Turn information into better business decisions with AI
Connect data strategy and business intelligence with finance, planning and people performance. Explore how AI supports analysis, forecasting and management control in fashion companies.
AI for Smart Data, Finance & Business Intelligence
From information to better decisions.
A practical module for fashion professionals who want to strengthen data foundations, explore predictive intelligence and apply AI to financial planning and people analytics.
Module overview
Module 5 connects the data lifecycle with the decisions that shape fashion business performance. Understand how collection, cleaning, integration, analysis and governance support useful business intelligence.
Day 1 explores structured and unstructured data, models for product, customer, sales, inventory and marketing data, dashboards and the move from descriptive reporting to predictive and prescriptive decision-making. A practice lab helps you design the data flow for one key fashion business process.
Day 2 examines budgeting, forecasting, financial analysis, channel margins, cash flow and profitability, alongside AI applications in HR and people analytics. Case studies and discussion connect these topics with management control. The practical output is an AI dashboard brief for finance, BI or management control.
Module key facts
Dates
27 November and 4 December 2026
Live online + 12-month replay
Duration
6 teaching hours across two sessions
Session times
15:00–18:00 on both days
Timezone to be confirmed: the supplied programme labels these times CEST.
Language
English – English subtitles. Other languages available on demand.
Practical outputs
Data flow design for a fashion business process and an AI dashboard brief for finance, BI or management control
Enrolment
Contact us for module availability, fees and enrolment details.
Learning outcomes
By the end of this module, you will be able to:
- Understand the data lifecycle: connect collection, cleaning, integration and analysis with business decisions.
- Assess fashion data foundations: distinguish structured and unstructured data and explore models for product, customer, sales, inventory and marketing information.
- Evaluate business intelligence: relate dashboards and metrics to descriptive, predictive and prescriptive decision-making.
- Define data governance priorities: consider ownership, quality, accessibility and accountability.
- Explore AI for financial planning: assess budgeting, forecasting, scenario planning and margin simulation.
- Connect AI with fashion profitability: examine channel margins, COGS, markdown budgets, cash flow and inventory valuation.
- Assess people analytics applications: explore recruiting, skills mapping, performance support, training and organisational risk.
- Recognise application limits: consider privacy and bias in HR and finance AI use cases.
- Translate needs into practical briefs: design a business process data flow and an AI dashboard brief.
AI for Smart Data, Finance & Business Intelligence Programme
Two sessions connect data strategy and predictive intelligence with financial planning and people performance.
Day 1: Data Strategy, BI and Predictive Intelligence
27 Nov 2026 — 3 hours
- The data lifecycle: collection, cleaning, integration, analysis and decision-making
Instructor: Giovanni Lorenzoni (BitBang) - Structured vs unstructured data in fashion
Instructor: Giovanni Lorenzoni (BitBang) - Data models for product, customer, sales, inventory and marketing
Instructor: Marco Ruffa (DataLife) - Analytics and Business Intelligence: dashboards, metrics and predictive intelligence
Instructor: Marco Ruffa - From descriptive reporting to predictive and prescriptive decision-making
Instructor: Filippo Chiari - Data governance: ownership, quality, accessibility and accountability
Instructor: Filippo Chiari - Practice lab: design the data flow for one key fashion business process
Instructor: Filippo Chiari
Day 2: AI for Finance, Planning and People Performance
04 Dec 2026 — 3 hours
- AI for budgeting, forecasting and financial analysis
Instructor: Gionata Galdenzi - Fashion P&L structure: wholesale vs retail vs ecommerce margins, COGS and markdown budget management
Instructor: Gionata Galdenzi - Scenario planning and margin simulation
Instructor: To be confirmed - AI for P&L control, cash flow, inventory valuation and profitability analysis
Instructor: Gionata Galdenzi - Case study: AI for budgeting, forecasting and financial analysis
Instructor: Edoardo Aliprandi - Output: AI dashboard brief for finance, BI or management control
Instructor: Edoardo Aliprandi - AI in HR: recruiting, skills mapping, performance support and training
Instructor: Cristian Trapani - People analytics, organisational risk and AI impact on fashion job roles
Instructor: Cristian Trapani - Limits, privacy and bias in HR and finance AI applications
Instructor: Cristian Trapani - Case discussion: AI for management control in a multi-channel fashion business
Instructor: Cristian Trapani
Benefits of applying AI to fashion data and business intelligence
Explore how stronger data foundations can support planning and management decisions.
- Connect information: understand how data from different fashion business functions can inform analysis.
- Move beyond reporting: explore predictive and prescriptive approaches to decision-making.
- Strengthen financial planning: assess AI opportunities in forecasting, scenario modelling and profitability analysis.
- Support responsible people decisions: consider the value and limitations of HR analytics.
- Clarify requirements: turn a business need into a data flow design and dashboard brief.
Who is this module for?
Designed for fashion and luxury professionals working with business data, finance and organisational performance.
- Finance, planning and management control professionals.
