Develop Process and Algorithm to Score a Company’s Maturity and Buzz

Project Description

This project is being offered by a Big 4 professional services firm. In the project, we would like to create a scoring system for companies that reflect a company's "Maturity" and "Buzz".  Maturity is roughly defined as the intrinsic characteristics of a company that signal it is ready for large enterprise engagement.  Buzz is roughly defined as the extrinsic signals that indicate a company is attracting interest/attention from the market. 

For the project, we would like assistance in answering the following questions:

• What factors should be inputs for the Maturity and Buzz scores so that they measure the desired company characteristics?
• Should the Maturity and Buzz scores be absolute measures or be relative to a population, and what are the tradeoffs of each approach?
• How should the scoring factors be combined into a valid, robust quantitative output?
• How should the scoring system be designed to account for data gaps in the input variables?
• How should non-quantitative company attributes (i.e. funding stage) be factored into the scoring system?

The company scores will be used as part of a sensing program to identify potential vendors to examine more closely.

As inputs for the scoring system, we have access to data on a range of company attributes provided by data vendors such as MatterMark, CBI Insights, and Quid.  We have a preference for using MatterMark data given the terms of our subscription. We are open to considering other data sources if it would result in a meaningful improvement in the scoring system.

We also have available a list of approximately 75 companies we have engaged with as vendors and a longer list of 1000-2000 companies that have been identified based on referrals and other poorly defined factors. 

To validate that proposed Maturity and Buzz score formulas are generating the desired output, members of our team can provide feedback on the relative scoring of companies we would expect.

The expected deliverable for this project would be:

• A defined process for transforming available company data into a format that can be used in a scoring formula for Maturity and Buzz, respectively.
• Robust scoring formulas that measure Maturity and Buzz respectively. 

In person meetings may be required in New York or San Francisco, based on candidate's location.