Proposal using CRISP-DM (not coding): •Describe problem, data, prep, modeling, evaluation •When doing Data analysis, add before and after measurement per company •Use this survey to extract the data structures and the data lookup: https://european-digital-innovation-hubs.ec.europa.eu/open-dma •Generate random dataset with 1000 records for the form shown at open-dma link above. Strictly from what the form offers!!! Generate Before and then a After dataset (a separate one with improved results). Save it to excel as rawdma_before.xls and rawdma_after.xls •Process the data in python •Create a function in python that will generate individual reports (word or PDF format) – sample 5 reports (for delivery), not 1000 and produce them as files. •Create visuals for the web report or individual reports as needed. •Elaborate any correlation between variables (if and when applicable) •Apply linear regression to predict the Digital maturity level for an input variable. •Show top 10 best vs 10 worst cases in dashboard. •Final result should look like this https://digitalmaturity.org/results/ (we want this or similar, maybe streamlit) Deliverables: Both Excel Files; Python analysis code; Sample reports (5 pdf or word); web dashboard with items as per reference. Below you have sample data from previous reports delivered, such as: 1. Sample questionnaire from DMAT tool 2. Sample Results.pdf from DMAT tool response 3. Sample Dashboard from Digitalmaturity,org 4. Sample report from Gartner (for reference on models and visualizations) https://digitalmaturity.org/results/ https://european-digital-innovation-hubs.ec.europa.eu/open-dma