This post originally appeared on the Atrium blog. Authored by ADAM ROARK

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 a readiness assessment that can be leveraged by sales and strategy teams within your organization to assess the maturity of your company’s retention strategy. …


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. Working from an office was not possible, due to the global pandemic, and simply stepping out of your own house seemed life-threatening.

For most, this was brand new territory. Even for those who had already been working remotely, it was still a challenging adjustment. But for us fresh graduates making the shift from college life to a professional environment, things were considerably more challenging…


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. In a semester’s time, they need to provide a basic academic background for data modeling and analytics while also giving the context for solving business problems. In March of 2021 at Butler University, three of Atrium’s consultants spoke with Professor Jason Davidson’s Data Analysis and Business Modeling class about business…


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 out to implement a machine learning solution in the first place, there can be a big chance that the implementation will fail.

Reasons for Failure

There are several factors that can lead to the success or failure of a project. …


This post originally appeared on the Atrium blog. Authored by ADAM ROARK.

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 a readiness assessment that can be leveraged by sales and strategy teams within your organization to assess the maturity of your company’s retention strategy. …


This post originally appeared on the Atrium blog. Authored by JOHN GORUP.

“There are these two young fish swimming along and they happen to meet an older fish,” David Foster Wallace said in his now-famous commencement speech to the Kenyon College graduating class of 2005. The fable continues: “The older fish nods at them and says ‘Morning, boys. How’s the water?’ And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes ‘What the hell is water?’”

As with any good fable, there is a lot to unpack…


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

Have you ever thought about a dashboard that is viewable in multiple languages depending on user location or language preferences, but wondered if it’s even possible? Well, the answer is yes, and it can be done in a few easy steps. Let’s first identify the use case where having a dashboard in multiple languages becomes the necessity.

Use Case for Multilingual Dashboards

Suppose the Salesforce Org that you are working on is used across various geographical locations. …


This post originally appeared on the Atrium blog. Authored by MATT MCGORREY.

Salesforce supports several powerful tools for visualizing data in Tableau CRM (formerly Einstein Analytics) and Tableau Desktop. While both tools can be used to surface insights from CRM data, they can do far more. With March Madness wrapping up, I took some time to explore NCAA basketball data using Tableau, and to show how it can be used to identify trends and measure new metrics of team performance. This blog post outlines my analysis and details some interesting insights surrounding Final Four teams. …


This post originally appeared on the Atrium blog.

The mindset around analytics transformation has evolved over the last few years, with businesses of every size and shape grappling with whether to move from legacy investments to a modern data architecture — along with the benefits and how best to do it.

Our CEO Chris Heineken spoke with Peter MacDonald (Head of Strategic Partnerships, Snowflake) about the importance of predictive capabilities, industries that would most benefit from analytics and machine learning right now, rewarding aspects of Snowflake’s partnerships with companies such as Salesforce and AWS, and next steps for companies wanting to become more data-driven.

Learn more about unlocking the potential of Snowflake’s Data Cloud with actionable analytics and AI that drives your business forward.


This post originally appeared on the Atrium blog. Authored by Miles Dapsauski.

Data science is certainly at the top of many business leaders’ minds at the moment. It seems that almost daily, headlines announce things like the increase in the number of firms that are investing in AI and analytics, or about the trillions of dollars in “business value” that experts say will be created in the next decade by these technologies. On the other hand, other experts tell us that a shocking number of data science projects (50–85%, depending on who you ask) never make it to production. These…

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