Location Intelligence (LI) is not so quietly becoming a core part of most enterprise business’ strategies. In a survey of 220 data analysts, executives, and scientists, 85% believed that location intelligence would be “very” or “extremely” important to their organization’s success over the next 3 years, with 84% planning on investing in LI technology.

Developers need open-source tools to be able to create applications that are both visually stunning and highly functional. CARTO and the Location Intelligence community have long supported the open-source community, contributing to the development of a modern geospatial tech stack that allows all companies to take advantage of their location data.

As wildfires continue to rage in Ventura and LA County, residents may be wondering what addresses are most affected. This map, created by Mamata Akella (this morning!), shows real-time data of the perimeter of the wildfires as well as the streets most impacted.

We’ve talked a lot on this blog about how different business functions use Location Intelligence in very different ways to solve very different problems.

Data science is a rapidly growing career path and leaders across all industries, fields, and governments are putting their best minds to the task of harnessing the power of location data.

Administrative municipal boundaries, such as districts and neighborhoods, are often used to describe the behavior of citizens that live within cities. However, in most countries, people interact within cities without constraining their activity to district or zip code boundary constraints.

According to Glassdoor, data scientist is the #1 job in the United States based on number of job openings, salary, and overall job satisfaction.

Successfully managing sales territories is not an easy task, but the consequences of doing it poorly are severe: higher overhead (the average business trip costs $2,600), lower employee retention, decreased productivity, and piecemeal, inconsistent customer service.

Editor’s Note: This post was published using maps with real-time data during Hurricane Irma in September, 2017. As those maps no longer display any data, we’ve included a static image at the top of this post that gives you a sense of the types of maps we originally created for this post.

For the past week, we’ve all seen the spaghetti models and cones of uncertainty that aim to predict the path of Hurricane Irma, already the most powerful storm ever to form in the Atlantic.

In our rapidly evolving online world, digital marketers constantly have to find new ways to make sure their campaigns are reaching the right people with the right message.

We’ve all seen the controversial Keystone XL Pipeline in the news, and every few months, we hear of a catastrophic oil spill.

You may have heard, a total eclipse of the sun is on the way to 12 states in the United States on August 21, spanning from the west coast of Oregon to the east coast of South Carolina. While we’ll be singing Bonnie Tyler from our desks in Brooklyn, NY...

Last week, over 200 geospatial experts from 150 member states convened at the United Nations to discuss how spatial data and technology are shaping the future of sustainable development in line with the United Nation’s 2030 Sustainable Development Goals (SDGs).

Online retailers have become experts in tailoring consumer experiences, building stronger relationships with customers, and launching targeted ad campaigns by collecting data.

The opportunity for New York City’s bus system has never been greater. As its sibling system, the subway, enters a declared state of emergency, the NYC bus system could help solve the city’s transit woes.

Cartography is as much art as it is science. A map can use the best data and most sophisticated analyses but is ineffective if the reader can’t understand the story behind it. However, unless you’re Leonardo da Vinci, being both an artist and a scientist doesn’t come naturally, so we’ve found two maps that demonstrate how colors, labels, boundaries, and symbols can help you create a powerful map.

If you’ve ever been part of a new development project for a store or building, you know how many factors go into making decisions about physical location.

If Amazon’s planned $14 billion acquisition of Whole Foods goes through, it could radically change the grocery industry. Many news outlets have speculated why Amazon might be interested in Whole Foods, from solving grocery home delivery to getting a part of the $675 billion per year grocery business in the...

You’ve probably seen the headline a dozen times: “[big box store] closes [large number] of Stores Nationwide.”

While early cartographers didn’t use the term “location intelligence,” they were keenly aware that their maps had an intended purpose.

There is a nearly endless supply of open data ready for businesses and nonprofits to use. The challenge is that creating something useful with that data is not always easy. Open data comes in a variety of formats and doesn’t always make sense, especially when you’re trying to analyze data in a historical context.

Open data is justifying all its hype by making local governance easier, more accessible, and transparent for the daily lives of small town and big city residents alike.

Location intelligence (LI) is becoming increasingly vital to a wide variety of industries, but it can still be hard to find conferences and events where you can get smart on this growing sector.

In the age of global technopolis, open government data reigns. In 2016, 70 countries participated in the Open Government Partnership, a big increase from just 7 in 2011, and 52 countries hosted their own open data portals.