Predicting Startup Performance Metrics**

Funding Details
Natural Sciences and Engineering Research Council of Canada
  • Grant type: Engage Grants Program
  • Year: 2018/19
  • Total Funding: $25,000
Keywords
Principle Investigator(s)
Collaborator(s)

No researchers found.

Partners

Project Summary

Today, there is no standardized report card for private market businesses, no common way to describe the maturity or potential chance of success the business has. Amongst its initial goals, our industrial partner, FastApps, is creating an automated holistic business analysis and benchmarking platform to facilitate the calculation of a probability of success of early stage companies. This project will be an instrumental step towards: 1) develop software that will automatically gather publicly available data on Canadian companies and process this into a machine readable/measurable format; 2) create a set of metrics, which would be indicative of a company's level of success to enable investment and consulting firms to have access to more transparent data about potential future outcomes with regards to their investments; and, 3) provide a predictive analysis tool that helps in understanding which companies will be successful in a given time period.

Related Projects

Given the pivotal significance of understanding customers' interests through systematic monitoring and analysis of social media platforms for call centers, this proposed research project will address important research challenges related to social me... More ...
It has been reported that 90% of all the data in the world has been generated over the past two years either through user-generated content or by scientific or industrial entities. Analytics software applications, large-scale and data-intensive, can ... More ...
This project focuses on developing techniques within a unique platform for product knowledge base development, management and use. Our work is based on the following assumptions: i) The Web is a rich environment for extracting product information as ... More ...