IIoT (Industrial Internet of Things) is the foundation of the fourth industrial revolution: we are talking about Industry 4.0 and digital transformation.
Strategies and Techniques of Data Integration in Advanced Analytics. ETL, ELT, Data Virtualization, and much more. Why is ensuring data quality and integrity essential?
To address the growing needs for data strategy, collection, analysis, and utilization, a new executive role has emerged: the Chief Data and Analytics Officer (CDAO). In this article, we will explore why this new C-Level role has emerged, what its main responsibilities are, and why it is becoming increasingly crucial for business success.
Knowing market trends and anticipating how demand or the development of an industrial sector will evolve is the greatest competitive advantage for companies. Today, this is easy with Advanced Analytics and Augmented Analytics.
Data-driven processes lead companies to informed decisions through the exploitation of the most significant data. Let’s see how the Agile model supports these processes.
The data driven culture allows you to be guided by data excluding any subjective dynamics. Here’s how to become a Data Driven Company (also for SMEs).
Let’s see how to use BI tools in data-driven marketing strategies: Machine Learning algorithms, Data Mining, and Advanced Analytics, combined with a CDP, to increase customer retention and improve campaign ROI.
At an important manufacturer of industrial equipment, Blue BI has created an innovative analysis system for predictive maintenance that combines issues related to the Internet
