Maps are going Google: Decide with Instant Insights
July 9th, 2014 | Published in Google Enterprise, Google Maps
Editor's note: In today’s digital age, information overload is a common problem, both in our lives and at work. That’s why forward-thinking organizations are investing in map visualization tools to help them manage and use data more effectively. Read more about the six ways Maps are Going Google.
Data is critical for businesses, helping to steer day-to-day operations as well as future strategies. But when it comes to using data at work, there’s a fine line between empowered and overwhelmed. Unless your team can analyze and interpret all the information available to them, they’re far more likely to end up on the wrong side of that line.
According to a recent study* that surveyed 300 enterprise professionals, data of all forms — internal, external, structured, and unstructured — has grown by 38 percent over the past two years. With so much information available, companies need a real-time mechanism to understand fresh data, make decisions and communicate those decisions internally.
Rather than asking sales and marketing reps to pour over the data needed to identify solar candidates, BioSolar puts prospective customer information on a map. This lets the team see exactly where they need to be and who they need to target. Since deploying Google Maps, BioSolar’s total sales appointments per day have increased from 20 to 180.
Biosolar is just one company who is realizing the benefits of seeing data in context to its location. Whether reporting to senior executives or doing your own analysis, overlaying dispersed data sets on a map allows an organization to present their information in one clear picture. This lets employees gather insights more effectively and improve communications.
As a business grows, finding better ways to use data is essential. For more information about how maps can help your organization glean instant insights, sign up for our “Maps are going Google” series or read Chapter 2 now.
* Map Data@Work Study, 2014