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Generative AI: Using artificial intelligence to make human impact.Learn how

  • Publicis Sapient
    Snowflake

Publicis Sapient and Snowflake work collaboratively to solve complex data problems. Together, we help organizations unite siloed data, while enabling data storage, processing and analytic solutions that are faster, easier to use and far more flexible than traditional offerings.  Through this partnership, we can enable elasticity and scalability of the cloud without worrying about cost, performance or system complexity.
 

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Building the next generation of banking

Publicis Sapient and Snowflake share a commitment to help businesses collect, normalize, distribute and monetize their data. We combine Publicis Sapient’s digital strategy, data-driven innovation and cloud modernization expertise with Snowflake’s industry-leading Data Cloud solutions to create value, encourage data collaboration and promote scalability across industries like retail and commercial banking, insurance, wealth and asset management, as well as travel, hospitality and the public sector.

Publicis Sapient partners with Snowflake to execute impactful business results through:


  • Better customer experience
     


    Improve top and bottom line
     


    Provide more value out existing data
     


  • Increased operational efficiencies
     


    Enterprise-wide data visibility
     


    Enhanced customer retention
     

The Imperative for Change:

The Imperative for Change: Data pipelines are not a one-size-fits-all approach. A large financial services organization was looking to re-establish a source for their operational data, including security, position, transactions, etc. They had a number of downstream systems reliant on that data for daily operations, and needed to develop a solution to satisfy organizational data requirements while maintaining high levels of performance, quality and scalability.

The Transformative Solution:

We initiated a discovery phase where we shaped our understanding of the client business problem, the future state requirements and designed a flexible architecture to meet their business needs. This phase was used to establish a technical ‘north star’ for the next development phase, which was executed in an agile and iterative manner, allowing for the accommodation of changing priorities and new findings.

The Business Impact:

This operational data store platform helped the company avoid significant costs from licensing and data access extensions. By using Snowflake, it allowed them to cater to their current data needs, while preparing them for any unknown future data analysis needs.

The designed and developed solution (using Snowflake 6.37.2) allowed the client to:

• Store data in a standard format
• Implement additional future data sources
• Generate over 20 feed files for downstream consumption
• Integrate with legacy applications

A man viewing financial data on a laptop while talking on the phone