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
Having access to reliable, up-to-date data is critical for all analytics and data science workloads. Data pipelines are an essential piece of this process, moving and transforming data in order to enable this access to reliable and clean data. Taking your data pipeline architecture to the next level with Snowpark There are many different methods
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
After you’ve left Moscone (or the Atrium Lounge!) in your sneakers and your Trailblazer hoodie, backpack and swag-filled tote bag in tow, it’s easy to succumb to information overload. The announcements, the live demos, the guided tutorials and masterful roadmapping, the meetings, the goal setting, the coffee, the coffee… It’s a lot to take in.
I still remember the exact moment I first realized my marketing data was trapped. A long time ago in a land far away, I was digging into the journey of a web conversion that excited me because it was a great lead and I was determined to replicate its success. Like many marketing automation tools,
Is your business fully harnessing the power that AI has to offer? Whether it be using predictive machine learning tools to acquire new customers or retain existing ones, or leveraging generative AI capabilities to increase the productivity of your workforce, use cases — and the potential for your data science strategy — are virtually endless.
In a time where data-driven decision-making is the ideal path forward for businesses, the need to find a balance between data collaboration and privacy has become a top priority for businesses. Enter data clean rooms! These controlled environments allow businesses to make use of and share their data while remaining compliant with privacy regulations. More
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
Data is the lifeblood of organizations. But understanding data and using it to drive meaningful insights can be a real challenge. Many data scientists spend a lot of time wrangling data instead of focusing on what matters — creating models that deliver real value for their business. In many ways, the promise of machine learning