Welcome to ClaroMente: The Clarofy Information Hub!
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In this section we will take you through a typical data science workflow. We will dive a bit deeper into each step and will provide you with hints about what to look for.
The workflow will follow the steps below.
The above stages are at the center of the Clarofy app - a typical analytics project makes most sense when done within a structured process like the above.
Having a hypothesis before starting an analytics project is critical.
Before we plunge into an analytics project, it's important to ask questions and discuss the 'business understanding' with all the major stakeholders. This is essentially an exercise to define the question: What is the problem we are trying to solve, or what is the opportunity we are trying to uncover? Hearing the answer to that from the Product owner or other stakeholder clarifies the goal of the projects and is an anchor for any work.
Here we will dive into Clarofy features, explain how they work, what to use them for, and how each one of them can help you bring value to your operation.
The Exploration Plots page allows you to investigate and discover trends, relationships, inflection points and other intricacies in your data.