From: BI Brainz Analytics on Fire Community
Original Blog Post: http://bit.ly/1Dab2JG
Written by Ryan Goodman - @rmgoodm
Posted on Analytics on Fire - @analyticsonfire
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 three simple ways your business can mapify your KPIs for more success.
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
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
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...
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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.