Reliable Data Structure, Powered by a Modern Data Stack – Azurity

Before:

Lack of interpretable Data and Scalability Leads to Roadblocks

Azurity’s sales reps and decision makers rely on data from across the organization to inform outreach to physicians, providers, and pharmacies. Prior to working with Spaulding Ridge, however, Azurity’s data infrastructure that fed this system was complicated and costly, slowing down Azurity’s growth. Their data model needed to keep up with the demands of their sales team and to quickly onboard data on new drugs for greater sales effectiveness scalability. Their data was also partially inaccessible to critical groups of the business, leading to reporting bottlenecks that slowed down decision-making. With the goal of enabling growth through technology, Azurity turned to Spaulding Ridge for help.

Solution:

Optimize Transparency Through a Modern Data Stack and Cloud Software

Spaulding Ridge partnered with Azurity to establish a modern data stack to support automation and long-term scalability. We developed a re-platform process, bringing Azurity’s formerly outsourced processes and platform in-house through an internal modern data stack that included ingestion using Fivetran and Azure Data Factory, data warehousing through Snowflake, and data engineering with dbt all feeding Azurity’s existing reporting and visualization functionality. Our implementation aligned with two major goals:

• Standardizing data approaches and building a scalable data model to feed into the sales intelligence platform that supports Azurity’s Commercial Operations and Analytics team. By ingesting data from across the organization, Azurity could see a holistic view of sales and marketing, supporting revenue growth, and opportunity targeting.
• Increase efficiency through automation and provide an in-house technology solution, allowing Azurity’s team to own and manage their own data.