Data Literacy Workshop: Understanding, Interpreting and Using Data

Our Offer

Our practice-oriented Data Literacy Workshop provides professionals as well as managers and decision makers in companies with the necessary skills to understand, correctly interpret and make sense of data. The goal of the workshop is to help you find your way through the buzzword jungle with the numerous terms such as raw data, data quality, data warehouse, data lake, etc. and to be able to have your say.

Ein Umdenken muss jetzt stattfinden! Unternehmen müssen weg von isolierten Lösungen, hin zu sogenannten Daten-Plattformen, die alle relevanten Daten zentral und in hoher Qualität vorhalten. Gleichzeitig sollten sie flexibel genug sein, um mit steigenden Anforderungen und Datenmengen mitzuhalten.

Why INFORM DataLab for a Data Literacy Workshop?

As experts in the field of data management, business intelligence & artificial intelligence, we have many years of experience and have successfully accompanied numerous companies on their way to becoming a data-driven company. We strive to simplify the entry into the strategic use of data for companies so that they can make faster and more informed decisions and thus remain competitive in the long term.

A key aspect that sets INFORM DataLab apart is the development of sustainable data strategies. It's not just about providing you with short-term solutions, but also about working closely with you to develop long-term mechanisms that address your future needs and requirements. Our iterative approach allows us to achieve quick wins together.

To ensure that you can make an informed decision regarding your data strategy in the jungle of different concepts, technologies and vendors, we offer different workshop options. This way, you can be sure that you are starting off on the right foot.

Data Literacy Workshop

Price is composed individually according to effort

Request Workshop

Assistance with ordering:: +49 (0) 2408 9456 - 9000

When is the workshop suitable for you?

  • You already have basic knowledge in data analysis or you are still in the initial phase of your project
  • You want to improve your skills in handling data, e.g. collecting, organizing and analyzing it
  • You want to find an overview in the buzzword jungle of data analysis and know how to apply machine learning and artificial intelligence to data to make automated decisions

What to expect:

In the first part of the workshop you will learn what a data warehouse and a data lake are and how to get the data. You will understand how data is stored and how you can access it. In the second part, you will be introduced to data visualization, learn how to build a dashboard and which charts are the right ones to interpret data correctly. Important aspects of visualizing data will also be covered to help you create meaningful visualizations.

The third part of the workshop will cover aggregation methods. You will understand the difference between mean, median and mode and gain basic knowledge of normal distribution and statistics. In the last part, you will learn how to find and define the right metrics to measure your company. You will learn which metrics are relevant and how to use them effectively to better understand your company.

Optionally, you can participate in a hands-on workshop where you can solve predefined tasks to apply your newly learned skills and put your knowledge into practice.

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Additional information about this product

  • Process

  • Target Audience

  • Optional

Remote / on-site at your location / on-site at INFORM DataLab Aachen

4 blocks of 2 hours each (individual arrangement possible on request)

Part 1:

Data storage

  • What is a data warehouse? What is a data lake? How do you get at the data?

Part 2:


  • How do I build an interface? Which diagrams are the right ones and how do I interpret them correctly? What do I have to consider?

Part 3:


  • What is the difference between a mean, a median and a mode?
  • Normal distribution and simple introduction to statistics

Part 4:

Finding the right key figures

  • What are the right metrics to measure my company and how do I define them?

Part 5 (optionally bookable):


  • Predefined task for the training participants

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