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Deploy analytic outputs that companies thrive on

Business Insights

Automatically surface a comprehensive list of the relevant factors driving any business outcome or analysis question for which you have data, including previously undetected root cause drivers and predictors.

Predictive Models

Automated feature engineering and model tuning allows you to quickly train high quality models and score your datasets for day-to-day decision-making, targeting, ranking, and grouping.Use models to score new datasets on the platform or deploy models to containers for production.

Micro-Segments

Automatically pinpoint specific novel groupings of data points that spike especially high or low against an outcome or value. The platform automatically scans for combinations of factors (testing multiple dimensions at a time) to find micro-segments that would otherwise go undetected.

Features For External Models

Extract all relevant predictive signals out of complex datasets including time series and text, and surface an exhaustive long-tail of nuanced, granular features that provide an extra performance boost to existing predictive models.

Business Automation Rules

Identify new business logic and criteria to enhance existing automation process performance, using SparkBeyond to mine past data for patterns of error or exceptions.

Root-Cause Analysis

Evaluate millions of hypotheses on real time data, surfacing significant drivers of fluctuations in reliability metrics and offering insights that inform reaction and prevention.

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Analytics: from mystery to mastery

April 29, 2021
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4:00PM GMT

This exclusive event is the third installment of our successful ‘Game Changers’ series, where inside intel from expert panels helps bridge the gap between analytics aspiration and ability.

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Analytics: from mystery to mastery
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