To consistently generate actionable insights, make real-time decisions, and significantly improve your manufacturing business operations, you need a well-thought-out industrial data management strategy that empowers you to gather, store, process, and interpret data meaningfully. More importantly, effective data management facilitates the abstraction of the automation layer, making it easier for you to scale your smart manufacturing solution across a broad range of plant environments, business units, and production lines.

Join Kudzai Manditereza, Developer Advocate at HiveMQ, in this enlightening webinar discussing key strategies and industrial data management approaches that scale, allowing you to harness the potential of your data in driving success of your smart manufacturing use cases.

Key Takeaways from this webinar:

  • Uncover best practices for collecting, processing, and utilizing data to optimize production, reduce downtime, and enhance quality control.
  • Learn how to implement a distributed industrial data management strategy, as opposed to the unscalable approach of storing all your data in one place.
  • Learn how to avoid the trap of a complex and tightly coupled data landscape for a more modern, powerful and flexible architecture with MQTT at its core.
  • Expert tips and recommendations for developing a comprehensive data management strategy tailored to your organization’s unique needs.

This webinar is designed for:

  • Industrial IoT Solution Architects, Digital Transformation Specialists and looking to leverage IIoT and data analytics for manufacturing operational excellence.
  • Manufacturing professionals and executives seeking to maximize the potential of their production processes.
  • Technology enthusiasts and solution providers looking to explore the latest trends and advancements in smart manufacturing.

Don’t miss this opportunity to gain actionable insights and unlock the transformative power of data for smart manufacturing.

Complementary Resource: A Comprehensive Guide To Industrial Data Management for Smart Manufacturing

Developing a well-thought-out data management approach is crucial for the success of your organization’s smart manufacturing strategy. Effective data management enables meaningful data gathering, storage, processing, and interpretation, while also facilitating the scalability of solutions across various plant environments, business units, and production lines. These capabilities are essential for generating actionable insights, making real-time decisions, and automating business operations in line with smart manufacturing objectives.

Without a solid data management strategy, challenges arise in digital projects, including a complex network of technologies, standalone solutions difficult to integrate, poorly planned digital infrastructure, and escalating costs. In a series of six articles, we have covered topics, such as data collection, modeling, contextualization, semantic structuring, integration, storage, analytics, data-driven decision-making, and the future of industrial data management. Do check out the guide here. 


Kudzai Manditereza
Kudzai Manditereza
Developer Advocate, HiveMQ
Kudzai Manditereza is a Developer Advocate at HiveMQ and the Founder of He is the host of an IIoT Podcast and is involved in Industry4.0 research and educational efforts.
Transform your business with the most trusted MQTT Platform.
Transform your business with the most trusted MQTT Platform.