Mastering a complex environment
Target audience
- Internal auditors
- Bankers / Account managers
- Financial directors and controllers
- Chartered accountants
- Accounting managers
- Treasurers
1 day
Prerequisites :
No prior knowledge is required.
Objectives
◗ Step back from the data
◗ Judging a model's performance
◗ Contribute to a continuous improvement process
Training program
◗ Interrogating and understanding data
- Define different types of data (source, format, volume)
- Identify possible biases: collection, transformation, interpretation
- Understand the limits of a dataset without business documentation
✔ UNDERSTAND | Illustration: mapping a flow of financial data
✔ EVALUATE | Quiz: in your opinion... Is data always "objective"?
◗ Identifying the right questions to ask
- Link data to business issues: prediction, performance, alerts
- Avoid misleading correlations and apply the right filters
- Formulate explainable, verifiable, business-driven hypotheses
✔ UNDERSTANDING | Brainstorming: what does it mean to "challenge a piece of data"?
✔ APPLY | Case study: reformulating a dashboard alert into a testable hypothesis
✔ ASSESS | Quiz: what do you think... Does a drop in margin always imply a cost problem?
◗ Communicating effectively with Data teams
- Understand the role of the Data Analyst/Data Scientist
- Read an analysis report (KPIs, distributions, models, thresholds)
- Use a common vocabulary to challenge with confidence
✔ APPLY | Case study: critical analysis of an automated scoring report
✔ EXPERIMENTALIZE | Case study: responding to a data scientist on the business relevance of a model
✔ EVALUATE | Quiz: what do you think... What does an R² of 0.92 mean?
◗ Structuring your own Data requests
- Formulate a clear, prioritized requirement: decision, pilot, optimization
- Describe expected inputs, outputs and rules
- Formulate a readable brief that can be reused in recurring projects
✔ APPLY | Case study: building a data brief to analyze customer attrition
✔ ASSESS | Quiz: in your opinion... What information is useless in an analysis request?
Why choose this course?
In the opinion of all Data Analytics professionals, knowing how to challenge data is the main skill missing in organizations.
In just one day, this training course will give you the foundations of a skill that will become crucial in the future, especially for financiers.
Teaching and assessment methods
Before: self-assessment quiz
During the session: alternating theoretical developments and illustrations drawn from real-life situations. Practical case studies and interactive quizzes ensure knowledge acquisition throughout the course.
Afterwards: the trainer is available to answer any questions relating to the training.
General training | FinHarmony Conseil & Formation
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Price
1 295 € EXCL. TAX
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Data analytics training
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Jonathan C.
Company
Training