Transformational Analytics for Operations

SparkBeyond Discovery

Build and scale intelligent operating models to drive sustainable growth with speed, certainty and security.

Unlock bottom-up decision-making.

No-code/low-code environment and built-in explainability empower teams to introduce rich, adaptive insights and ML models to business processes company-wide.

Identify root causes in operational fluctuations.

Finding the hidden drivers of operational ebbs and flows allows you to avoid problems instead of constantly reacting to them.

Prioritize with increased productivity.

In discovering novel and subtle patterns, including complex multi-dimensional combinations, AI accurately identifies the most impactful variables on your KPIs.

React in real-time.

Discovery’s production-ready models adapt automatically to changes in the environment, giving you continuous, accurate, and actionable insights and recommendations.

AI: the power sector’s untapped resource

There are many challenges facing the power sector – but changes in operating models, development of new capabilities, and innovative technologies all offer pathways to competitive advantage.

Scaling-up analytics: what major CPGs are doing right

How do successful analytic teams scale impact? Instead of being stuck with pilots and eking out small wins, learn how AI analytics at leading consumer goods companies are making an enterprise-wide difference.

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Applications for Discovery in Operations

Operational efficiency

Analyze operational management — supply chain, logistics, field — and determine new factors that affect performance.

Demand Forecasting

Analyze enormous volumes of various data to forecast demand, supply, quality issues, and market trends.

3 ways AI will revolutionize brick-and-mortar retail

The retail landscape has completely shifted since its installment in the early 20th century. Today, the industry offers customers a limitless variety of choices while it continues to change.

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Generative AI for data analytics: the future of enterprise sense-making

In the case of enterprise data analytics, generative AI will radically change the way we interrogate our data to explore, react to and shape our business realities.

Generative AI for data analytics: the future of enterprise sense-making

New data models for a new world

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?

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.