With the growing number of data sources and need for agility, a decentralized data architecture concept- Data Mesh can be explored to enforce data quality and governance adherence. Data Mesh achieves this via decentralizing the data responsibility to domain level and making high quality transformed data only available as a product.

Every year more data is produced globally. This holds also for companies: more details than ever are recorded from customers, partners, transactions, products and supply chain resulting in more data. According to IDC , “the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025”. This data forms the raw material from which organizations are drawing valuable, actionable insights. But the collection, integration and governance of this data is still one of the main challenges and inhibitors as established in recent research by Deloitte.

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