How Advanced Analytics is Driving Increased Operational Efficiency, Product Consistency, and Quality

Deploying advanced data analytics allowed process experts at Chr. Hansen to reduce operational improvement timelines with the development of a golden batch profile and optimized Clean-in-Place (CIP) processes. Recently, the team at Chr. Hansen hosted a webinar in collaboration with Swan-Black to share their experience working with Seeq’s advanced analytics application and the value-add services provided by Swan-Black.

In the webinar, the experts at Chr. Hansen discussed and demonstrated how they use advanced analytics to:

  • Contextualize process and quality data more efficiently
  • Enable visibility to all stages of production and clean-in-place (CIP) phases
  • Optimize batch consistency and quality through the creation of a golden batch profile
  • Detect process anomalies as they occur for proactive correction
  • Reduce costs by improving operational efficiency

We received many great questions during the Q&A segment but were unable to answer all of them live. To provide some added clarity around Seeq, Swan-Black, and Chr. Hansen’s overall journey to deploying advanced analytics, we continued the conversation with the team.

The Top Questions Surrounding Seeq’s Advanced Analytics with Swan-Black

What is the relationship between Seeq and Swan-Black?

Swan-Black is a value-added reseller of Seeq’s advanced analytics solutions. We provide expert consulting and training; customizing solutions and empowering users to make informed decisions for efficiency gains, predictive analytics functions, and improved profitability. 

Can the golden profile account for multiple signals at once?

Creating a golden profile analysis is open to the user’s creativity. The golden profile is created using a variety of tools in Seeq, such as Reference Profile and Boundaries, and there is no limit to the number of signals that can be included in the analysis. The screenshot below shows a reference profile for three signals (relative humidity, power, and temperature) appearing as a shadow behind the signal using the Boundaries tool.

You will notice that the relative humidity signal has a shorter period. In this scenario, the engineer is only concerned about the relative humidity for the last three hours of the batch. Therefore, we’re only creating a reference profile for the last three hours of the batch. 

If we were looking at this batch in real-time, we could notify the operator that the power towards the end of the batch is outside of the golden profile and they could adjust accordingly.

Seeq Interface

Have you considered any additional use cases beyond golden batch and CIP?

With Seeq, there are many opportunities for different use cases – this similarly remains open to the user’s creativity. Our use cases range by industry and can include energy consumption monitoring, KPI and dashboard creation, asset predictive maintenance, root cause analysis, and much more. The combination of Seeq and Swan-Black’s analytics staff enables a company’s team to find insights in their data and ultimately see a significant ROI. The right resources enable engineers and others at an organization to put data behind their intuitions and make operational decisions that can increase efficiency and productivity quicker.

Does Seeq have a SaaS offering?

Seeq is offered on-premise, in the cloud, or can be accessed as a SaaS application. Seeq is built for scale with security, manageability, and scalability to adapt to your organization’s growth and usage. Seeq is also extensible with third-party products and offers customization through a REST API and multiple SDKs (Java, C#, etc.).

Dive into the Full Conversation on Advanced Analytics

Please contact us if you have further questions or would like to continue the conversation! Additionally, if you were unable to join us for the live webinar, you can watch the recording on-demand here to learn more about Chr. Hansen’s application of advanced analytics in their facility.