We bring a unique "science-of-business" methodology to our data science strategic services -- emphasizing experimentation and data-driven decision making as catalysts of organizational success
Business strategies are converted into hypotheses linking quantifiable factors to leading indicators to final performance (lagging or outcome) indicators in such a way that they are testable with experiments and analytics.
Each hypotheses takes form with something like “The more of factor A that we do, the higher leading indicator B, which in turn leads to an increase of performance measure C.”
Once the hypotheses and chains linking factors to outcomes are outlined in this strategy map, metrics representing the indicators are constructed and analytical models can be formulated to test hypotheses.
With our methodology, you'll direct data science initiatives to investigations that matter and avoid never-ending research projects.