Case Study

DocuSign Case Study

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CUSTOMER CASE STUDY Journey to a modern cloud analytics platform Company: Location: Industry: Employees: Product: Use Case: Website: DocuSign San Francisco, CA Digital Transaction Management 3000+ Matillion ETL for Snowflake Data Warehouse Modernization / Reporting Analytics / Security About DocuSign DocuSign helps organizations connect and automate how they prepare, sign, act-on, and manage agreements. As part of its cloud-based System of Agreement Platform, DocuSign offers eSignature—the world's number one way to sign electronically on practically any device, from almost anywhere, at any time. Today, more than 400,000 customers and hundreds of millions of users in over 180 countries use DocuSign to accelerate the process of doing business and to simplify people's lives. The Challenge As the leader in its space, DocuSign had developed a strong business intelligence infrastructure and robust set of analytic solutions to help the company make data-driven decisions. As Docusign continued to grow, however, it became apparent that it's legacy infrastructure lacked the scale and performance it needed to keep pace with the demands of the business. The legacy solution was also becoming costly to maintain, pushing DocuSign to consider moving its business intelligence infrastructure to more modern and flexible options. The Solution While selecting a cloud data warehouse (CDW) provider was a key piece of its data modernization strategy, DocuSign also needed a broader solution that could: After an in-depth evaluation, DocuSign selected Snowflake as its CDW provider and Matillion ETL for Snowflake to best facilitate DocuSign's transition to the cloud, aggregate its various data sources, and create the dimensional models needed for downstream consumption. For anybody in this space, Matillion is a breath of fresh air given legacy solutions. Businesses could see a significant acceleration of projects, ETL performance, and reduction in operating expenses. © 2019 Matillion. All rights reserved Robert Parker, Senior Director of Business Intelligence Move data from its SQL Server environment into the chosen CDW. Quickly process large amounts of data to meet performance objectives. Ensure that data in transit remained secure.

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