The Science of Data Analytics. The Art of Envizing It.
ENVIZE’s unique user experience, combined with patent pending sample selection and training stabilization scoring make industry-leading process visibility and workflow flexibility possible.
ENVIZE’s patent pending stabilization algorithm powers intuitive stabilization gauges and charts. You see exactly how your training is progressing and when to stop. As the gauge fills up, additional training becomes less and less effective. Common scores, such as F1, and the processes that generally support them, are less automated and less transparent. They generally rely on control batches. ENVIZE doesn’t need control batches for measuring training stabilization. ENVIZE is able to frequently re-score the population (millions of documents in minutes), analyze scoring changes over time (entire population), and use resultant trends to precisely score training stability.
ENVIZE lets you start your training and review without stopping to spend undue time considering the progress of your collections or processing.
Among other benefits, ENVIZE’s scoring method adeptly solves for the “rolling” addition of data to your review population. Since you aren’t relying on a control batch for measuring stabilization, you don’t need to worry about updating or replacing your control batch to measure the effect that new documents have on your training.
ENVIZE minimizes the time and effort required for stable document classification, and provides review leaders with powerful workflow flexibility. Whether your preference is a more traditional “Train/Review/Produce” model, Continuous Active Learning™, or any number of possible variations, ENVIZE supports that preference.
Whether you need Predictive Analytics to help you budget your review before staffing it, to help you start your review quickly by prioritizing the most likely responsive documents first, or to strike a reasonable balance of the two, ENVIZE combined with iControl ESI’s skilled project management teams is the solution for you.