Your Guide to a Data Governance Strategy to Maximize the Value of your Data.
Data can be a liability. It costs to store it. It costs to safeguard it. And with the average financial toll of a data breach estimated at $4.35 million,1 it costs even more to lose control of it. But data is also your organization’s strongest asset – no matter the size of your organization or which industry you are in. Data is the key to discovering insights, informing great customer experiences, and driving innovation. Data governance is a principled approach to managing data during its life cycle – from acquisition to use to disposal. A durable data governance framework unlocks your data asset.
From processes that unify your data across disparate architectures to policies that enable employees to access information when needed, data governance enables your organization to extract long-term ROI from your data and implement AI transformation. To maximize your data asset, your organization requires proactive and automated data governance with built-in data intelligence.
Why data governance matters in the era of AI
Organizations have more data than ever before. And keeping it secure and compliant – while extracting valuable insights – is an increasingly complex task. Data governance is a set of processes and policies that ensure effective data management within an enterprise organization. And automated, AI-driven data governance is the key to tackling today’s data quality, democratization, and compliance challenges at scale. Organizations that don’t take advantage will soon be left behind.
Data is valuable if you use it well
Organizations need to democratize data while enabling domain-specific and corporate-level governance. Tools with built-in data intelligence enable organizations to achieve end-to-end visibility and management of their data. From there, automated tools and policies can grant access to relevant insights to employees across the organization while ensuring compliance with rapidly
changing regulations.
While data governance is commonly perceived as safeguarding data, it’s also key to helping organizations build what’s next. Quality data drives business intelligence and informs technologies such as generative AI and large language models (LLMs). A proactive data governance practice puts data at the core of your business – and powers innovation.
