• machine learning
• reporting
• data warehouse
• telecommunications
• real-time
• business intelligence

In the business world, knowledge is not just power. It is the vital spark for a company
to thrive. Data is the source of information, which in turn is the source of knowledge.
The avalanche of data that many businesses are receiving from all sides is overwhelming.
They are unsure of their ability to handle Big Data given its growing volume, density,
and speed. There is a huge difference between raw data, that is not valuable on its own,
and actionable information, which businesspeople can rely on to take decisions. In this
business context where the flow of data is relentless and it is constantly increasing, the
role of business intelligence and analytics is crucial. The benefits of implementing an innovative business intelligence strategy are uncountable, and the competitive advantages
that go along with analytics can help the company outperform its rivals. The purpose
of this thesis fits perfectly with the described context. The dissertation outlines the
implementation of an innovative business intelligence solution to enable the real-time
reporting and give to the business users an interactive dashboard with a machine learning
component (predictive analytics) and real-time up to date KPIs, that are integrated
with historical data.