Something's not quite right in the plant? Use Clarofy's powerful exploration tools to compare multiple time periods and relationships to investigate what has happened and why. Have the answers in time for the pre-start meeting!

Clarofy's T-testing and ANOVA evaluation tools will remove the impact of anecdotal evidence and 'gut-feel' decision making, to assign a statistical significance on changes seen in the plant. 

Do you remember writing hypotheses for your science experiments? Working with data is a series of experiments where we 'ask' the data questions and make decisions based on what we uncover. An analytics or data science hypothesis is pivotal for your project in the same way that the scientific hypothesis would guide your actions and help you plan your experiment.

Use our proven Hypothesis Builder Canvas to start your journey; it will enable less scope creep, data-driven decisions, whole team on board, and Clearer outcomes that are easier to convey.