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A Year in Review: Skyhook's Best Blogs of 2017

Jan 4, 2018   

Posted by Brittany Dervan

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2017 was a busy year for Skyhook and 2018 looks even brighter. Highlights of the past year include launching our new data offering Geospatial Insights, releasing OpenTide and hitting many DevOps milestones, just to name a few.

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Topics: Internet of Things, Data Analysis, Location Intelligence

Prediction Roundup for 2018: Location, IoT and Big Data

Dec 20, 2017   

Posted by Brittany Dervan

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The technology ecosystem grew immensely in 2017 and we’re expecting even bigger things in 2018. Based on the predictions below we have a few ideas on what the next year has in store for the Internet of Things, Location and Big Data.

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Topics: Iot, location, Location Intelligence

4 Ways Location Intelligence Can Help Financial Services

Dec 12, 2017   

Posted by Michael McBrien

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As the big data boom has gained traction in recent years, location intelligence has grown in importance as more organizations look to benefit from the insights that location data provides. This is especially true in the Financial Services industry as they look for new ways to gain a competitive advantage. According to a recent Carto report, 78% of C-level and management respondents said there was a strong likelihood they would invest in Location Intelligence within the next year.

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Topics: Geofencing, Foot traffic, Location Intelligence

Black Friday Foot Traffic Analysis: How Major Retailers Performed

Nov 27, 2017   

Posted by Brittany Dervan

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Black Friday 2017 has come and gone and although predictions pointed to this year being all about digital sales, some brick and mortar stores ended up thriving and people still line up to get the best deals available.

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Topics: Data Analysis, Foot traffic, Location Intelligence

“America Runs on Dunkin'”, But Does Massachusetts?

Nov 16, 2017   

Posted by Keegan Ross

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Back in 2006 Dunkin’ Donuts started using the tagline “America Runs on Dunkin”. We decided to see just how applicable the tagline is to the state of Massachusetts, particularly during peak Pumpkin Spice season when Starbucks would theoretically provide the biggest challenge to that notion. We use anonymized user location data and dissected foot traffic patterns for this analysis. Before we dive into the answer though, let’s take a moment to talk about how we derived this information and what other insights the data reveals.

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Topics: Data Analysis, Foot traffic, Location Intelligence

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