"Organization are in the process of making organizational decisions based on actual data rather than intuition or observation alone, this necessitates the collection, organize the data and democratize the data. Data Democratization ensures that high-quality data is available for all users and decision-makers and should be able to benefit from the data assets.
Organizations are now starting to see data as a product, rather than a byproduct, backed up with good governance.
Organizations want to democratize technology by lowering tech barriers. This is enabled by the movement towards DATSIS principles: Discoverable, addressable, trust-worthy, self-describing, inter-operable & secure. Data literacy and support are crucial for the success of democratization. This requires a novel approach to manage the analytical data at scale in the era of data to drive the business, by collecting the huge volumes of internal and external data.
Data Mesh comes to the rescue, is a decentralized sociotechnical approach to remove the dichotomy of analytical data and business operation. Data mesh is a socio-technical approach that promotes data democratization by enabling enterprise-wide users to access any dataset across an organization as a data product, resulting in more business units to monetize data and drive business transformation."

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