- Business intelligence, analytics and data teams.
- Ecommerce, retail and wholesale managers analysing channel performance.
- HR and learning professionals exploring AI and people analytics.
- Business leaders, entrepreneurs and digital transformation professionals.
Why choose this module?
Develop a connected perspective on data, financial performance and people analytics.
- Fashion business context: explore data models, channel margins, COGS, markdown budgets and inventory valuation.
- Practical data foundations: connect the data lifecycle with governance and decision-making.
- Financial applications: examine budgeting, forecasting, margin simulation and management control.
- Useful outputs: design a process data flow and develop an AI dashboard brief.
Learning experience & methodology
The module combines instructor-led sessions, a practical data flow lab, a finance case study and management control discussion.
- Explore the data lifecycle, fashion data models and governance.
- Examine dashboards, metrics and predictive intelligence.
- Design the data flow for one key fashion business process.
- Assess budgeting, forecasting, P&L, cash flow and profitability applications.
- Discuss HR use cases, people analytics, privacy and bias.
- Develop an AI dashboard brief for finance, BI or management control.
The emphasis is on connecting data requirements with business questions and informed decisions.
Module instructors
Learn from data, finance and people performance specialists
The descriptions below reflect each instructor’s scheduled teaching topics. The scenario planning and margin simulation session has no named instructor in the supplied programme.
Giovanni Lorenzoni
Data lifecycle and structured versus unstructured data in fashion.
Programme sponsor: BitBang
Marco Ruffa
Fashion data models, analytics, dashboards, metrics and predictive intelligence.
Programme sponsor: DataLife
Filippo Chiari
Predictive and prescriptive decision-making, data governance and the business process data flow lab.
Gionata Galdenzi
Budgeting, forecasting, financial analysis, fashion P&L, channel margins, COGS, cash flow and profitability.
Edoardo Aliprandi
Finance case study and AI dashboard brief for finance, BI or management control.
Cristian Trapani
AI in HR, people analytics, organisational risk, job roles, privacy and bias, and management control case discussion.
Executive Master in AI for Fashion
Build your skills within the Executive Master
This module forms part of the Executive Master in AI for Fashion. For certification requirements and any certificate available for standalone module participation, please contact Digital Fashion Academy.
Standalone module or full Executive Master
Choose this standalone module to develop focused capability in one area. Choose the full AI for Fashion Executive Master to connect use cases across the value chain and build an organisation-wide adoption roadmap.
Standalone module
Explore AI for smart data, finance and business intelligence. Contact us for module availability, fees and enrolment details.
- 6 hours focused on AI for Smart Data, Finance & Business Intelligence
- Module fee: €490
- 12-month replay access
- Module materials, exercises and certificate
Explore the Executive Master
Build a broader understanding of AI across the fashion value chain with the Executive Master in AI for Fashion.
- 48 hours across 8 modules
- Integrated coverage of the fashion value chain
- Cross-functional portfolio
- Final AI Adoption Roadmap
- Programme fee: €2,150
- Three mentoring sessions
FAQs
When does Module 5 take place?
The sessions are scheduled for 27 November and 4 December 2026, from 15:00 to 18:00. Please confirm the timezone with Digital Fashion Academy: the supplied programme labels these times CEST.
How long is the module?
Six teaching hours across two sessions of three hours each.
Are the sessions recorded?
Yes. Sessions are delivered live online and recordings remain available for 12 months.
Will I practise applying the concepts?
Yes. Day 1 includes a lab to design the data flow for one key fashion business process. The module also includes a finance case study and an AI dashboard brief for finance, BI or management control.
Will I receive a certificate?
Participants who complete the module receive a module-specific certificate of attendance, distinct from the certificate for the full Executive Master.
Does the module cover data governance?
Yes. Topics include ownership, quality, accessibility and accountability, alongside the data lifecycle and fashion data models.
Does the module cover financial planning?
Yes. Day 2 includes budgeting, forecasting, financial analysis, scenario planning, margin simulation, P&L control, cash flow, inventory valuation and profitability.
Does the module cover HR and people analytics?
Yes. Topics include recruiting, skills mapping, performance support, training, organisational risk and AI impact on fashion job roles, together with privacy and bias considerations.
Do I need technical knowledge?
No coding knowledge is required. The module is designed for fashion professionals and business leaders. A working knowledge of English is required.
What is included in the module fee?
Two live online sessions, 12-month recording access, learning materials, practical exercises and a module-specific certificate of attendance. Contact us to confirm fees and availability.
Is mentoring included?
The three individual mentoring sessions are included with the full Executive Master. Contact us for separate mentoring options.
Can I enrol in this module only?
Yes. Contact us using the form below for standalone module enrolment or team participation.
Where can I find the full Master programme?
Visit the Executive Master in AI for Fashion page.
AI for Smart Data, Finance & Business Intelligence — Contact us
Ask about Module 5, team participation or enrolment in the Executive Master in AI for Fashion.