The digital transformation boom has led millions of people to migrate important aspects of their lives to online platforms. From consumption habits to banking transactions and health information, everything is “in the cloud”, which has led to significant discussion of ethics in Data Governance. To what extent can you access and, going even further, collect and use people’s data?
After “leaks” of information from users of large companies, digital security laws returned to the discussion and precautions with information became more than just mandatory for companies, with punishments handed out to those who do not comply with the rules.
Digital Security Laws
For several years, governments have been studying the use of data and creating laws to regulate this practice.
Several laws and agreements signed by countries around the world were created and/or reinforced to control the use of data collected by companies. This movement first began in developed countries, with the General Data Protection Regulation (GDPR, of 2018) in Europe, the California Consumer Privacy Act of 2018, and in countries with emerging economies over the course of the following few years.
These measures ensure, for example, that any leaks that may occur are communicated to the users affected and authorities and that measures are implemented to reduce or eliminate such risks.
The following section presents some of the important norms contained in data protection laws:
- User consent: the company must make it clear that it intends to collect data and explain how this data may be handled and used, the period of time in which it will be available for use, and the manner in which it will be gathered in order for the client to be able to accept or refuse such activity.
- The possibility of deleting your information from the company’s database: all customers must have the option of no longer having their data used or even stored in databases.
- The possibility of migrating data to other companies: the user must be free to forward their data; therefore, companies cannot prevent this information from being shared by the user or, as stated in the item above, removed from databases.
It is a well-known fact that the use of data is essential for companies in better understanding the profile of their clients and increasingly improving their products and services.
Data Governance is the discipline that focuses on managing company data. In other words, it is the area that develops projects and determines the need for professionals and tools for efficient data management.
A professional with knowledge of Data Science is therefore necessary in order for companies to understand how to ethically and strategically collect, analyze, and use data and transform it into assertive ideas in the creation or improvement of its products or services.
Data Science consists of collecting, analyzing, and transforming data into strategies. A professional in the field will understand how to do everything from collecting personal data such as name, date of birth or the number of documents, access passwords or even identifying patterns of online behavior to suggest websites and content assertively, facial recognition to identify people, location, among other items. They are then able to transform this information into tools including, for example, a new means of identifying criminals, a more secure way to unlock smartphones, a more personalized way to distribute ads with more effective conversion on social networks, a means of promoting analysis of the price of a product according to the competition’s offer and user behavior, and forecasting election results, among other countless ways of using data.
The Data Science Professional
It is clear that professional who is able to handle data plays a key role in any company. Therefore, whether you are active in the area of Project Management, Technology, Communication and Marketing, Finance, an entrepreneur or even a professional working in the legal field, it is possible to set yourself apart by developing skills in Data Science.
Pearson College London, one of IBS Americas’ partner institutions in Europe, offers a short course entitled Applied Data Science for Business, which is aimed at professionals seeking to develop knowledge in Data Science applied to company decision-making and who have a basic understanding of statistics and Python Programming.
During the course, which is taught by professors with extensive academic and market experience, up to date, and offers challenging dynamics, you will be guided in the development of a database analysis project at all stages and prepared to conduct similar projects in your professional or workplace environment. Classes are divided into groups made up of multidisciplinary professionals from areas such as project management, programming, statistics and take place in a diverse environment with people from different parts of the world.
Learn more about the course and register for upcoming classes. Do not miss out on this opportunity to develop extremely sought after professional experience!