These days, the shopping mall industry just can’t seem to shake the doom and gloom headlines. According to Business Insider, a “Retail Apocalypse” has officially hit America. While it’s true that declining in-store sales are forcing some retailers to close stores, those headlines don’t tell the full story. Jumping to the conclusion that it’s “the end of the world” for the modern American mall discounts their potential to adapt and thrive in today’s world. Given the socioeconomic impact that shopping centers have on our communities, we should celebrate and encourage their potential to adapt – not discourage it.
At StreetLight, we know how important shopping malls are for our communities, and we’re committed to building the tools they need to thrive. When malls and shopping centers close their doors, towns and cities don’t just lose a place to shop. People lose a place to connect to face-to-face and communities lose employers. Abandoned shopping malls can even become hotspots for petty crime. But that doesn’t have to be the future of the shopping mall.
The successful malls of the future will be those that recognize the changing desires of today’s consumers, then adapt to meet them. In this blog post, we will share a few ways for real estate and shopping center professionals to turn today’s shopping centers into the malls of the future.
I’m thrilled to announce our latest monthly update of StreetLight InSight—that’s our online platform for transforming Big Data into transportation Metrics in minutes. With this release, our platform does even more to close the gap between Big Data and actionable analytics.
We’ve achieved this by adding several new Metrics, updating our databases with the latest location data sets from our suppliers, and implementing features that make StreetLight InSight more user-friendly and responsive. In this blog post, we’ll dive into the most important updates.
Get the latest news about Big Data and mobility analytics for the transportation, retail, and real estate industries.
Earlier this year, we integrated our new Location-Based Services data source into the StreetLight InSight® platform. Since then, we have steadily introduced Metrics and features built off that data that help our clients glean even more useful information from our platform. In this blog post, I’ll highlight the most exciting developments. (In case you need a refresher, StreetLight InSight is our easy-to-use cloud-based platform for transforming Massive Mobile Data into analytics that describe travel behavior.)
Since I joined StreetLight Data as VP of Sales and Services just a few weeks ago, I’ve found myself energized by both team I have joined and the product we provide, StreetLight InSight®. But I can’t deny the flicker of apprehension that I felt right before my first day. Change is not always easy: I previously worked for more than 10 years at Autodesk, where I helped build global sales teams, established the company in new industries, and brought brand-new products to market. From my clients to my colleagues, the Autodesk community still
feels like family to me – and I’m proud of that.
At StreetLight Data, we’re always updating StreetLight InSight, our easy-to-use web application for transforming Big Data from mobile devices into Metrics that describe travel patterns. (Not familiar with StreetLight InSight? Click here to sign up for our monthly introductory webinar.) Typically, our usability enhancements have focused on improving StreetLight InSight for individuals. In our last two monthly releases, we took a different approach: Optimizing StreetLight InSight for large projects and large teams. In this blog post, we’ll share the highlights.
At StreetLight Data, we transform trillions of geospatial data points into useful information about mobility behavior. One of the most common questions we’re asked is, “So, where do those trillions of data points come from?” For all of our StreetLight InSight® Travel Metrics as well as many of our Retail Metrics, the answer is “GPS devices.” In this blog post, we’ll discuss the different types of devices that generate the GPS data we use.