One of the key profiles in the companies’ templates and one of those that has become crucial is the data scientist.
In the list of obsessions of those responsible for marketing, data management occupy a fairly prominent position.
In the era of Big Data it very important to be trained in the technical area and in the entrepreneurial aspect. It consists in knowing how to choose the appropriate profiles when one has the responsibility to do it and in how to direct them.
There are numerous professional profiles linked to new technologies such as fields linked to Big Data, the development of apps, augmented reality, cybersecurity or cloud-computing, which is the specific case that we are going to analyze in this post.
Converting a store into a smart retail simply means using technology and Big Data to measure and sell more in omnichannel. Do you want to know how?
Although the main objective of the companies is the optimal functioning of these, currently, Business Intelligence (BI), has been developed significantly in order to enhance this as a primary objective.
A database manager is an important part of the IT infrastructure of many organizations.
Data that the company owns is one of the most valuable assets available. Specifically, these data and the ability to generate useful business information for decision making is, in the end, the true value.
The Big Data has shaken the panorama of the databases. Big data implies having to work with distributed databases and with this scenario, obtaining a complete and reliable copy of several petabytes of data does not seem like something simple.
Multidimensional databases are generally used to create OLAP applications. They are made up of several tables of facts and dimensions. In this way, each dimension table contains a simple primary key that in turn composes the primary key of the fact table.
Cubes, dimensions and hierarchies are the essence of OLAP’s multidimensional navigation. By describing and representing information in this way, users can intuitively navigate a complex set of data.
OLAP is the acronym of Online Analytical Processing. It is a solution used in the field of the so-called business intelligence whose objective is to speed up the consultation of large amounts of data. It uses multidimensional structures (or OLAP cubes) that contain summarized data from large databases or Transactional Systems (OLTP).
The processes’ improvement of protection of personal data has re-filled the pages of business forums, blogs and professional social networks after the approval of the Data Protection Law by the EU in 2016.
The financial sector has experienced in recent years important growth and integration processes, a continuous and accelerated incorporation of new technologies to the business, and the universal deployment of the concept of multichannel.
The characteristics of the retail sector make it an ideal terrain in which the use of Big Data combined with predictive analysis techniques make an excellent match for the business.