Case Study: Leading Chocolate and Confectionery Manufacturer achieves rapid, data-driven insights with EdgeVerve's Nia Data

Nia Data implemented by a global confectionery leader as the data lake foundation driving big data analytics

Leading Chocolate and Confectionary Manufacturer in the US needed a scalable data lake to enable big data analytics and data-driven decision making. EdgeVerve was engaged to implement Nia Data as the foundation for that initiative, addressing ingestion, validation, transformation and harmonization of enterprise data.

EdgeVerve implemented Nia Data with ingestion pipelines, IIP models for data validation/transformation, and analytics-ready data models and on‑demand schemas; the initial AWS implementation was later migrated to Azure and the lake now holds 20 TB. As a result, business users can explore harmonized data, run multiple experiments in parallel and validate hypotheses within weeks, enabling faster analytics-led decisions and measurable acceleration of insight-to-action.