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.
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
After having a front row seat to hundreds of Atrium projects over the last five years that typically focused on the intersection of data, analytics, and CRM strategy, I started to see a trend emerging among our most successful customers. Those that understood the relative maturity of their data as well as the tooling they
Many Snowflake environments need to limit data sets to particular user groups. These can be based on accounts, regions, departments, etc. In a Salesforce ecosystem, accounts typically will only be viewable by the sales team associated with the account. There may be hierarchies for who can see sets of accounts, as compared to the individual
Salesforce customers generally choose the leading CRM platform because it streamlines their sales, marketing, and customer service processes with data analytics and insights. But to further enhance the capabilities of Salesforce (and specifically their Salesforce data), many Salesforce customers are also starting to leverage Snowflake Data Cloud as they move toward a more modern data
You might already know something about Snowflake’s Data Cloud as a modern approach to handling data. Meaning that it offers scalability, simplified management, robust data security, and reliable data governance to IT professionals. It also has features like data sharing and zero-copy cloning, which saves money on storage. And as a leader, you have to