The SiriusDecisions B-to-B Buying Decision Process Framework

whitePaper | December 31, 2019

Part of the bioeconomy, Stora Enso is a leading global provider of renewable solutions in packaging, biomaterials, wooden construction, and paper. We employ some 26 000 people in more than 30 countries and our shares are listed on the Helsinki (STEAV, STERV) and Stockholm (STE A, STE R) stock exchanges. Our fiber-based materials are renewable, recyclable, and fossil-free. Our solutions offer low-carbon alternatives to products based on finite resources. We believe that everything that is made from fossil-based materials today can be made from a tree tomorrow.

whitePaper | August 22, 2022

The coronavirus pandemic that unfolded in 2020 and which is still yet to be fully under control, has had dramatic impacts in every aspect of our daily lives, from the way we work to the way we interact socially and to how organizations are structured. Some of its impacts are yet to be fully grasped, as several new studies provide further evidence of significant changes, ranging from its impact on our health to the way we learn and to how companies have been required to redefine their work model.

whitePaper | November 11, 2022

A fast-changing world forces companies to adapt faster. This creates special challenges for their digitalization initiatives. Composability and no-code technologies enables companies not only to keep up with changes. They allow them also to react rapidly and proactively and even use changes as an opportunity to achieve competitive advantages

whitePaper | July 17, 2020

We launched a new product back in late 2019 called GrabCAD Shop. The idea was simple. We wanted to build a solution to make the 3D printing work order management process better—less manual, more integrated, and more cost effective.Now, GrabCAD Shop is the only 3D printing work order management software on the market. It’s the only solution built specifically for 3D print shops. It’s proven to streamline 3D printing workflows, easy to set up with little to no IT involvement, and secure.

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

whitePaper | June 1, 2022

Robots. Artificial Intelligence. Complex algorithms that take decisions for you before you even knew they needed to be taken. Machines that ‘talk’ to each other and take action about the goods they are producing. Vehicles that drive themselves, and alert you to the fact that they are about to break down before they actually do so.