Case Study
Signable
Delivering self-serve analytics, cost control, and data literacy to Signable
Outcome 1:
Architectural Validation
Strengthened the scalability, security and stability of the data platform
Outcome 2:
Development best practices
Practical guidance during platform development
Outcome 3:
Improved data maturity
Enhanced readiness for AI use cases and expanded data-driven decision making
Project
Signable is a UK-based eSignature platform helping businesses securely manage agreements digitally. Signable’s in-house data team partnered with DATA3 to support the continued development of their next-generation data platform. The collaboration focused on technology selection, best-practice guidance and architectural validation as Signable worked to build a scalable data environment. Working alongside Signable’s internal data team, DATA3 supported the design and implementation of a data model optimised for analytics, BI reporting and future AI use cases. Through weekly workshops as part of DATA3’s Consult package, the Signable team received practical guidance and support that accelerated progress throughout the platform development process.
Problems
- Rapid growth required a more scalable data platform
- Opportunity to standardise and optimise data workflows
- Expanding internal data literacy to support self-serve analytics
From the client
“By working with DATA3, we were able to mature our data stack and take clear steps towards building a scalable data platform. Their expertise helped us evaluate the right tools and approaches, and the workshops gave our team practical guidance as we developed the platform. The work they delivered was pivotal for Signable. They combine strong technical knowledge with a very professional yet personable approach, which made them a great partner during this stage of our data journey.”
Marijn Quartel, Data Analyst Team Lead
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