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.
Love Bytes: Put Data at the Center of Everything You Do
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Building the next generation of banking
With Rinesh Patel, Head of Industry, Financial Services, Snowflake
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:
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Better customer experience
Improve top and bottom line
Provide more value out existing data
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Increased operational efficiencies
Enterprise-wide data visibility
Enhanced customer retention
Evolving regulations, customer privacy concerns, new technologies and rigid cost controls are impacting the next generation of banking. Together, we accelerate customer-centric and data-driven innovation for financial institutions by navigating through complex data landscapes.
Our offerings enable you to turn customer data into authentic customer intelligence. With Snowflake, we orchestrate one cross-functional team to design, build and implement personalized customer experiences that drive true engagement and fuel rich, lasting relationships.
Created in collaboration with Snowflake, our upcoming ESG Accelerator revolutionizes ESG ratings by giving you a transparent, reliable ESG score, enhanced with AI.
Unlike other providers, we combine and share data from multiple sources and demonstrate how we've scored it. So you can be certain that the rating is not only accurate, but consistent.
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
AI and machine learning give banks the power to better understand banking patterns in the digital world and more efficiently target their most likely future customers.
Banks have long used AI and machine learning to manage fraud risk and prevent revenue loss. The use of AI in the service of smarter customer segmentation at scale is the revenue-generating counterpart. Marketing groups should get just as comfortable as risk management teams in embracing these technologies. We believe it holds the key to success in the age of hyper-personalization.