Contextualized data leads to improved sustainability at Dow
Dow Chemical wanted to enhance its energy efficiency. However, with production data living in different systems, teams struggled to effectively analyze their production data.
The company implemented Braincube to structure and contextualize its steam, gas, and power data from disparate units and systems. Dow uses Braincube as an all-in-one analysis tool to efficiently analyze large datasets, identify underlying causes of unexpected events, and improve overall performance.
As Dow continues their sustainability journey, teams will continue utilizing Braincube to achieve its global energy efficiency goals.
In this case study, you’ll:
understand how Dow Chemical can better utilize data with Braincube
learn how Dow’s teams improved energy efficiency by leveraging Braincube’s CrossRank AI
see how self-service AI tools empowered Dow’s teams to optimize processes and deliver immediate improvements
Complete the form to get access to the case study now.
Using IIoT solutions, industries can gain access to the right data and identify actionable insights that improve sustainability, optimize energy consumption, and reduce emissions.
As digital transformation rises within the chemical industry, this white paper explores specific chemical processes that can benefit from IIoT. Learn about the tools that can assist you in achieving success.
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Introducing predictive analyticsDive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.
Introducing predictive analytics
Dive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.