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.
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:
We believe R is the right analytics approach for several reasons:
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
timekit and founder of Business Science. Leads development efforts for products and services. Holds the following degrees:
Loves working on software projects and traveling the world with his wife! Highly interested in time series problems, financial or otherwise.
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:
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.