Actionable insights for accelerated growth

How to make cents of it all. We’ve all freely tossed around the term, “data is king,” but do we truly understand it? For many, there’s a gaping gulf between using the term and utilizing it to turn a profit. Profit is, after all, the primary objective of collecting and using data. Data is the foundation to insight, and insights give us mastery over the world around us. This is true for everyone from the amateur weather hobbyist up to the highest levels of government, and it is especially so in the world of business.

As a real estate broker, knowing when to use data is tough. How much should you rely on what the demographics tell you? Or how much weight should you place on the painfully obvious vagrancy problem when you drive through the trade area?

SiteZeus, a Tampa, Florida-based technology startup is looking to expand R&D and add new vertical expertise with funds it raised this summer, said Keenan Baldwin, co-CEO.

Are site expansion targets an illusion? It’s hard to say precisely how many multi-unit retailers fall behind on their 10, 20, 50, or 100-unit growth targets each year, but it’s probably fair to say that it’s quite a lot. All savvy business owners set a high bar for themselves and yet no matter how diligently they run the numbers, development always seems to lag 25-50% behind of what’s expected. Why is this?

Undeniable – the commercial real estate industry is painfully slow to adapt to new technology! I have witnessed hundreds of companies refer to an excel document as a sophisticated piece of “technology.” The major drivers for this lag in innovation revolve around an outdated rationale and a general lack of forward thinking. The idea that value can only be extracted from hard assets or tangible assets is being challenged now more than ever.

Billy Sims, the 1978 Heisman Trophy winner and a former running back for the Detroit Lions, came in hot to the fast casual dining scene in 2004 when he and his partner Jeff Jackson opened up their first franchise in Tulsa, Oklahoma. After successfully building and managing six restaurants, the pair opened up their business to franchisees. They have since mastered their franchise system and expanded to include over 40 locations throughout the midwest.

It was another great show in Vegas, and a must attend event for restaurant company owners and executives.

TAMPA, Fla. (November 21, 2016) — SiteZeus has partnered with TA and Petro Stopping Centers, the largest full-service travel center company in the United States, to provide them with the most intelligent solutions the big-data industry has to offer for real-estate expansions, informed by the most accurate and insightful data sets around.

SiteZeus is excited to introduce the Synergy Grid, among other new features this month, including new Heat Maps, Lasso locations and INRIX Traffic Volumes.

In case you haven’t noticed, big-data is now quite literally driving industry and causing major disruptions along the way. Uber has all but obviated the taxi industry, and Air Bnb is Uber’s hotel counterpart; both companies rely on highly automated, data-driven platforms that are shifting economy and infrastructure in major ways. And while these integrations have not been totally seamless, it’s clear that the world is ready for some fresh takes on antiquated industries.

This California brand is hoping to popularize kebab shops- Europe’s tastiest (and most ubiquitous) street food- in America. Small kebab shops started popping up in Europe as a result of Turkish immigration, and the dish caught on like wildfire. The Kebab Shop is bringing this simplistic but stellar model to the states, and the fire is catching.

Real estate is a laggard when it comes to adapting to change, says SiteZeus EVP of product development Chuck Cooper. He arrived at this conclusion after more than 30 years of developing software for real estate and other industries. Now, his Tampa, FL-based company, founded by brothers Hannibal and Keenan Baldwin in 2014, wants to help industry players find ideal locations to choose from by crunching large amounts of statistical data.