Three Simple Steps to Mapify your Big Data KPIs

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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.

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Machine and device generated data is a breeding ground for new big data opportunities, and over 80% of this data has a location attribute.

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Why Location Matters? 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.

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Why Location Matters? Harnessing this location data and effectively mapifying your KPIs can expose problems and opportunities that may be hidden in plain sight.

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What is “Mapifying a KPI”? Key performance indicators (KPI) stem from real business problems, align to a strategic objective, and should have measurable progress.

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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

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Here are 3 important steps to mapify your KPIs.

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1 Organize your KPIs and supporting analytics

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Mapifying your KPIs should support your existing strategic goals.

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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.

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How to visualize and communicate progress using maps is not important during this first step.

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Check out the full post for some great examples... Full Post Portal

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2 Explore new ways to measure success

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Density, distance, proximity, and other measurements are more common to GIS analysts than business leadership.

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Those organizations that master these measures within their lines of business have a competitive advantage.

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More examples right here! Full Post Portal

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3 Hypothesize what is good or bad

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For new “big data” powered leading indicators and analytics, it is critical to hypothesize your optimal measures for success.

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Then, using the analytics or GIS tools on hand, you can explore and standardize before holding your organization accountable for increasing performance.

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For some kickass examples, click here... Full Post Portal

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Want help with this top-down approach to Location Intelligence? CONNECT WITH US CLICK THE LINK

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For more great content go to… BIBrainz.com/aof Edited by Matthew Broderick Managing Editor of Analytics on Fire @MattdBroderick

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