A Consulting Firm and Customer Data Management Provider Team up to Power Personalized Experiences

Slalom, a modern consulting firm focused on strategy, technology, and business transformation, announced its partnership with Amperity, an AI-powered customer data management provider. The partnership offers Slalom’s clients a powerful platform to ingest, unify, and manage data to gain a 360-degree view of their customers.

The announcement coincides with a shift in consumer expectations. In a recent survey from Harvard Business Review, 90 percent of respondents said their customers expect them to know their interests and anticipate their needs. To deliver those personalized experiences, companies need to master their customer data.

Many companies are a long way from mastery, storing customer data in dozens of systems that often aren’t integrated with one another. It’s a missed opportunity to drive loyalty and revenue with personalization, targeting, and segmentation.

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That’s where Slalom and Amperity’s partnership comes in.

Slalom helps build solutions with best-of-breed technologies, tailored to meet its clients’ unique needs. Amperity uses the latest advances in cloud infrastructure and machine learning to process billions of customer records continually, resolving them into rich and current profiles. These profiles are then segmented and orchestrated downstream to any system, fueling better personalization, targeting, and seamless experiences.

“Slalom is the best solution integrator partner we could hope for,” said Kabir Shahani, CEO at Amperity. “They combine deep subject matter expertise with a value-focused approach to integration, and our shared customers couldn’t be happier.”

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“Our clients need ways to power a data-driven approach to personalized marketing. The next wave of revenue growth will come from harnessing massive stores of customer data to deliver great personalized experiences,” says Garret Carlson, Managing Director at Slalom. “Amperity’s end-to-end solution is one of the fastest ways to unlock that growth and manage the complexity and scale of the data.”

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