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Getting started with an effective customer retention strategy isn’t as easy as one would hope. As we tackle the concepts that make for an effective customer retention strategy, we revisit our data-driven approach and Atrium’s method of determining your readiness to adopt intelligent solutions in aiding customer retention.

Atrium uses…

By now, you’ve probably engaged with a chatbot at some point when browsing a website or using a mobile app. According to Salesforce, the number of service organizations that expect to utilize a chatbot within the next 18 months grew 136% in 2019 . …

This is the first post in a short blog series focused on preventing customer churn using a centralized data hub. Stay tuned for the insights you need to succeed!

The Problem: Recent Churn… and a Lack of Insight

Here’s a problem our clients deal with all too often: miscommunication. As an example, let’s take a hypothetical company we’ll call…

Getting started with an effective customer retention strategy isn’t as easy as one would hope. As we tackle the concepts that make for an effective customer retention strategy, we revisit our data-driven approach and Atrium’s method of determining your readiness to adopt intelligent solutions in aiding customer retention.

Atrium uses…

Modern enterprise organizations are continuing to adapt data science solutions in multi-cloud environments, driving the importance of the ability to seamlessly integrate data across environments in a simple and secure way. In many of these organizations, sales representatives, support services, and marketing experts spend the majority of their time within…

This post originally appeared on the Atrium blog. Authored by AAKRITI JAIN

In the midst of one of the world’s most difficult times, a crew of fresh graduates from across the country began their Atrium journeys. …

This post originally appeared on the Atrium blog. Authored by TYLER POLLARD

Co-authored by Joshua Fleischer and Sarah Young.

As businesses increase their utilization of data and the insights they gather from it, universities are realizing the need to prepare students for today’s data-driven climate. Professors toe an interesting line…

This post originally appeared on the Atrium blog. Authored by SAKET CHATURVEDI.

According to Gartner, only 53% of machine learning models convert from prototype to production.

The statement above can also be articulated like this: 47% of machine learning projects fail to go into production. If an organization is set…

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As the market leader in intelligent solutions, we help organizations make smarter decisions and act on them. Learn more at atrium.ai

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