Università di Bologna · Prof. Vittorio Maniezzo · a.a. 2025/2026

Operational Analytics

10 chapters~7 hours of study59 interactive widgets
The operational analytics loop: operations produce data, descriptive statistics summarise it, predictive models extend it into the future, prescriptive optimization turns forecasts into decisions that act back on operations. OPERATIONS machines, stores, crews, orders DESCRIPTIVE what happened (ch. 8) PREDICTIVE what will happen (ch. 2–7) PRESCRIPTIVE what to do (ch. 10) data series forecast decision taken NOW acts back on operations FASTER DECISIONS · FAULT FIXING · PRODUCTIVITY the three payoffs the whole loop is built to deliver
Plate 00 — The whole course in one figure: three stages of analysis and the decision loop that closes it.

How to study

I

Framing the field

  1. 01Operational analytics: scope, applications and the exam project22 min · 4 widgets
II

Predictive analytics

  1. 02Time series, decomposition and the empirical STL38 min · 6 widgets
  2. 03Preprocessing: stationarity, transforms and denoising40 min · 6 widgets
  3. 04Statistical models: from AR to SARIMAX, smoothing and Theta48 min · 6 widgets
  4. 05Neural models: MLP, RNN, LSTM and GRU36 min · 6 widgets
  5. 06Machine learning models: SVR, trees and ensembles38 min · 6 widgets
  6. 07Attention and transformers for forecasting34 min · 6 widgets
III

Statistics

  1. 08Statistics: descriptive measures and hypothesis testing50 min · 6 widgets
IV

Optimization for analytics

  1. 09Parameter fitting: from least squares to black-box search45 min · 6 widgets
  2. 10Prescriptive analytics: optimization for decisions50 min · 7 widgets