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Sector-specific

Thick Data and Big Data

Big Data and Business Intelligence Development 7 am

Introduction

Detect trends, analyse patterns behavioural, to get to know better For customers, these are some of the benefits offered by the Big Data, but one might well ask whether the information provided by management and the big data analysis.

The mistake made in many Big Data strategies today is to give greater weight to the quantitative data that to the qualitative. Placing blind faith in the figures whilst avoiding so-called «dense data» and more complex data, known as Thick Data It could turn out to be a mistake in the long run.

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

Objectives

- To find out what the Big Data and the Thick Data and what are the subtle differences between them.

- To understand the importance of store and retrieve information in a digitalised world.

- To recognise the relevance and importance of correctly selecting the data sources.

- To understand how Thick Data can add value to the qualitative information..

Table of Contents

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

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

TEACHING UNIT 2. MAKING SMART DECISIONS

  1. Thick Data: the value of the qualitative. Understanding human emotions, intentions and feelings
  2. Stages in a Big Data project
  3. Business-focused Big Data
  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)

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