Focus, commitment and determination have always been at the genesis of BI4ALL and these have led to it being recognized in the top 10 Analytics Solutions Key Vendors as well as one of the Most Disruptive Innovations in 2018.

There are 3 logical data warehousing validations that should always be conducted so that the quality of data can be assured in terms of not having duplicates in the tables, not having nulls or/and empty strings and not violating the referential integrity in the data warehouse.

Given that today we all generate and deal with data on a constant basis, what impact would these companies have, as a result of this flood of information, without a set of tools that would turn this huge amount of data into insights?

Marketing insights provided through Analytics allow the decision-making process to be based on a systematic approach to exploit data that helps managers to increase the efficiency of Marketing decisions.

Taking into account the present and future function of the software, it must be endowed with the most diverse characteristics of flexibility, sustainability and functionality. But sometimes a peculiarity is simply left to chance - Scalability. This is the feature that will be addressed throughout the article.

The so-called technological buzzwords as Artificial Intelligence, Machine Learning and Internet of Things have attracted a lot of attention among Marketing professionals. Have you ever thought about how Artificial Intelligence and Marketing are nowadays walking side-by-side?

Technology does not only affect the products or services that the company sells and how it sells them, but also all the internal processes of the organization. The digitalization of processes is nowadays a theme that presents new challenges and opportunities to companies regardless the sector of activity.

Advanced Analytics represent the new era in Business Intelligence & Analytics in organizations. They are a fundamental complement to the traditional analysis, and allow a more preventive or predictive management of the organization.

With technology, is generated an uncountable number of data from the most varied sources. Turning this information into meaningful insights is crucial to the future of any organization, being small, medium or large.

On systems that change frequently, documentation can quickly become insufficient, paving the way for metadata analysis tools. It was in this context that we developed BIDocumenter, a tool that allows to easily verify all processes and parameters of SSIS packages.