How Should a Firm Determine Where to Expand Geographically?

Without a robust data-driven location sales forecast model, your organization could easily invest in some non-profitable locations and miss out on highly profitable locations. Especially if your organization has opened quite a few locations in the past, your organization would highly benefit from a data science model that estimates how many sales a particular location would generate based on the surrounding population and demographics and how these have historically impacted sales. You could apply this model to all real estate opportunities available and compare the estimated sales and margin to their cost; imagine having an interactive dashboard where you could rank them by expected profitability and, for any given location, be able to see what your expected profitability would be at any offer being considered. If your real estate team doesn’t have access to something like this today, it’s possible your organization’s analytics team lacks the data science knowledge required to build a model like this. Whether you’d like your analytics team to learn the skills required to do this themselves or would prefer for a consultant to build the data science model for you, Value Driven Analytics can help!