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Ryan Goodman
CEO Centigon Solutions
@rmgoodm
Ryan Goodman is Centigon Solutions
CEO, author, and expert in Business
Intelligence. Ryan applies over 12
years designing business applications
to his leadership role shaping Centigon
Solutions’ Location Intelligence
platform strategy. Today, Ryan is
focused on pushing wider adoption of
Business Intelligence through
visualization and Location based
services.
Machine and device
generated data is a
breeding ground for new
big data opportunities,
and over 80% of this
data has a location
attribute.
Your customers and employees are location aware beacons thanks to
smartphones and wearables. The physical world we live and work in is
digitized more than ever before.
Why Location Matters?
Harnessing this location data and effectively mapifying your KPIs can
expose problems and opportunities that may be hidden in plain sight.
Why Location Matters?
Key performance indicators (KPI) stem from real business problems,
align to a strategic objective, and should have measurable progress.
What is “Mapifying a KPI”?
Mapifying KPIs, is the practice
of identifying existing business
problems where location,
proximity, or distance play a
vital role in creating new
leading indicators and
supporting analytics
Here are 3
important
steps to mapify
your KPIs.
Organize your KPIs and
supporting analytics
1
Mapifying your KPIs
should support your
existing strategic goals.
Starting with your existing
business KPIs and metrics for
sales, operations, marketing, or
HR, you can easily uncover
problems where location based
metrics can help support your
lines of business.
How to visualize and
communicate progress
using maps is not
important during this
first step.
Check out the full post for
some great examples...
Full Post Portal
Explore new ways to
measure success
2
Density, distance,
proximity, and other
measurements are more
common to GIS analysts
than business leadership.
Those organizations that
master these measures
within their lines of
business have a
competitive advantage.
More examples right
here!
Full Post Portal
Hypothesize what is good or
bad
3
For new “big data”
powered leading
indicators and analytics, it
is critical to hypothesize
your optimal measures
for success.
Then, using the analytics or
GIS tools on hand, you can
explore and standardize
before holding your
organization accountable
for increasing
performance.
For some kickass
examples, click here...
Full Post Portal
Want help with this top-down
approach to Location Intelligence?
CONNECT WITH US
CLICK THE LINK
For more great content go to…
BIBrainz.com/aof
Edited by
Matthew Broderick
Managing Editor of Analytics on Fire
@MattdBroderick

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Three Simple Steps to Mapify your Big Data KPIs

  • 1.
  • 2. Ryan Goodman CEO Centigon Solutions @rmgoodm Ryan Goodman is Centigon Solutions CEO, author, and expert in Business Intelligence. Ryan applies over 12 years designing business applications to his leadership role shaping Centigon Solutions’ Location Intelligence platform strategy. Today, Ryan is focused on pushing wider adoption of Business Intelligence through visualization and Location based services.
  • 3. Machine and device generated data is a breeding ground for new big data opportunities, and over 80% of this data has a location attribute.
  • 4. Your customers and employees are location aware beacons thanks to smartphones and wearables. The physical world we live and work in is digitized more than ever before. Why Location Matters?
  • 5. Harnessing this location data and effectively mapifying your KPIs can expose problems and opportunities that may be hidden in plain sight. Why Location Matters?
  • 6. Key performance indicators (KPI) stem from real business problems, align to a strategic objective, and should have measurable progress. What is “Mapifying a KPI”?
  • 7. Mapifying KPIs, is the practice of identifying existing business problems where location, proximity, or distance play a vital role in creating new leading indicators and supporting analytics
  • 8. Here are 3 important steps to mapify your KPIs.
  • 9. Organize your KPIs and supporting analytics 1
  • 10. Mapifying your KPIs should support your existing strategic goals.
  • 11. Starting with your existing business KPIs and metrics for sales, operations, marketing, or HR, you can easily uncover problems where location based metrics can help support your lines of business.
  • 12. How to visualize and communicate progress using maps is not important during this first step.
  • 13. Check out the full post for some great examples... Full Post Portal
  • 14. Explore new ways to measure success 2
  • 15. Density, distance, proximity, and other measurements are more common to GIS analysts than business leadership.
  • 16. Those organizations that master these measures within their lines of business have a competitive advantage.
  • 18. Hypothesize what is good or bad 3
  • 19. For new “big data” powered leading indicators and analytics, it is critical to hypothesize your optimal measures for success.
  • 20. Then, using the analytics or GIS tools on hand, you can explore and standardize before holding your organization accountable for increasing performance.
  • 21. For some kickass examples, click here... Full Post Portal
  • 22. Want help with this top-down approach to Location Intelligence? CONNECT WITH US CLICK THE LINK
  • 23. For more great content go to… BIBrainz.com/aof Edited by Matthew Broderick Managing Editor of Analytics on Fire @MattdBroderick