All organizations are faced with the constant challenge of meeting business goals. In the past, business leaders have relied on intuition and fragmented data to make decisions.

However, technology is ever evolving, and the amount of data consumers create in today’s connected world is a testament to that. Because of this reality, business leaders no longer need to guess their next steps – they need to do their homework and execute.

Thanks to a growing partnership between SAS and Snowflake that uses SAS® Viya® and Snowpark Container Services (launching in private preview), organizations can tap into the full potential of their data and use it to improve revenue, increase margins, operate more efficiently and exceed customer expectations. The use cases for this integration are plenty and can be applied in scenarios including loan origination, marketing personalization and business operations, among others. Let’s explore three ways this collaboration showcases how organizations across all industries can do just that.

1. Say goodbye to data silos and hello to collaboration

With this integration, you can access data in Snowflake via SAS® Viya®. However, it’s just not about data access – the accessibility helps anyone in the organization uncover insights, whether they are from a data scientist or a business user — it’s also about collaboration. And with more than half of AI models failing to make it into production, having the right platform ensures greater visibility and more sharing of information, helping organizations get more out of their data. Paired with SAS® Intelligent Decisioning, leaders can quickly move forward with their business strategies.

2. Ability to create governance rules for bias-free decision making

The process of understanding data is always difficult. That’s where SAS comes in. Most machine learning models never make it to production due to lack of formatting, collaboration between teams, and standardization hurdles. With Viya running directly in Snowflake, these problems can be solved as users can create governance rules for their Snowflake data along various checkpoints to account for bias. They can also train imported data against historical data, with the best predictive model becoming the champion model. The champion model is then published to Snowpark Container Services through SAS Container Runtime, which then executes the real-time requests against the model.

3. Your data stays secure within SAS and Snowflake

Traditionally, moving data between software solutions has been a hassle, raising security concerns and increasing the risk of human error. Snowpark Container Services runs Viya right from a user’s Snowflake account and streamlines workflows while minimizing data movement. The integration makes security worries a thing of the past, allowing organizations to instead focus on driving data-driven innovation.

SAS and Snowflake provides organizations with a technology integration that helps take their data further by increasing collaboration, forming guard rails around bias and improving security. Each are critical to enabling business agility while remaining competitive in a market with rapidly changing customer tastes.

Learn more about how we are working together:

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