-enabled software for big data and analytics in the human capital space. Our technologies provide for the interoperable collection and analysis of data sourced via learning management systems, simulations, e-content, eLearning authoring tools, wearables, IoT, virtual and augmented reality, and associated experiential technologies. Products: xAPI LRS; xAPI translation bridges; xAPI Dashboards featuring automated data visualizations and interactive analytics. Solutions: Project design and R&D, software engineering, data integration and data science, xAPI and learning analytics training. Delivering Experience Intelligence with the world’s most visual xAPI LRS. 30
  • 31. yetanalytics.com Experience Intelligence in Human Capital Analytics Margaret Roth margaret@yetanalytics.com 443.256.3673 31 Ø Winner, Nielsen Data Visionary Award at TechCrunch Disrupt SF 2015 Ø Winner, Best of E-Learning 2016 Excellence Award Ø Ranked #1 LRS by the Craig Weiss Group