Time Series Forecasting – Jupiter Python
⦁ What use case has your group selected? What are we trying to sell and to whom?
- Who is the user we are building the product for? What does the user want to accomplish? – Jobs to be Done .
- What data do we need to create a forecasting app/tool/product? – Address these 2 points in a word document.
⦁ Why would somebody buy this product or service? – Discovery Hypothesis
- What is the value proposition? What problem does the product solve for customers?
- What economic benefits can a customer expect? Time or money savings?
- What makes the product better and different from best available alternatives?
- What other products, services or infrastructure is needed to get full value from the product?
⦁ Who are potential buyers of the product or service? – Buyer Persona
⦁ Presentation and storytelling.
⦁ Wireframe of your time series app using Balsamiq or any other tool of choice.
⦁ Jupyter notebook with the details about the data used for the analysis, insights generated, and forecasts created.
