Resource Categories: EBook

The retail and consumer processed goods (CPG) industry is facing unprecedented challenges due to the COVID-19 pandemic and the global economic downturn. One of the most powerful tools retailers and suppliers can use to retain and grow their customer base—and their revenue—is data. Data can help create improved customer experiences to attract consumers and reward loyalty, optimize supply chains to increase profits and decrease costs, and open up new revenue models. But retailers and suppliers often face roadblocks to leveraging their data, including poor data quality, latency in the data pipeline process, and cumbersome data sharing. Snowflake’s cloud data platform can help companies overcome these obstacles by delivering performance, flexibility, speed, and security. 

In this ebook you will learn how to unlock the value of retail data with Snowflake to achieve:

• Better customer experience
• Supply chain optimization
• Data monetization

En este informe se reflejan las principales conclusiones sobre el análisis de la evolución del uso de analíticas de datos en la empresa y el papel que juega cloud.

This report reflects the main findings of the analysis of the evolution of the use of data analytics in the enterprise and the role played by the cloud.

To differentiate from competitors, you may be considering enhancing your product with rich analytics that are branded and delivered directly from your app. But should you build your own solution, or buy an existing one? Some companies build custom embedded analytics applications by assembling and maintaining the necessary components, and others benefit from buying a commercially available managed service.

This ebook reviews and compares both options, so you can make an informed decision for your business. Inside you’ll find analysis and recommendations, including:

• The components required for a build approach
• The components available through a fully-managed platform, should you choose to buy
• Resources required to build
• Resources required to maintain
• Time to market
• Pros and cons for each option

MICROSOFT SQL SERVER TO SNOWFLAKE | MIGRATION REFERENCE MANUAL

There are many things to consider when launching a migration project, including rolling out an effective and well-designed plan. This comprehensive MS SQL to Snowflake migration guide provides a detailed checklist of steps to follow, with a special emphasis on architecture and data preparation.

For marketers, data is critical to initiatives such as personalization campaigns that increase customer lifetime value, multitouch attribution models that reveal how much each customer touchpoint contributes to a purchase or conversion, and machine-learning algorithms that enhance customer experiences. But if marketing organizations fail to unify their customer data as a starting point, they would fail to achieve these goals at scale.

This ebook describes five best practices to help unify marketing data and make it actionable for high-priority marketing programs. You will learn how to:

• Implement a holistic data strategy instead of addressing one issue at a time

• Identify which data sources are essential and set up optimal methods for integration

• Store the data in a platform that can support all analytics and customer engagement needs

• Ensure that marketing data is accessible to nontechnical users across the company instead of limiting access to data scientists and analysts

• Determine which data-driven initiatives are most important and ensure the organization is aligned on them

Learn how you can speed, innovation and time to market with data-driven approaches enabled by Snowflake’s Data Cloud and Tableau’s Analytics Platform and address the 5 biggest data challenges:

• Data quality
• Data performance
• Data exchange and collaboration
• Data management and scaling
• Regulatory compliance

Data-intensive applications require a modern data architecture to meet customer expectations. That’s why fast-growing software companies are turning to cloud data platforms. Although some application builders originally launched applications on legacy data stacks, many have now migrated to the cloud to overcome growing pains. Others are building apps on Snowflake’s platform from the start because they are aware that Snowflake helps address the biggest challenges in building highly performant data applications.

This guide describes five of the most common use cases for building data applications, and how Snowflake addresses the key challenges that builders of such applications face:

• Customer 360

• IoT

• Application health and security analytics

• Machine learning (ML) and data science

• Embedded analytics

Learn how public sector organizations can share data securely and improve data-driven decision making with the Snowflake Government & Education Data Cloud. Snowflake’s fully-managed platform helps agencies:

• Securely share data between agencies and externally 
• Gain 360-views of students, citizens and recipients
• Monitor for fraud, waste and abuse
• Maintain strong security, compliance and governance 

Get the ebook now.