TREND’s ability to enable community change through strategic retail development is dependent upon highly propriety and highly sophisticated data, analytics and predictive models combined with deep qualitative knowledge. The big data analytics are essential to do the following:
Identify a neighborhood’s type and likely trajectories
Determine where retail development can influence the neighborhood trajectory and be a driver for community change
Assess which kind of retail stores in a given location are likely to be financially viable, strengthen the retail corridors and influence the neighborhood trajectory
Evaluate site-specific market potential by store type and/or store cluster
TREND has assembled extensive data on neighborhood demographic, business, real estate, and other characteristics covering over 20 years.
The team is continuously developing and refining the analytical tools needed to understand consumers’ shopping choices and households’ choices. These tools are necessary to evaluate the feasibility of alternative retail investments, assess their impacts on retail corridor performance, and determine their likely impacts on neighborhoods.