What makes a strong data platform?
A strong platform enables the business to rapidly access valid data, design effective reporting and extract more value from data through, for example, machine learning. This will result from a well-planned platform strategy, which should be centered around business goals, such as cost reduction, time to market, increased security or any other business KPIs.
From an engineering perspective, a strong platform is (just like a strong software), easily scalable, reliable, secure and maintainable. Any platform strategy should (at least) factor in these considerations. Moreover, a strong platform is built on strong engineering principles. To achieve a strong data platform, Xomnia recommends the following starting points:
Managing infrastructure and security through automation Infrastructure as Code (IaC)
Automating and testing deployments and security through a rigid process of Continuous Integration and Continuous Deployment (CI/CD). Ideally, no changes should be made to any part of the platform outside of CI/CD pipelines.
Appointing data stewards that enforce and promote data standards across the business. This should be combined with automated evaluations and reporting on data quality
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