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How All Vision Works

01

Connect any data stream with just a click or API call

02

Run a suite of unsupervised learning algorithms to find the best model to classify patterns in your data

03

Optimize hyperparameters without coding

04

Review clustering charts to observe similarities, assess causality, and recognize anomalies

05

Access support from dedicated data scientists to expand what you can get out of your data, such as tracking emerging behaviors and building optimal business rules

Predictive Decision-Making
& Rules Optimization

All Vision empowers leaders to create data-driven business rules for fraud prevention, targeted marketing, credit decisioning, and beyond. 

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All Vision makes better decision-making possible by establishing benchmarks within data related to policy performance. Leaders can use our UI to partner with dedicated data scientists to find the exact thresholds for each context in which a business rule returns maximal value, and get alerted when a business rule is broken.

Why All Vision

All Vision harnesses the power of predictive learning to find signals in data, at the speed of ever-changing operating environments

All Vision provides a low to no-code platform for analysts and data scientists to run a suite of clustering algorithms re-engineered for optimal performance on any data stream

​With All Vision, users can view similarities within data sets, assess potential causality between features, and review how business rules affect different groups and behavioral patterns within a population

Predictive Decision-Making & Rules Optimization

All Vision empowers leaders to create data-driven business rules for fraud prevention, targeted marketing, credit decisioning, and beyond. 

​

All Vision makes better decision-making possible by establishing benchmarks within data related to policy performance. Leaders can use our UI to partner with dedicated data scientists to find the exact thresholds for each context in which a business rule returns maximal value, and get alerted when a business rule is broken.

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