AI Analytics Platform
SparkBeyond Discovery autonomously analyzes complex data, finding answers to business problems where you wouldn't think to look.
Seamlessly integrate external data into your search space for a better grip on the real influencers of outcomes, and get a holistic perspective of your business reality.
Move analytics projects beyond the experimental by interacting with data and insights in natural language, allowing a deeper alliance between analytics and business stakeholders.
Future-proof the hard-won benefits of the analytics process by keeping an evergreen cycle of inputs and outputs. The world shifts, and so should your insights.
From time-series to geo-spatial data, auto-connect most data in their raw, granular form, without writing a single line of code.
See the bigger picture by integrating our curated database of world knowledge (maps, Wikipedia, demographics) or network of 3rd-party data providers.
Automatically and exhaustively search millions of insights, drilling down to explore the metrics of any particular feature.
Generate superior composite features in explainable, natural language, and zero-in on each feature for closer evaluation.
Use built-in Auto-ML to enhance predictive models at their core, improving model accuracy and accelerating time-to-value.
Pinpoint the best locations to yield the most optimal customer experience and business results.
Analyze anomalies and subtle signals in large amounts of data to identify criminal activity.
Use granular customer insights to accurately predict the most effective product or service.
Anticipate changes in consumer preferences to tailor promotions, prices, and products for each customer.
Identify the right potential customers, shape the right message and pinpoint the best delivery methods.
Accurately identify customers at the highest risk of lapse for effective, personalized retention campaigns.
Analyze operational management — supply chain, logistics, field — and determine new factors that affect performance.
Accurately forecast equipment failures, and recommend action before faults and breakdowns cause costly delays.
SparkBeyond's product suite is designed to seamlessly connect to and work in harmony with major cloud infrastructure and service providers without compromising stringent data governance, compliance, and security requirements.
Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?