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How IT Can Effectively Build and Scale Operational Data Pipelines

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How IT Can Effectively Build and Scale Operational Data Pipelines
Author: Jonathan Lang, Research Manager, Worldwide IT/OT Convergence Strategies
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​Abstract 
Manufacturers and industrial enterprises are on a mission to become data-driven organizations. While data has always played a key role in individual job functions, the current journey is about increasing the speed and confidence of decision making by bridging data across roles to generate a clearer understanding of the downstream and upstream impact of individual value stream activities. 
 
Operational data is at the core of manufacturers' transformation strategies. Integrating and contextualizing this data for broader use have proven challenging for those responsible for technical execution. The CIO's role is changing from enabling individual lines of business to connecting the overall technology architecture to support omnipresent access to contextualized data. To succeed, they must understand how operational data is unique and follow approaches that effectively bridge OT and the line of business.
 
Complete the form to download the analyst brief and learn:
  • The reasons why data from OT systems is difficult to connect to broader enterprise data efforts.
  • The reason why IT organizations must understand the right tool to deliver operational data pipelines must be purpose built for industrial operations data.
  • The benefits in achieving industrial data operations pipelines.
  • The pitfalls and challenges to be considered to ensure success. ​

HighByte is an industrial software development company in Portland, Maine building solutions that address the data architecture and integration challenges created by Industry 4.0. We’ve developed the first DataOps solution purpose-built to meet the unique requirements of industrial assets, products, processes & systems at the Edge.
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