For a Data Scientist there are always opportunities and your business is always profitable.

Did you know that the World Economic Forum points to Data Scientists as the “career of the future” and the Harvard Business Review attributes to this position the title of “sexiest profession of the 21st century”?

 

 

“A data scientist is somebody who is inquisitive, who can stare at data and spot trends.

It’s almost like a Renaissance individual who really wants to learn and bring change to an organization”.
Anjul Bhambhri, Vice-President of Architecture, ADOBE

 

For Data Scientists the opportunities are in all industries: telecommunications, retail, tourism, health and financial markets are just a few examples. A number of studies1 state that, by 2020, the amount of information generated worldwide will increase 50-fold and companies increasingly feel a need to ensure day-to-day knowledge of new market trends and behavior of your customers.

Source:  Opinions Are Good. Data is Better. Timoelliott

Current management tools and technology tools allow the manipulation of information and the processing of distributed data in a number of sources: data that correlates with one another, cloud storage, visualization of information across diverse platforms, are advances in extremely important. However, the market needs professionals who have aggressive curiosity, specific skills and qualifications needed to take advantage of these same data efficiently and productively.

When analyzing statistical data organizations are questioned:

  • Is the customer base truly effective in understanding the needs of our key targets and strategic customers?
  • Why do certain customers start buying from our competitors?
  • Data from customer service feedback have been enough to generate more business?
  • How to interpret specific data about customers who have been loyal to the organization?
  • Interpreting data from customers’ social networks and relating them to business?

By way of example, in the tourist sector a Hotel Group can analyze all the feedback of its clients, however it will question:

  • Is the information available representative enough to understand all customers in all Group Units?
  • Is the history of customer behavior a good indicator of the future behavior of these and other potential customers?
  • Is the data obtained sufficient for the Group to make strategic decisions, for example in different locations?
  • Is it necessary to enrich the information with meteorological data or geographic data?
  • It is necessary to understand the trends that arise from the information conveyed by the Media in relation to certain geographies?

An e-commerce platform of a brand ensures access to an endless array of data that allows you to evaluate the behavior of your customers, however:

  • Are product and service classifications consistent and sufficient to drive more business to the platform?
  • Does the available information allow predicting individual preferences based on co-occurrences?

The available information allows the customer to convert the data obtained into added value, offering them other potential products and / or services that are truly relevant to the business?

Source: Infografia Perspektiv Blog

To answer these questions, a Data Scientist has no doubt that there is only one premise: to fully understand each customer’s profile. And for this understanding to be effective and effective, data – which can come from numerous and diverse sources of information – must be effectively interrelated. Through a wealth of data, Data Scientist finds patterns that allow consolidated information to be provided, and this information will be the basis for business decision-making, allowing the organization to gain competitive advantage.

Source: Infografia Perspektiv Blog

At the moment, the demand for the Data Scientist professional profile is already greater than the offer. In certain industries, the shortage of Data Scientists is becoming a serious obstacle to the development of organizations, as is the case in the Banking, Retail and Telecommunications sectors. At the same time, we are gradually beginning to feel the same concern in the Hotel and Tourism and Transport and Distribution industries. When an organization has data available, it is indispensable to ensure that it also has professionals who can process, analyze, understand, correlate and withdraw the reflections that cause real business impact.

In this sense, WINNING Scientific Management designed the first  Data Science Course in Portugal with the aim of training and qualifying “big data” professionals with the appropriate skills of a Data Scientist. 

Throughout the course are developed the essential skills that allow you to make “discoveries” that bring added value to the organizations business. The Course applies the methods of Scientific Management, through the practice of advanced techniques of Problem Solving, Business Research Methods, Hypothesis Testing, Causal Analysis, Predictive Models, Factor Analysis, Algorithms and Data Structure, Big Data, Machine Learning, Data Mining and Artificial Intelligence.

In the course of the training, specific techniques are applied that introduce high performance practices in the day to day of the managers, leveraging their professional careers to a level of excellence and talent and allowing to multiply the value that the Managers deliver to their organizations. After the success of the first edition, the second  Data Science will be held in Lisbon, between 18:30 and 22:30, between January and April 2017, in a total of 156 hours.

By: Vânia Guerreiro
Manager da WINNING Scientific Management