Case Study: Algolia achieves improved data quality and a single source of truth with Dun & Bradstreet

Algolia and D&B Data Transformation to Sustain Growth

Algolia, a fast-growing search-as-a-service company, was struggling with inconsistent CRM and prospect data that was slowing productivity and making it hard to maintain a reliable single source of truth. To keep pace with growth, Algolia turned to Dun & Bradstreet and used D&B Connect, D&B Hoovers, and D&B Rev.Up to clean up and standardize its data and improve sales and marketing effectiveness.

Dun & Bradstreet implemented a multi-part data transformation that matched and standardized records, provided account scoring to prioritize the best prospects, and gave sales teams direct access to buyer intelligence in Salesforce. The result was improved data quality, stronger governance, and new efficiencies such as predictive modeling, helping Algolia build a more dynamic, scalable data foundation for future growth.

Algolia

Geert Wirtjes

Vice President for Systems and Process Transformation