From data to useful insights
A self-help approach to make sense of the data under Excel
  • Data analytics, statistics, data analysis - Fundamental knowledge of statistics, data analysis (including correlation, regression and categorizing) and forecasting methods - Growth (decline) - Index calculations.

Target audience

- Accounting managers
- Bankers / Account Managers
- Chartered Accountants, Statutory Auditors
- Consolidation and Accounting Directors
- Financial Directors and Controllers
- Financial managers
- Treasurers

3 day

New training


It is recommanded to have a solid statistics background as well as an advanced Excel level, for example by having attended “Analyzing large amounts of data (Excel advanced)” and “Understanding the basics of statitics for business decisssion”.


– Translate raw data into useful information on which business decision can be based
– Start proceeding with analytical and predictive approach
– Be able to enforce basic principles under a systematic approach

Detailed content

> Reminder: the basics of data project management:

– Starting with business understanding
– Stakeholders, milestones, project management method
– Methodology: traditional or agile? making the right choice in terms of governance

> First step: defining useful information

– Reconsidering your business from a data user perspective
– Understanding what data are necessary to monitor my business (sensibility, drivers, impacting factors)
– How to include non-quantitative data

> Second step: defining and using business

– Creating a business oriented KPI based on information obtained in step one
– Setting target and improvement steps
– Controlling business performance

> Third step: Building descriptive and predictive models based on selected data

– General linear model, boosting, bagging and random forests, Bayes
– How to detect abnormal data
– Grouping via k-average and graphic modularity
– Monte-Carlo simulation in order to quantify and manage variability and risks
– Forecasting (moving average and exponential smoothing) and data quality checks
– Setting a feedback loop to improve next forecast
– Illustration: using Excel algorithm (linear and non-linear optimization)

> Fourth step: Assessing the conclusive reports

– Are your reports conform and conclusive compared to initial objectives?

> Fifth step: Implementing and sharing

– Building and evolutive architecture to your models and data
– Roles and responsibilities: from contributor to user

Why should you attend?

Do you intend to develop your own approach to Data Mining or have to answer business questions based on data analytics?
Do your day-to-day decisions concern marketing, logistics, production management, human resources, cash or controlling? This accessible training is the cornerstone of Data Analytics.

Training methods and assessment

Presentation and discussions. Interactive and concrete business case studies in small teams combined with group discussions. Excel models are provided to participants
Assessment questionnaire.
A training certificate is delivered at the end of the session.

The trainer is available by e-mail to answer any follow-up questions participants may have.


2 150 € Excl. VAT – 2 580 € Incl. VAT



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Jonathan C.