We optimize your return on investment by improving the success rate of your data science efforts. We accomplish this by a better risk management of your portfolio of projects, by reducing the human inefficiencies that threaten the success of those projects, by hiring and growing a talented in-house team, and by offering these services with a flexible cost structure that you can tailor to your budget. In doing so we overcome the main reasons why data science projects fail.
Firstly, we choose data science projects for their potential impact on the company’s bottom line, and how well they complement each other. Diversification along axes like complexity, time horizon, and business lines is a must. This results in an optimal portfolio of projects that defines your data science strategy. This is very similar to what pharmaceutical firms do with their portfolio of R&D drugs.
Next, we work with your human resources department and/or external recruiters to identify the candidates needed to implement this strategy. Our background positions us to identify the right profiles, hence reducing the time you spend to hire this team.
Lastly, we improve collaboration and communication between the business, the data science team and IT, hereby reducing the number of projects that fail. In a world where companies hire almost exclusively specialists, generalists are the missing piece required to bridge the gaps between the different business functions. As such, we speak the language of the business stakeholders, modelers and developers, thanks to our domain knowledge, modeling expertise, development skills and understanding of human behavior.