A Beginner Guide to Snowflake Row Access Policies

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

6 Misconceptions about Modern Data Architecture: How Snowflake and Salesforce Work Together

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

Snowflake Marketing Analytics: Drive Marketing Success with a Single View of the Customer

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,

How to Get Started in Data Science and AI with Snowflake’s Snowpark

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.

Enabling Responsible Data Use with a Snowflake Data Clean Room

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

How Financial Services Firms Can Inform Decision-Making with Ethical Data Handling

In today’s data-driven world, organizations have access to massive amounts of data that can provide valuable insights and drive informed decision-making. Embarking on a data or analytics project like implementing Salesforce Data Cloud can be an especially exciting endeavor for organizations. It holds the promise of unification, valuable insights, and informed decision-making that can be

Leveraging a Modern Data Stack: Analytics Tooling for BI Modernization

Almost twenty years ago, a colleague and I used to regularly refer to Excel as the “super tool” because it seemed like more often than not it was at the heart of business processes for companies we worked with. At the time, there were a lot of situations where Excel did as good a job

Salesforce Data Cloud Launches: Here’s What it Means

Salesforce has a reputation for putting the customer experience at the forefront of their innovation efforts — and Dreamforce is the ecosystem’s launchpad where Salesforce products take flight. In true pre-Dreamforce fashion, Salesforce and Snowflake announced the expansion of their partnership, now enabling customers with the ability to securely share data in real time between

Maximize the Value of Your Data with Tableau and Snowflake

As we evolve in a world where data is the most valuable and fastest growing resource a business can have, it can be difficult and overwhelming for organizations to prioritize and structure data in a way that can drive predictability and inform strategy for the business. Timing is crucial to decision making as industries experience

How to Keep Data Debt From Reducing the Value of a Data-Driven Organization

In 2017, the Economist published a report titled “The world’s most valuable resource is no longer oil, but data.”  This led many experts within industry to call for companies to become “data-driven organizations”. A data-driven organization is a company that not only focuses on collecting raw data, but also understands that to be truly data-driven,