Building an Analytics-Driven Culture

  • Large-scale, multi-tenant analytic database as a service, similar to Cloudant and Dynamo but tuned/configured specifically for analytical workloads with the appropriate network infrastructure to support large loads
  • Large-scale, multi-tenant statistics as a service — equivalent functionality to SPSS, R, SAS, but hosted and available as an affordable Web service. The best example of this right now is probably Revolution. I guess the acronym would be Statistics as a Service — or Statistics as a Utility
  • Radically better visualization tools and services: I think that HTML5 has clearly enabled this and is making tools like Ben Fry’s Processing more accessible so that the masses can do “artful analytics”

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Located in the heart of Harvard Square, Koa Labs is a Seed Fund for promising start-ups. http://koalab.com