About RDS

What is Resource Data Solutions?

Resource Data Solutions is a database, offered by Valley Innovation Alliance (VIA), that includes more than 25 demographic and innovation datasets. Resource Data Solutions aids in economic development and workforce-related decisions and can dynamically aggregate, compare, rank, and map numerous datasets on demand.

How can Resource Data Solutions benefit me and my organization?

Resource Data Solutions saves you time, increasing the efficiency and effectiveness of your data search efforts. This resource combines current datasets with cutting edge GIS mapping and technological capabilities allowing custom data-oriented reports to support decisions and monitor progress. Rather than spend time and money gathering information from disparate, redundant, and often incompatible sources, Resource Data Solutions can quickly extract data in multiple visual and file formats, conduct detailed benchmarking analyses, and ultimately assess a region’s innovation capacity.

What makes Resource Data Solutions unique?

In addition to its dynamic functionality, demographic, business and innovation datasets, Resource Data Solutions offers these key features:

  • Reports and maps for any geography in the U.S. including block groups, census tracts, zip codes, cities, counties, MSAs, WIB areas, and states
  • Summary reports of multiple geographies
  • Comparison/Benchmarking reports of up to 16 geographies side-by-side
  • Rank 100’s of geographies
  • Create demographic reports for any geography in the U.S
  • Custom Reports geared to your targeted industries to help build and expand your regional economy
  • Research NAICS Business Summary data for employee and establishment counts by geography
  • Upload custom locations, assets, inventory or any other point level data for custom outputs
  • Customized GIS Mapping by any demographic variable
  • Create your own custom geographies or upload your .shp files to analyze custom geographies
  • And more…

Funded by a grant from the U.S. Department of Labor under the WIRED Initiative

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Funded by a grant from the U.S. Department of Labor under the WIRED Initiative
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