Our Mission

To provide the fastest, most scalable, and easiest to use R packages focused on solving business and financial analysis problems.


Our goal is to solve problems by creating “a better way.” We develop professional-grade, open-source software for use with the R statistical programming language. Using this software, we provide consulting services to help users apply data science, machine learning, and artificial intelligence to solve business problems.

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Business Science
Open Source Software for Business & Financial Analysis

Our Motivation

During an analytical endeavour, have you ever asked yourself, "Is there a better way?"


We believe there is, and it involves the R Programming Language. We provide solutions in the realm of business and financial analysis through the development of fast, scalable and user-friendly open-source R software.

We seek to assist users in using our Open Source R Packages to solve business or financial analysis problems. Our focus is working with clients that:

  • Have an interest in applying data science techniques in the realm of business and finance
  • Are seeking a competitive edge by implementing machine learning or artificial intelligence
  • Are interested in using R and potentially transitioning from SAS, Stata, Microsoft Excel, or any other language/platform that is not R

We believe R is the right analytics approach for several reasons:

  • Open-source
  • Over 12,000 packages employing the latest statistical & visualization techniques
  • Web-based interactive applications with Shiny
  • Integrated tools for reporting including Rmarkdown
  • An active and welcoming R Community
  • Highly scalable

Our Values

  • Customer Focus: We hold the client above all else
  • Strategic Partnerships: We are not looking for a one-time job, but rather to grow with clients in a collaborative way
  • Leaders in Analytics: We are experts in a variety of data science tools
  • Creative Problem Solving: We use a combination of innovation and creativity to help clients solve problems

Our Team

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Matt Dancho
Founder, Director of Product Development

A software developer and executive management professional with a background in engineering, sales and data science. Has successfully implemented cutting edge data science techniques in a variety of finance and marketing areas. The creator of tidyquant and timekit and founder of Business Science. Leads development efforts for products and services. Holds the following degrees:

  • Bachelor of Science in Mechanical Engineering (Penn State)
  • Master of Business Administration (Penn State)
  • Master of Science in Industrial Engineering (Pitt)

Loves working on software projects and traveling the world with his wife! Highly interested in time series problems, financial or otherwise.

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Davis Vaughan
Software Engineer

A student at the University of North Carolina at Charlotte with a background in mathematics, actuarial science and financial analysis. Develops software to make your life easier. Has experience building and maintaining complex R software packages. Working towards the following degrees:

  • Bachelor of Science in Mathematics for Business (UNC Charlotte)
  • Master of Science in Mathematical Finance (UNC Charlotte)

Loves automating tasks and convincing people to switch from Excel to R. Very interested in applying data science and machine learning algorithms in financial applications.