Sector-specific

Thick Data and Big Data

Big Data and Business Intelligence Development

7 am

Introduction

Detecting trends, analysing behavioural 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 big data is really enough.

The mistake made today in many Big Data strategies is to place greater emphasis on quantitative data than to qualitative data. Placing blind faith in numbers whilst avoiding so-called ‘dense’ and more complex data – known as ‘thick data’ – can prove to 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 ourselves.

Objectives

To understand what Big Data and Thick Data are, and what the subtle differences between them are.
To understand the importance of storing and extracting information in a digitised world.
To see the relevance and importance of a correct selection of data sources.
To understand how Thick Data can add value to qualitative information.
To find out in which phases a Big Data The project is divided.
To learn how to make strategic and operational decisions thanks to a massive analysis of data.
Discover the Internet of Things (IoT) and its applications, and its relationship with Big Data.

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

1. What is Big Data?
2. What about Thick Data? What is the subtle difference between the two terms?
3. The Big Data boom
4. The importance of storing and retrieving information
5. What is the role of data sources?
6. Innovative solutions through data selection
7. The nature of big data sources

TEACHING UNIT 2. SMART DECISION-MAKING

1. Thick Data: the value of qualitative data. Understanding human emotions, intentions and feelings
2. Phases in a big data project
3. Big Data with a business focus
4. The role of big data in the decision-making process
5. Operational decision-making

TEACHING 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 the use of Open Data
4. IoT (Internet of Things)

Thick Data and Big Data

Introduction

Objectives

Table of Contents

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