TechnologyIntelligent AnaylticsAnalytical Suite
Intelligent Analytics provides a versatile and sophisticated approach to unlocking performance improvements trapped in complex sets of both historical and real time data. The suite of analytical techniques and algorithms automatically can sift through volumes of data and discovers those hidden “gems” that are often missed or undetectable by traditional statistical methods.
Leveraging Intelligent Analytics offers distinct advantages compared to other means, especially when dealing with in complex multi-process environments. The capability of this methodology goes well beyond traditional means of statistical analysis. Its foundation in algorithmic methods removes the bias that is necessarily imposed by an individual analyst. What’s more, the sheer volume of data only increases the validity and accuracy of the results, rather than adding to confusion for the analyst.
The ultimate goal of Intelligent Analytics is to allow one to be able to proactively sense and anticipate a situation before it becomes an issue - to evolve a true understanding of how the entire system behaves, and why. Domain experts can then make informed decisions, build effective strategies and drive continuous improvement initiatives to take control of the situation.
Features
- Finds high-order (multi-dimensional) patterns or occurrences of unexpectedly related variables. These patterns reveal new knowledge about plant operations, leading to revised operating and maintenance strategies;
- Because the results are descriptive in nature they can be easily interpreted by plant engineers. The rationale for such results can be fully investigated, allowing for root-cause analysis and mitigation strategies that can save valuable time and significantly reduce costs;
- The same descriptive analysis methods are used to drive powerful predictive models, resulting in a clear understanding of why those predictions are made and how they were derived;
- Data driven discovery eliminates the need for hypothesis and conjecture when performing analysis, eliminating bias and potentially incorrect assumptions. The results are embedded in user-friendly applications that leverage this new knowledge;
- The technology leverages existing data systems, allowing maximum decision making power from the existing infrastructure and data.
