Data Quality: The Atrium Difference
Today, we kick off an ongoing series of Expert Insights featuring Atrium data scientists’ perspectives on data quality. This and future blogs will dive into common patterns of data inadequacy and how Atrium addresses these to more fully realize your data-driven intelligent experience. Businesses today have more data than ever. With integrated, cloud-based systems, data […]
The Real Cost of Customer Attrition
Have you ever stopped to consider how much it costs when you lose a customer? Does your company place a value on customer retention? How does your company stay ahead of the curve and what actions are you taking to keep customers longer and make them more profitable? In future installments, we’ll explore in much […]
Increasing Customer Retention with Service Bots
When was the last time you were in a strategic business meeting with colleagues and heard someone utter, “The way we will retain our loyal customers is by letting the robots do all of the talking?” Seems way too close to the plot of the Jetsons cartoon series and far removed from any successful customer […]
The State Of AI-Fueled Sales Enablement
The Power of AI for Financial Services – Q&A
The financial services industry is always looking for better ways to engage clients and create a unique, personalized experience and meaningful financial health insights. In order to strengthen those relationships and increase customer loyalty, those organizations are turning to the power of AI. We sat down with Laura Koch, Atrium’s VP of Customer Engagement, to […]
Atrium Tableau Data Connector Architecture
Atrium Launches ‘Jumpstart’ Offering for Delivering Einstein Predictions to Tableau Customers
Atrium combines leading analytics technology platforms, Artificial Intelligence (AI) expertise and industry acumen to help Tableau customers benefit from Einstein predictions
Turning a Forecast Into Action
There’s a big difference between knowing and doing. As Leonardo Da Vinci put it, “Knowing is not enough, we must apply.” His words rang true in the 16th century, and they are just as applicable in the digital age. When applying this to a sales forecasting process we can either just use the forecast to […]