Element Analytics
Canvas Category Software : Operational Technology : IIoT
People in industrial organizations are in a race to make better use of their operations data. They want to make better decisions faster to unlock business value. However, the exponential growth of OT data combined with the challenges of wrangling all of that siloed and fragmented data is slowing them down, or making it seem impossible. Element Unify is the platform that puts operations data to work.
Assembly Line
Helping Evonik Scale Digital Transformation
Digital Foundation — through standardizing data availability and connectivity, the team can achieve digitalization projects much faster (more than twice as fast as before) and with lower investment because they avoid repeated data connectivity costs and allow the experts to focus on continuous improvement. Thanks to Unify’s governance capabilities, Evonik uncovered hidden data issues including faulty sensors and misclassified work orders.
Element and HighByte Announce Partnership, Launch Solution Based on AWS’s Industrial Data Fabric Architecture
Element and HighByte, leading data management providers to global industrial companies, announced the launch of an integrated solution based on AWS’s Industrial Data Fabric offerings. The solution, powered by Amazon Web Services (AWS), allows information technology (IT) and operational technology (OT) users to contextualize and normalize data into rich information for analytics and other business systems. The solution is designed to be maintained and scaled across the enterprise as the number of use cases that rely on industrial data grow exponentially.
Cargill and Element Analytics
Leveraging the Unify platform, Cargill has been able to build and configure trusted, high quality data twins to support KPIs and advanced analytics at scale. The first 40 plants modeled in Unify consisted of 1,049 data sets used in building 311 pipelines, to which 5,109 asset templates were mapped, resulting in over 45 million connected data records.
The Smart Manufacturing team knew that making KPIs based on normalized data visible to operators would lead to 3% to 5% gains in productivity helping each plant identify opportunities to build operating gains.
Leveraging Operations Data to Achieve 3%-5% Baseline Productivity Gains with Normalized KPIs
Traditional code-based data models are too cumbersome, cost prohibitive and resource intensive to support an enterprise data model. In a code-based environment, it can take six months just to write and test the code to bring a single plant’s operating data into alignment with enterprise data pipelines. By contrast, a no-code solution like the Element Unify platform allows all IT/OT/ET data sources to be quickly tagged and brought into an Asset Hierarchy. The timeframe for a single plant to bring their operating data into alignment with the enterprise data architecture and data pipelines drops from 6 months to 2 to 4 weeks.
Element Raises $18 Million to Enable Data-Driven Transformation of Industrial Enterprises
Element, an Industrial Data Hub provider, today announced it has closed an $18 million Series B financing co-led by new investors Activate Capital and Forte Ventures that also included participation from other new and existing investors. As part of the investment, Element is adding to its board of directors David Lincoln, managing director of Activate Capital, and Louis Rajczi, partner at Forte Ventures. The funding comes as Element gains customers in the chemical, power, agriculture and oil/gas markets, and as it expands enterprise-wide deployments.