Three practical use cases for Industrial DataOps
Most manufacturing companies realize the benefits of leveraging industrial data to improve production and save costs but scaling up their pilots and small-scale tests to the plant-wide, multi-plant, or enterprise level remains challenging. Reasons for this include the time and
From kickoff to scale: 10 steps to an enterprise data architecture
Why are so many manufacturers drowning in data and struggling to make it useful? Simply put, a modern industrial facility can easily produce more than a terabyte of data each day, and access to data alone does not make it
The power of payloads in your unified namespace
The Unified Namespace (UNS) is among the fastest-growing data architecture patterns for Industry 4.0, promising easy publish-subscribe access to hierarchically structured industrial data. The UNS is often defined as a consolidated, abstracted structure by which all business applications can consume
The state of DataOps in manufacturing in 11 stats
Today, global leaders see manufacturing as the engine powering a wide range of initiatives—from infrastructure development to energy efficiency. Their focus on industrial growth and sustainability shouldn’t be surprising considering manufacturing accounts for roughly 17% of the global GDP and 23% of direct
Do you have a data noise problem?
Have you ever watched a press conference when a room full of reporters bark questions at the same time? Typically, the media event host will call on a particular reporter to repeat the question and then move on to the
Leveraging Industrial Data Ops for Sustainable Manufacturing
As the world focuses on sustainability and reducing carbon footprints, industries are seeking innovative solutions to make their manufacturing processes more environmentally friendly. In a conversation with Torey Penrod-Cambra from HighByte, we discussed how Industrial Data Ops supports sustainable manufacturing
Bringing sustainability to your industrial data architecture
You don’t have to agree with environmental policies to know that sustainability is a part of business and life today. Supply chain partners, regulators, customers, and investors are demanding more environmental accountability from manufacturers—and with good cause. According to the
DataOps: The Missing Link in Your Industrial Data Architecture
DataOps is a new category of software solutions that address the data architecture needs of industrial companies as they adopt Industry 4.0, Digital Transformation, and Smart Manufacturing. DataOps solutions perform data contextualization and standardization and provide secure data flow to
DataOps for Manufacturing: A 4-Stage Maturity Model
The promise of Industry 4.0 has many manufacturing leaders thinking big. They envision a future in which real-time access to data opens the door to unprecedented levels of operational flexibility, predictability, and business improvement. For many, early-stage wins often lead