Sector-specific

Thick Data and Big Data

Big Data can be applied to a multitude of fields and work sectors. Therefore, this training on Thick Data and Big Data is aimed at anyone interested in learning how relevant conclusions can be drawn for decision making thanks to an analysis of large amounts of information and how to give them context and added value through Thick Data.

7 am

Desarrollo de Big Data y Business Intelligence

Detecting trends, analyzing behavioral patterns, getting to know customers better, these are some of the benefits that Big Data achieves, but it is worth asking whether the information provided by the management and analysis of massive data is really enough.

The mistake today in many Big Data strategies is to give more weight to quantitative data than to qualitative data. Putting blind faith in numbers while avoiding the so-called ‘dense’ and more complex data, called Thick Data can be a mistake in the long run.

Through this training in Thick Data and Big Data you will acquire the necessary knowledge to make the right decisions in the context in which we find ourselves.

Course objectives

To know what Big Data and Thick Data are and what are the nuances that differentiate them.
To understand the importance of storing and extracting information in a digitalized world.
To see the relevance and importance of a correct selection of data sources.
To understand how Thick Data is capable of adding value to qualitative information.
To know in which phases a Big Data project is divided.
To learn how to make strategic and operational decisions thanks to a massive information analysis.
Discover the Internet of Things (IoT) and its applications and its relationship with Big Data.

What does it prepare you for?

Thanks to this training in Thick Data and Big Data you will learn why it is key to use Big Data and Thick Data to analyze information that gives us the necessary keys for strategic and operational decision making.

Teaching units

DIDACTIC UNIT 1. THE BIG DATA REVOLUTION: BIG DATA AND THICK DATA

1. What is Big Data?
2. What about Thick Data? What is the nuance to differentiate both terms?
3. The Big Data boom
4. The importance of storing and extracting information
5. What is the role of data sources?
6. Innovative solutions thanks to data selection
7. Nature of Big Data sources

DIDACTIC UNIT 2. SMART DECISION MAKING

1. Thick Data, the value of qualitative. Understand human emotions, intentions and feelings
2. Phases in a Big Data project
3. Big Data focused on business
4. Support of Big Data in the decision-making process
5. Operational decision making

DIDACTIC UNIT 3. HOW TO GROW A BUSINESS THROUGH BIG DATA AND ITS APPLICATIONS

1. Strategic marketing and Big Data
2. Open data
3. Example of use of Open Data
4. IoT (Internet of Things)

Thick Data and Big Data

Course objectives

What does it prepare you for?

Teaching units

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