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How Business Intel Tools Can Protect Customer Data

Win the Customer

Because you can’t always turn to an expert in times of trouble and crisis, there are strategies you can turn to protect confidential customer information from getting in the wrong hands. Here’s a look at the best data security products on the market, and why using them promotes customer trust and loyalty.

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Brand Move Roundup – March 17, 2020

C Space

“Drawing from my own country’s experience, speedy and accurate testing and adequate personal protective equipment for medical professionals are most effective in preventing the spread of the virus,” he said in a statement. “We We hope that our donation can help Americans fight against the pandemic!”

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Put Reporting on Your Digital Transformation Roadmap: Harnessing Your Contact Center’s Powerhouse of Data Elevates Customer Experience

SharpenCX

It’s also about scrapping your gut-check reactions and making business decisions based on real truths about what your customers want. Data is the powerhouse that fuels your customer experience engine. According to CCW , the biggest challenge for contact centers today is the lack of a 360-degree view of all customers.

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Q&A: How To Transform Reviews Into Recurring Revenue

ChurnZero

Third-party software review sites aren’t only a Sales and Marketing tool to drive brand awareness and lead generation. Reviews hold a wealth of customer insights – and untapped recurring revenue opportunities. Protect your customer base using competitor intel that’s hidden in plain sight. Q&A Recap.

Finance 98
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The FDCPA and the (Un)forbidden Fruit of Omnichannel

NobelBiz

The new law will go into effect in October 2021, and debt collectors will be able to harvest the knowledge base, tools, and mindset of the wider Customer Experience discipline. Some say that the new regulations can lead to unethical practices in an already tensioned filled business model.

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Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1

AWS Machine Learning

As democratization of foundation models (FMs) becomes more prevalent and demand for AI-augmented services increases, software as a service (SaaS) providers are looking to use machine learning (ML) platforms that support multiple tenants—for data scientists internal to their organization and external customers.