Academy

Training built around your company’s work.

We design training for company teams, adapting content, level and practical exercises to their roles and operational goals.

  1. 01Company courses
  2. 02Solution training

Company courses

Six courses, each with its own page. The matrix shows which roles each course is designed for.

Courses by role: who each course is designed for and its reference duration.
CourseHoursOwners and managementFinance and administrationControllersOperations and productionSalesData and ITSustainabilityConsultants
Management Control for SMEs24 hYesYesYesYesNoNoNoYes
Budgeting, Forecasting and Variance Analysis16 hYesYesYesYesYesNoNoNo
Reporting by Business Unit, Job, Customer and Product Line16 hYesYesYesYesYesNoNoNo
Advanced Data Analysis Tools32 hNoYesYesNoNoYesNoYes
Energy, Sustainability and ESG16 hYesYesYesYesNoNoYesNo
AI for Process Analysis16 hYesYesYesYesNoNoNoYes

Durations and programmes are the reference structure: content, level, examples and format are agreed with each company. These programmes are for companies.

Let’s design your training

The courses in brief

Management control

Management Control for SMEs

The foundations of management control for an SME: costs, margins, responsibility centres and a control model sized to the company.

Goals

  • tell statutory accounts from management accounts
  • understand how company costs are structured
  • set up a cost accounting model
  • calculate margins by product, customer, job or area
  • read the main economic levers of the business
  • set up a basic management control model for an SME

Sections

  1. 01Management control fundamentals
  2. 02The company’s economic structure
  3. 03Cost accounting and cost centres
  4. 04Product cost and operating processes
  5. 05Margins, break-even and economic levers
  6. 06A control model for the SME
Reference duration
24 hours
Structure
6 sections · 24 one-hour chapters
Approach
Foundational, managerial, applied
Audience
Business owners, finance and administration managers, controllers, operations managers, business consultants
Course output
A management income statement and a basic margin model

Management control

Budgeting, Forecasting and Variance Analysis

A working method to build the budget, update forecasts during the year and read the variances between targets and results.

Goals

  • set up a consistent budgeting process
  • build operating budgets by business area
  • connect sales, production and financial targets
  • read variances between budget and actual
  • build periodic control reports

Sections

  1. 01Budget logic and architecture
  2. 02Building operating budgets
  3. 03Forecasts and scenarios
  4. 04Variance analysis and reporting
Reference duration
16 hours
Structure
4 sections · 16 one-hour chapters
Approach
Operational, forward-looking, managerial
Audience
Business owners, administration staff, controllers, sales managers, operations managers
Course output
A budget model and a budget-versus-actual report

Management control

Reporting by Business Unit, Job, Customer and Product Line

Management reports built for decisions, beyond the overall accounts: by job, customer, product, line and business unit.

Goals

  • identify the main dimensions of management analysis
  • build reports by job, customer, product, line or business unit
  • interpret margins and indicators by responsibility area
  • connect financial reporting with operating decisions
  • design concise management dashboards

Sections

  1. 01From accounting data to decision reports
  2. 02Reporting by responsibility area and business unit
  3. 03Reporting by job, customer and channel
  4. 04Industrial reporting and management dashboards
Reference duration
16 hours
Structure
4 sections · 16 one-hour chapters
Approach
Managerial, operational, multidimensional
Audience
Business owners, controllers, finance and administration managers, sales managers, production managers
Course output
A management report by customer, product, job or business unit

Data and business intelligence

Advanced Data Analysis Tools

From accounting, sales and operating data to analysis models, reports and dashboards, with Excel, Power Query, SQL, Power Pivot and Power BI.

Goals

  • understand the management data supply chain
  • import, clean and transform company data
  • model data for management analysis
  • use Excel, Power Query, SQL, Power Pivot and Power BI for management work
  • build management dashboards
  • run quality and reconciliation checks

Sections

  1. 01The management data supply chain
  2. 02Advanced Excel for management control
  3. 03Power Query to import and transform
  4. 04SQL for management analysis
  5. 05Data modelling for control
  6. 06Power Pivot and basic DAX
  7. 07Power BI for management dashboards
  8. 08Project work and model quality
Reference duration
32 hours
Structure
8 sections · 32 one-hour chapters
Approach
Hands-on, data-driven, applied
Audience
Controllers, data analysts, advanced finance and administration managers, consultants, IT and business roles
Course output
A structured dataset, a data model and a management dashboard

Energy and ESG

Energy, Sustainability and ESG

Energy and sustainability as measurable dimensions of management control: data, KPIs and an economic reading of impacts.

Goals

  • understand how sustainability, energy and management control relate
  • organise energy and environmental data
  • calculate basic energy KPIs
  • connect consumption, costs, processes and margins
  • build a management dashboard for energy and ESG

Sections

  1. 01ESG, energy and management control
  2. 02Collecting and organising energy data
  3. 03Energy, environmental and economic KPIs
  4. 04Energy and ESG dashboards and decisions
Reference duration
16 hours
Structure
4 sections · 16 one-hour chapters
Approach
Managerial, energy-focused, data-driven
Audience
Business owners, controllers, finance and administration managers, operations managers, people involved in sustainability
Course output
An energy and ESG dashboard and a set of energy KPIs

AI and processes

AI for Process Analysis

Generative AI as support for process analysis, documentation, reporting and organisational improvement, with clear rules of control.

Goals

  • understand what generative AI can and cannot do in a company
  • use AI to describe, analyse and improve processes
  • write working prompts for business functions
  • support reporting, documentation and variance analysis
  • set minimum rules for AI governance and control

Sections

  1. 01Generative AI in the company
  2. 02Process analysis and mapping
  3. 03AI for control, reporting and documents
  4. 04Working prompts, governance and final case
Reference duration
16 hours
Structure
4 sections · 16 one-hour chapters
Approach
Applied, organisational, operational
Audience
Business owners, controllers, finance and administration managers, operations managers, consultants, people involved in innovation and processes
Course output
A process map, checklists, a prompt library and a management summary

Solution training

From delivery to confident, independent use.

We support users of adopted solutions, from understanding the model’s rules and interpreting results to recurring tasks and exception handling.

  1. 01

    Roles and rules

    Definitions, responsibilities, visibility and model limits for each role.

  2. 02

    Guided practice

    Relevant cases in the adopted solution, using examples close to everyday work.

  3. 03

    First supported cycle

    An agreed reporting or operating cycle, including how to handle exceptions.

  4. 04

    Independent use and references

    Role-based instructions, checks, escalation paths and an agreed follow-up.

The path adapts to management, controllers and technical staff. Training can start with the pilot and accompany rollout; sessions, materials and support are agreed as part of the engagement.

Training starts from real work.

Training for company teams and hands-on support for the solutions you adopt.

Plan your training

How training runs

  1. 01Company coursesCommon ground for people who work with data and models.
  2. 02Solution trainingBy role, on the tools and models that were adopted.
  3. 03Everyday useRepeatable processes and independent users.