Predictive Analytics

Knowing how to manage and process data, information, is an asset of the digital enterprise. That's why analytics tools are becoming increasingly important in the manufacturing sector. As highlighted by Gartner in one of its Magic Quadrant for Analytics and Business

In countless applications that track live systems, real-time analytics play a key role in identifying problems and uncovering new opportunities. They enable data and operations managers to respond fast enough to make a difference in the moment. The need to

Today the Cloud represents the fruition model that makes Information Technology increasingly ready to respond to rapid changes in the context. Organizations are increasingly “data-driven”, and Data Analytics, a set of quantitative and qualitative approaches to obtain “valuable insights” from data,

What if your production equipment was always available as planned? What if your cycle time was never compromised because of a damaged machine? What if your production equipment self-detected and alerted you of quality defects? Applying Real-time Maintenance (RtM) technologies to your production

With the arrival of Industry 4.0 and the Industrial Internet of Things (IIoT), a digital transformation is currently underway. The manufacturing industry is beginning to use industrial analytics driven by real-time production data, not only to make better, faster decisions,

A large manufacturer with assembly and sub-assemblies mass produces automotive parts and components. A plant of this magnitude requires equipment, such as motors, pumps, compressors, fans, vibratory feeders, and other machines. The manufacturer had incurred significant financial losses, experiencing bottlenecks

In these times, there is no doubt that the advancement of digitalization in industry makes possible connected products and processes that help people, materials, energy, plant and equipment to be more productive and efficient. The repercussions for business processes should

Industrial Digital Transformation is happening, but the reality is that most companies are handling data on paper. To think about analytics on the shop floor, one of the first things to be done is to automate not only the process, but the data collection and

When pen-and-paper methods of tracking job efficiency left AccuRounds’ engineers and managers in the dark, the shop switched machine monitoring system. However, this brought morale challenges along with it. The data-driven practice quickly demonstrated the benefits of real-time monitoring. It also