Data training - Learning how to use data in business

In a context of increasing digitalization, the ability to understand and make the most of data is becoming an essential performance lever. This data training course is designed for professionals wishing to get to grips with the fundamentals of enterprise data analytics. You'll learn how to identify useful data, interpret its meaning, and transform it into actionable information to guide your decisions.

Thanks to our hands-on approach, you'll learn how data impacts finance, management control, marketing and operations. Illustrated by real-life use cases, this course will help you move from raw data to value-added analysis.

Prerequisites

No prior knowledge is required.

Data training objectives

◗ Measuring the importance of data today and the opportunities offered by the Data revolution.

◗ Exploit available tools and their fields of application

◗ Make the most of Data Analytics to anticipate changes, manage business and support decision-making.

Training program

◗ Measuring the scale of the Data revolution

- Changes linked to the explosion in data volumes
- The strategic role of data in the enterprise
- New data-centric products, services and organizations

✔ UNDERSTAND | Illustration: evolution of Data uses in key sectors.
✔ ASSESS | Quiz: in your opinion... Are all functions concerned by Big Data?

◗ Understanding Big Data and its challenges

- Defining Big Data through the 5Vs (Volume, Velocity, Variety, Veracity, Value)
- Links between Big Data, BI, AI and Machine Learning
- Practical applications in the financial sector

✔ UNDERSTAND | Case study: analysis of a Data value chain (from raw data to knowledge)
✔ EVALUATE | Quiz: in your opinion... What are the data quality issues for the company?

◗ Understanding the logic of predictive models

- Modeling a business decision
- How Machine Learning algorithms work
- Prediction vs. judgment vs. action
- Stages of a predictive analytics project

✔ APPLY | Case study: identify the data required for a sales
forecasting model
✔ UNDERSTAND | Illustration: Data-driven decision cycle in the company
✔ EVALUATE | Quiz: in your opinion... Which algorithm to answer which question?

◗ Structuring an effective analytical approach

- Project approach: understanding, acquisition, preparation, modeling, deployment
- Business Intelligence and Data Analytics tools
- Key questions for transforming data into value, key success factors
- Data sources, relational and dimensional databases, granularity, dimensions, facts

✔ EXPERIMENT | Workshop: building a simple descriptive analysis matrix
(data > info > value)
✔ ASSESS | Quiz: in your opinion... What should a relevant data model contain?

◗ Governing data and developing a Data culture

- Governance, security, quality and compliance (RGPD, traceability, etc.)
- New data professions: data analyst, data scientist, etc.
- The role of the financier as information prescriber

✔ UNDERSTAND | Brainstorming: what roles for finance in data governance?
✔ APPLY | Case study: identifying the actions to be taken to develop
a data culture

Why train in data management?

This module is an essential prerequisite for Data Analytics in finance. In just one day, it will give you all the vocabulary and keys to understanding the subject, open up the world of possibilities and take stock of the tools available. At the end of this training course, you'll be able to define your own skills enhancement path based on the context of your function and your needs.

Teaching and assessment methods

Before : self-assessment quiz.

During the session: the many illustrations and interactive presentations ensure that knowledge is acquired throughout the course.

Afterwards: documentation.
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

Testimonials

Data Training