Transformational Analytics for Marketing

SparkBeyond Discovery

What was once a niche competitive edge for forward-thinking teams has now become a transformative catalyst for the entire industry. Here’s how AI in analytics changes the game:

Know what consumers want before they do.

Anticipate customer needs, elevate digital experiences and drive product engagement by leveraging granular, personalized insights.

Deliver the right message, the right way.

Design hyper-targeted campaigns that reflect prospects’ multi-platform consumption.

Identify who’s likely to churn, and why.

Determine thousands of drivers of churn to recommend highly accurate, CLV-driven retention actions.

Target your marketing spend.

Pinpoint marketing efforts with a centralized view of budget-spend, with ongoing omnichannel analysis across all channels and devices.

Accelerating data-driven digital transformation

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

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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Applications for SparkBeyond Discovery in Marketing

Cross-sell and upsell

Use granular customer insights to accurately predict the most effective product or service.

Customer retention

Accurately identify customers at the highest risk of lapse for effective, personalized retention campaigns.

Pricing

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

Automated Hypothesis Generation

When machine-learning systems produce ideas, not just test them.

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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.