Transformational Analytics for Customer Experience

SparkBeyond Discovery

In the new world of Act-Now Customer Experience, early adopters are taking a quantum leap in CX management and design with holistic, predictive, and actionable insights, with clear links to business outcomes.

Build tailored solutions by seeing the bigger picture

Amplify insight from multiple internal and external data sources for granular microsegments across the entire customer portfolio.

Know what your customers want before they do

Anticipate unique customer needs, prevent problems, and proactively address opportunities with specific recommendations.

Link customer experience to value

Incorporate financial value into customer interactions with clear insight into how a customer's experience impacts future financial outcomes.

Break down silos for agile cross-functional teams

Explainable results in simple language ensure buy-in and excitement among stakeholders (operations, marketing, finance, and technology), a key to scaling impact.

Banking the unbanked

Tens of millions of people are excluded from 150 years of financial innovation. A more granular understanding of risk allows banks to serve those who have never been served before, to the benefit of all.

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?

S-001

S-002

Customer retention

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

Cross-sell and upsell

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

Risk scoring

Personalize credit decisions while minimizing risk and exposure.

Pricing

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

Operational efficiency

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

Campaign effectiveness

Identify the right potential customers, shape the right message and pinpoint the best delivery methods.

Demand Forecasting

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

Location Optimization

Pinpoint the best locations to yield the most optimal customer experience and business results.

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.

Read on

Reducing churn for a European media company

Reducing churn by 30% in 3 months: how a leading media company used AI-powered analytics to uncover which reader was likely to churn, and why.

Banking the unbanked

Tens of millions of people are excluded from 150 years of financial innovation. A more granular understanding of risk allows banks to serve those who have never been served before, to the benefit of all.

Scaling-up analytics: what major CPGs are doing right

Scaling-up analytics: what major CPGs are doing right

Global retailer empowers analysts with data science

Here's how a global retailer massively reduced time to value by equipping their analytics team with AI to find answers in complex, disconnected data sets.

Read on

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.