Harnessing the Power of Big Data with Geospatial Mapping

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Everyone on the same page

Military commanders in different areas need to know where troops are at all times. Some military organizations use 2D and 3D mapping environments so all their decision makers are operating off of the same picture. The ability for all appropriate decision makers to see the same information in a living, visual format keeps everyone better informed and on the same page.

In the commercial sector, Big Data in a digital, interactive map format positively impacts profit margin because ROI is greatly diluted when data is filtered into a report for a specific topic for one specific element of management. Simple mapping solutions that are democratized and in the hands of everyone in the organization add up to provide a more holistic view that positively impacts the bottom line. The same map that human resources wants to use can be leveraged by the supply chain management analysts. The same map that tracks field staff for managers to assign them to projects can be used to identify the location of loyal customers in order to determine the ideal new store site.   

It's no mystery that Big Data has the power to solve a number of known problems and unlock new ways of doing business. What is a mystery – for many organizations – is how to take advantage of the voluminous quantity of unstructured data. International Data Corporation forecasts that the Big Data technology and services market will grow at a 27 percent compound annual growth rate (CAGR) to $32.4 billion through 2017 – or about six times the growth rate of the overall information and communication technology (ICT) market.

While the commercial sector still struggles with how to capitalize on Big Data, military and intelligence organizations have utilized geospatial mapping as a way to corral Big Data and harness its power. In fact, according to Thermopylae, the lessons learned by the public sector may offer tremendous insight into the enterprise.


Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

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