Most enterprises treat their Enterprise Resource Planning (ERP) data like a vault — a secure system of record where critical business data lives… and rarely escapes. But what if ERP data wasn’t just for record-keeping? What if it powered real-time decisions in service, sales, operations, and beyond? That’s the shift happening right now with Snowflake.
“Where is my order?” It’s the question that plagues every customer service team, and one that eats up more time, resources, and revenue than most companies realize. The good news? You can now solve the Where is my order? (WISMO) problem with a data-driven, AI-powered agent console built on Snowflake’s Data Cloud. At Atrium, we’ve
Financial services organizations are naturally data-rich. Whether you’re a bank, credit union, wealth management firm, or asset management company, you have access to a wealth of information. But too often, that data is scattered across different systems and departments, like pieces of a jigsaw puzzle. You know the big picture is important, but putting all
Snowflake recently launched their AI + Data Predictions 2025 report, in which top executives at the company shared what they think we can expect to see in enterprise AI this year. As organizations begin to bring their AI proofs-of-concept into production, Snowflake CEO Sridhar Ramaswamy believes it’s time to move past the hype and start
Any and every interaction within your organization and with your customers, prospects, vendors, and partners is a data point. This massive amount of data can either be immensely valuable to your business — or completely overwhelming. Whether or not your data is a burden or a boon depends on your ability to analyze and visualize
In today’s world, the volume of data available to businesses is staggering. According to a survey from Gartner, 47% of employees struggle to find the information or data needed to effectively perform their jobs. In other words, the majority of businesses struggle with the ability to extract meaningful insights that contribute to making informed decisions.
Many companies want to take advantage of AI, machine learning (ML), and analytics to make smarter, more proactive business decisions. Predictive analytics is especially important in situations where organizations seek to get ahead of problems like customer churn. Imagine if an organization like a bank or a software company could know beforehand that a customer
Delivering effective data and analytics through outdated on-premises infrastructures and software is a nearly impossible task. In contrast, Snowflake and other cloud solutions continuously deliver innovations that are immediately available to their customers. Even the best on-premises technical teams are left months or years behind their competitors. In this unprecedented time of continuous technology revolution,
The business world is experiencing a seismic shift as generative AI redefines the way we work. This powerful technology, capable of producing human-quality text, code, images, and more, is transforming industries across the board. At the forefront of this revolution stands Snowflake, a leader in data warehousing. Snowflake is now unveiling groundbreaking functionality geared toward
With the explosion in data and analytics demand, organizations are reaching the limits of their existing data platforms. Even cloud-based platforms like Azure SQL, while an improvement over on-premises technologies, are unable to provide the scalability, performance, and elasticity needed to enable a modern analytics capability. To meet this challenge, data leaders are migrating to