Follow industry best practices to quickly mature your data stack

Governance

Data Governance establishes the processes and responsibilities that ensure the quality and security of the data used across a business or organization. It is a principled approach to managing data throughout its life cycle; from acquisition, to use, and finally to disposal. Datacoves helps your team consider aspects outside of technology that will contribute to the value of your data assets.

Security and Compliance

Safeguarding data and implementing strategies so that only the people with a business need can access it is crucial. Our framework helps companies meet both internal and government regulations so that they can meet data security and privacy standards like GDPR, CCA, etc.

Data Quality

Data that fits its intended purpose is considered high-quality. Data Quality processes and governance validations are built into our process so that invalid data does not reach decision-makers and trust in the platform is assured.

Data Understanding

Empowering users to solve their data needs begins with proper organization and documentation of your data assets. We provide guidance on how to get data from its raw form to user-friendly datasets with multiple levels of documentation and end-to-end transparency so users can depend on the data they use.

DataOps

Repeatable, consistent, and scalable data processes help you scale as your team grows. We help you deploy analytics data pipelines that follow mature software development conventions used at fortune 500 enterprises by leveraging pre-defined automation.

FAQs

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