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John Smith
Data Scientist, USA
Cloud-Ready Data
Digital Transformation
Data Governance

Data-driven companies must be able to quickly adapt

Adaptive data and analytics governance is the foundation for becoming a data-driven company. The business insights available through the analysis of the data a company already owns are invaluable. While the need is clear, a daunting number of obstacles can often cause organizations to hesitate before beginning that journey.

Historically, data governance consisted of many manual processes with rigid rules focused on strict control of data. It was an IT-driven process, dedicated to the safe storage of the steady stream of incoming data. The IT team focused primarily on security and operated as keepers of the asset. For a while, this was the sound and reasonable approach.

But over the last decade the amount of data flowing into these systems has increased exponentially, as did the number of sources of the data and the number of people who wanted access. What was once a steady but manageable stream of information quickly became an ever-expanding deluge, overwhelming the system and creating new challenges.

Data consumers may struggle to understand their increasingly complex data landscape, leading to a lack of trust in the data. They spend too much time and effort trying to understand the data, its relationships, and how to make it useful for their teams. While data management teams may find it hard to manage corporate data compliance, due to the lack of clarity and consistency of data across the organization.

The old ways of data governance simply cannot continue. Data leaders recognize the need for new strategies to harness and control this massive volume of data, and they need new tools to make these strategies work. The basic challenge is easily defined — how do we securely store and protect this data, while enabling essential and insightful access to it?

The key is adaptive data and analytics governance, the comprehensive management of data and the processes that facilitate collaboration and compliant access to it.

Representing the next step forward in data governance, adaptive data and analytics governance recognizes and expands the role of data governance in driving business value. Adaptive data and analytics governance is context-aware, promoting flexible decision-making and informed business outcomes.

Data governance constitutes the rules and processes by which organizations turn data into insights and insights into actions. Unlike traditional data governance, adaptive data and analytics governance focuses on managing and organizing data and processes to enable collaboration and compliant access to produce insightful business-driving outcomes.

While maintaining strict adherence to regulation, security and privacy, adaptive data and analytics governance moves the focus off IT control, and fosters collaboration between technology groups, data owners and the business consumers of the data.

By giving the keys to the analysts and business users, adaptive data and analytics places the data in the hands of the people driving the business decisions, allowing them to innovate and create relevant and revelatory new tools and analysis. It democratizes the data and unlocks its latent value.

With a world-class adaptive data and analytics governance solution, you can establish the foundation that will let you build a truly data-driven company. 

To learn more about what to look for in an adaptive data and analytics solution, check out our ebook, Adaptive Data and Analytics Governance. The ebook explores these concepts and more, such as the advantages of focusing on business outcomes, balancing security and access, and ways your organization can identify the right adaptive data and analytics governance solution.

Learn why you need an adaptive data and analytics governance strategy.

Read the e-book

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