Ahead of the Curve: Data Analytics Maturity Model Guidance
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 […]
5 Benefits of Building Data Pipelines with Snowpark
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 […]
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 […]
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 […]
Mark Fleming on Reaching Data Nirvana Through Centralization and Improved Access
With more and more companies making the transition to the data economy, themes of quality, governance, and technological ROI take center stage. Mark Fleming (SVP of Sales, Americas Enterprise at Snowflake) discusses the nirvana achievement of centralized data to create meaningful outcomes, the power of communication and storytelling across internal teams to bolster collaboration and […]
Leveraging Snowflake to Support an Effective Salesforce Data Strategy Starts With Addressing Data Quality
With the ease and availability of analytics implementations with widespread and user-friendly tools, every organization is looking forward to leveraging data analytics and machine learning. Data collection has become easier than ever before, and while many focus on capturing and housing as much data as possible so they can leverage it for personalization, analytics, and […]
Whitepaper: Data Agility Unlocked: The Data Strategy You Need to Succeed
WHITEPAPER Data Agility Unlocked: The Data Strategy You Need to Succeed Businesses have started to streamline data operations and replace legacy on-premise data lakes and warehouses with systems like Snowflake, a Data Cloud that doesn’t require years of planning to scale. But in order to take advantage of this progress, the concept of data agility […]
Learn From the Experts: The Consequences of Missing Data
Welcome to another post in our ongoing Expert Insights series on data quality. This series serves to illuminate common data shortcomings and their consequences. For a general overview of data quality, be sure to check out the initial post in the series. This post concludes our last post on how data go missing. For our […]
Learn From the Experts: How Data Go Missing, Explained
Welcome to another post in our ongoing Expert Insights series on data quality. This series serves to illuminate common data shortcomings and their consequences. For a general overview of data quality, be sure to check out the initial post in the series. Cloud-based CRM promises to automatically fill databases with immense volumes of data just […]
The Right Data Drives an Intelligent System: Here’s How to Get It
Businesses that depend on AI often begin with data quality problems. How do you break from common patterns of data inadequacy to realize an intelligent experience?