Evolved Analytics: Enhancing Value Creation through Data Analytics for Everyone
Theresa Kotanchek, CEOUnique Features Suitable for All Data Types and User Skill Levels
Unlike other available tools, DataModeler is capable of simultaneously optimizing multiple and often competing KPIs – offering multi-objective modeling to real world scenarios that include complex interactions between inputs. Evolved Analytics’ DataModeler App is an industrial- strength data analysis tool that features off-the-shelf capabilities for rapid analysis, interpretation, and exploitation of multivariate data sets.
“DataModeler provides augmented data analytics with an integrated workflow, enabling domain experts in an organization to extract insights without needing the help of data scientists or statisticians,” remarks Theresa Kotanchek, CEO, Evolved Analytics. For data scientists and domain experts alike, DataModeler simplifies the model development life cycle, including data exploration and model management with an emphasis on reducing complexity and improving modeling efficiency, accuracy, and robustness. Additionally, the platform automatically processes all kinds of data sets – structured as well as unstructured, insufficient data arrays and correlated variables. It can also build effective models for large and ill-conditioned data sets.
The intelligence platform leverages advanced and powerful algorithms to quickly identify the driving variables and combination of variables to create explicit predictive models that can be used for discovery, optimization and “what if” evaluations. DataModeler uses proprietary algorithms for symbolic regression via genetic programming, letting the data define the most suitable model ensembles that ultimately deliver best-in-class machine learning (ML) capabilities.
The ensemble of models can be examined easily to yield better insight and understanding, increase robustness, and reduce residuals. The models also have trust metrics that detect any data outside the “machine training” behavior or any change in the underlying system being modeled, allowing their use in dynamic data environments like manufacturing processes. The genetic programming enables clients to gain a much higher level of fidelity in matching predictions to data and consolidating their KPIs.
Versatility that’s Industry Proven for Trustworthy Understanding and Predictions
Clients across industries such as transportation, chemicals, energy, healthcare, and agriculture have benefited from the speed, confidence and trustworthy predictive models generated by using the DataModeler platform. From energy trading, private equity, and price forecasting to product design, process optimization, and cancer treatment efficacy, the DataModeler platform allows business or process experts to predict and visualize the consequences of input changes. Theresa shares one of the earliest applications of DataModeler was to improve the profitability of energy trading at a company that manages billions of dollars of hydrocarbon purchases. The analytics engine helped the client maximize profitability and manage cash flow.
With industry-proven experience of over 15 years and a proficient team, Evolved Analytics continues to deliver functionality that benefits users with varying levels of data science expertise. The company consistently delivers data mining and machine learning capabilities that surpass competitive augmented intelligence and machine learning alternatives, keeping ease of use, speed, automation and trust as the hallmarks of the platform.
Company
Evolved Analytics
Headquarters
Midland, MI
Management
Theresa Kotanchek, CEO
Description
Evolved Analytics helps in measuring and monitoring business and product performance through its solution, Data Modeler. The platform rapidly puts an organization’s existing data to work, automatically identifying the key driving variables and variable combinations for predicting and optimizing key performance indicators (KPIs). The intelligence platform leverages advanced and powerful algorithms to identify the driving variables quickly and a combination of variables to create explicit predictive models that can be used for discovery, optimization and “what if” evaluations. Subsequently, It puts the power of data analytics into the hands of business experts and problem solvers who know where the opportunities lie – regardless of industry or skill level
