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Be Warned: You Can’t Rely On Big Data!

Beyond Philosophy

I’ve been reading about Big Data’s foray into “Journey Analytics.” Journey analytics seeks to improve customer experience by collecting data at each point on a customer’s journey and mapping customers’ paths – whether they lead to a purchase or not. But I have a big problem with Big Data.

Big data 284
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The Top 50 Marketing Analytics & Data Analysis Certifications & Courses

Callminer

Big Data represents a major opportunity for companies to turn all this readily available data into business intelligence and transform decision making.

Analytics 207
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Webinar Preview: What Contact Centers Really Need - Big Analytics, not Big Data

Jon Arnold

What began as an exploration of contact center reporting, soon became a bigger exercise in the ever-expanding world of Big Data, and that has inevitably taken me into the adjacent galaxy of BI – business intelligence. The cloud has changed everything, and that brings us to Big Data. The mind boggles.

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5 Top Customer Service Articles For the Week of December 12, 2016

ShepHyken

Is Your Digital Marketing Strategy Ready for an AI Intervention? Boomtrain) Artificial Intelligence, machine learning, and big data analytics have been around for a while in the B2B world. Retail Customer Experience) Retail executives have begun to question the role of social media marketing. by Tara Thomas.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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Guest Post: 5 Unexpected Uses for Customer Data

ShepHyken

Customer data analytics is possible due to the rise of IoT, Big Data, and, of course, AI. For instance, Statista estimates that the global AI software market will grow approximately 154% year-over-year in 2020. Therefore, it’s time to unleash the real power of customer data. Now they can do more.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. The following diagram gives a high-level illustration of the use case.