Feed your insatiable data monsters

Every line of business wants something from you. Functions from marketing and product to customer service and operations need high-quality data to fuel new customer experiences, efficiencies, insights and innovation.

Unfortunately, most data leaders are still stuck playing defense instead of moving the data ball forward. Whether you’re nervous about being on the front lines or excited you’re finally getting the resources you need, data leaders now have more power, impact and accountability to profit.

And AI is adding all kinds of fuel to this fire.

Supporting innovation at scale — and at the pace of change and opportunity — requires laying a foundation that serves a variety of stakeholders:

Data citizens need access and understanding
Data scientists need a way to share and understand AI use cases so they don’t have to start from scratch with every new model (plus data access)
Data owners need flexibility to define and use data in the way that best suits their department, such as in federated models
Risk, compliance and legal stakeholders need a simple, consistent way to review cases and create and apply policies

How to build the foundation to support innovation at scale

Defrag your data governance

How to accelerate every data use case, safely — with unified governance

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You can’t have scale without automation and self-service

Data leaders cite problems in finding data and business users’ lack of skill in self-service analytics as the biggest obstacles to executing a vision for data.³

Use a data marketplace to enable every data user to find, understand and use data — with compliance and access built in. Workflows for request reviews make it simple to govern.⁴

Any system should focus on creating safe autonomy for users. It requires unified control, visibility and tracing. Trying to pull that off with multiple governance tools — like spreadsheets or data catalogs that don’t talk to each other — creates blind spots and inefficiencies.

So how do you move from governance chaos to governance clarity —the kind of clarity that helps you safely activate data?

Metadata has a big role to play, and it must persist across systems. Metadata can create active links between datasets and policies, models and AI use cases, bringing automation to cataloging, assessing and monitoring every use case or AI model, as well as underlying datasets.

Implementing an end-to-end platform that serves every user and uses active metadata to apply governance across any system or source can help you solve for speed and safety at scale — preparing you for the future.

³Data Governance Market Trends, 2024

⁴Empower everyone with a data marketplace and self-service access