6 Critical Steps for Scaling Secure Universal Data Authorization
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Modern data platforms continue to grow in complexity to meet the changing needs of data consumers. Data analysts and data scientists demand faster access to data, but IT, security and governance are stuck, unable to figure out how to give access to the data in a simple, secure, and standardized way across a wide variety of analytic tools.
In fact, according to Gartner, through 2022, only 20 percent of organizations investing in information governance will succeed in scaling their digital businesses. As a result, organizations are designing data access frameworks that allow them to overcome the data delivery challenge, maintain scalability, and ensure universal data authorizations across all parties.
Why Modern Data Platforms are So Complex
Organizations of all sizes continue to leverage data to better understand their customers, achieve competitive advantage, and improve operational efficiency. To meet these needs, an enterprise data platform capable of handling the complexity of managing and using the data is essential.
One of the biggest challenges facing data platform teams today is how to make data universally accessible from the wide range of disparate storage systems (data lakes, data warehouses, relational databases, etc.) while meeting increasingly complex data governance and compliance requirements due to emerging privacy legislation such as GDPR, CCPA, etc.
This complexity is exacerbated by the disconnect between data stakeholder groups: the technical data platform and data architecture teams; centralized data security and compliance; data scientists and analysts sitting in the lines of business chartered with generating insights; and data owners and stewards responsible for building new data products.
Without proper data access and an authorization framework to help automate processes, the complexity of managing customer data and personally identifiable information (PII) will significantly affect productivity and limit the amount of available data that can be used.
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