Transformational Analytics for Manufacturing

SparkBeyond Discovery

Mitigate the root causes of asset failure

Analyze thousands of multi-layered patterns found in breakdowns and process-led production losses to identify high-risk components and recommend prescriptive action.

Respond quickly to changes in market demand

Provide consumer-focused manufacturing by identifying subtle and granular demand patterns at SKU and POS levels.

Create a comprehensive, real-time digital twin of global supply-chain operations

Rapidly analyze data from a variety of sources, including internal enterprise applications, sensor networks, operational systems, and exogenous third-party data to power actionable insights.

Optimize inventory levels of individual parts at scale

Compute part-level demand forecasts based on production orders and assemblies, traversing multi-level, time-varying BOM files.

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 SparkBeyond Discovery in Manufacturing

Demand Forecasting

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

Operational efficiency

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

Predictive maintenance

Accurately forecast equipment failures, and recommend action before faults and breakdowns cause costly delays.

Pricing

Anticipate changes in consumer preferences to tailor promotions, prices, and products for each customer.

Accelerating data-driven digital transformation

New world, new models….Data and AI have the opportunity to drive more impact than ever

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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.