A chat with industry experts in specialty chemicals and asset performance management on how to optimize your operational data to improve efficiency, increase safety, and reduce expenses for your enterprise.

When the global economy faces a downward trend, shockwaves pummel across many industrial sectors. Business leaders must be ready to make clear, strategic decisions that prepare operations for future uncertainties. Though this concept might seem counter-intuitive, the right may be to invest in future-proof infrastructure that is flexible, focused, and highly-leverages asset performance and operational data.

Once you get the right layered approach to analytics in place, you need to deploy those resources into the process operations.

To explain how this is done, Solution Architect, Gopal Gopalkrishan, and Technical Advisor for OSIsoft (now part of AVEVA), Curt Hertler return to go through the implementation and also discuss a hydrocarbon energy use case as an example on how projects like these are executed.

For data quality, the scope of your analytics has to be understood in the context for how the data is used. When it comes to predictive maintenance, the analytical requirements must be framed around the right layered approaches, such as descriptive-diagnostic-predictive-prescriptive.

In this episode, two solution and technical architects explore a layered approach to analytics for use cases in data quality, condition-based/predictive maintenance, process diagnostics, and more.

For many companies, the goal is to leverage operational data to deliver actionable insights across the enterprise. In the times of the Internet of Things, Artificial intelligence, and Big Data, technology can transform these insights into positive results for both management and end-users. But where do you begin the strategic transition from simple data visualization to predictive analytics that truly change the dynamics. Andre Brocklebank, Systems Optimization Manager at Visy Industries, describes the digital transformation process reached at Visy to achieve this goal for their mill and manufacturing systems.

What exactly is predictive analytics? We are going to chat with two industry experts in the power generation and asset performance management industries on that exact definition, and how you can use it to improve your operational data to improve efficiency, increase safety, and reduce expenses.