Data Mesh for Consumer Insights
A consumer products company wanted to use consumer data to make intelligent decisions for product development and marketing.
Their data architecture did not support gathering, orchestrating and managing the consumer data available from internal and external sources.
They also lacked real-time access to insights at the correct granularity to support decision-making for key stakeholders.
Built a robust data mesh foundation using agile cloud data warehousing practices.
Developed scalable, fault tolerant data pipelines to collect, ingest and transform structured and unstructured consumer data from all sources.
Fed data into real-time dashboards and reports as well as self-service analytical tools.
Established governed platform to support data exchange between partners, producers and consumers.
Better alignment of corporate strategies and business models with current consumer trends.
Created organizational resilience and agility to respond to evolving consumer demands.
Data mesh architecture can morph into a framework for domain-specific use cases as the company’s data maturity increases.
Governance layer created regulatory compliance for expansion to global markets.