Today’s economic incentive systems demand transparency and real-time accessibility. Employees need to be able to monitor their goals and earnings, pushing companies to implement applications to define and track personalized incentive models.

IIoT (Industrial Internet of Things) is the foundation of the fourth industrial revolution: we are talking about Industry 4.0 and digital transformation.

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.