Maximize the value of your data with Slalom and Snowflake
As the volume, diversity, and complexity of data continue to grow exponentially, legacy data management systems no longer deliver on their purpose to easily govern and mobilize data for on-demand advanced analytics and machine learning use cases.
Organizations are realizing there are efficiency and performance benefits to storing, analyzing, and sharing access to data in the cloud. This approach removes numerous steps and the barriers preventing value realization that stem from siloed data. A carefully planned migration to a data cloud can lead to significant advantages over a conventional data warehouse.
SRS Distribution, one of the largest and fastest growing building products distributors in the United States, has grown to a $4B+ organization since being founded in 2008. Acquiring over 91 companies in 12 years, SRS is a trailblazer in the mergers and acquisitions space that uses a technology–forward outlook to make data-driven decisions that fuels growth and stabilizes business processes. Their digital platform is an industry flagship that has brought recognition from customers, partners, and industry-leaders.
The challenge? How does SRS Distribution maximize the value of their data assets and eliminate costly performance-issue ridden SQL servers in managed hosting spaces.
Watch this on-demand discussion to learn how SRS Distribution modernized their data warehouse with Slalom and Snowflake and realized massive cost savings and performance gains, while empowering their data teams.
Learn how SRS Distribution:
- Designed a production ready proof of concept
- Aligned technical architecture to business outcomes
- Managed people, process, and technology while executing a digital transformation
- Empowered their data teams
Watch on-demand
Meet our speakers
Patrick Garcia, VP Innovation and Technology Adoption
SRS Distribution
Patrick Garcia is the Vice President of Innovation and Technology Adoption at SRS Distribution, the strongest national network of independent roofing distributors based in McKinney, Texas. Patrick leads a team of application, integration, and data developers, focused on building technology solutions that enables a differentiated customer experience and impacts operational efficiency through optimization and automation.
Patrick has over 21 years of experience in systems architecture, IT strategic planning, and global distribution implementations.
Mick Lesko, Enterprise Account Executive
Snowflake
Mick works with Snowflake to help customers in the manufacturing space embrace the Data Cloud. Mick has 10+ years experience working with enterprise customers with successful high-value data projects, and brings a unique perspective on the advantages of a modern data platform. Mick also regularly receives compliments on his impeccable hair style.
Jason Milton, Director - Data & Analytics
Slalom
Jason Milton is a Director of Data and Analytics at Slalom. With over 20 years of experience in data architecture and analytics, Jason focuses on ensuring active usefulness of tools and data. He is an advocate for operationalizing the use of data for clients through modern, cloud based approaches to solving both current and potential future business problems.
Shiv Shah, Senior Consultant - Data & Analytics
Slalom
Shiv Shah is a Senior Consultant in Data & Analytics at Slalom Detroit. Shiv has experience working with data across many enterprise data layers. He helps clients address bottlenecks and enables value realization as data flows from disparate source systems to consumption layers for analytics, business intelligence, and data science teams.
Shiv leverages his doctorate in engineering training to approach enterprise data problems from multiple perspectives and to create scalable and sustainable solutions.