Industry 4.0 and digital transformation aim to leverage disparate data to drive automated decisions from machinery to the Cloud and put more information in the hands of business decision makers when they need it. As these new are adopted and connected, data accessibility and contextualization have proven to be more time consuming and labor intensive than expected. To solve these data architecture challenges, a new category of software solutions is emerging that may be key to helping companies reach digital maturity: Industrial DataOps.

DataOps is the orchestration of people, processes, and technology to securely deliver trusted, ready-to-use data. This playbook explores the evolution of DataOps and why it is the missing link in your industrial data architecture. It will address:

• Exploring the challenges DataOps can overcome
• Using DataOps to form the foundation needed to launch and scale Industry 4.0 use cases
• Analyzing a case study demonstrating how a DataOps approach enabled significant improvement to an organization’s processes