Overview

What is DataOps?

DataOps is the orchestration of people, processes, and technology to deliver trusted, business-ready data to data citizens, operations, and applications throughout the data lifecycle. With properly governed data, businesses can comply with complex regulations, data privacy and ensure artificial intelligence (AI) model accuracy by monitoring data quality.

Organizations can deploy market-leading DataOps capabilities with IBM Cloud Pak® for Data, a containerized cloud-native platform built on Red Hat® OpenShift®. Solutions include multicloud data integration, automated data cataloging and master data management that increase efficiency, data quality, findability and governing rules in order to provide a self-service data pipeline.

Read “How DataOps can accelerate your journey to AI” ebook to learn more about the critical role of DataOps in your organization.

Use cases

Data compliance and privacy

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Data compliance and privacy

Comply with complex regulations and protect sensitive data more effectively by automating and integrating data governance, data quality and policy management.

Drive business insights

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Drive business insights

Discover DataOps solutions that can monetize your data and deliver up to 87% savings in development costs with automated design.

Resources

Learn more about IBM DataOps

Interactive guide

Learn how IBM DataOps builds a scalable and agile data-driven culture through automation, data quality and governance.

White paper

Implement DataOps to deliver a business-ready data pipeline.

Infographic

Organize your data to be AI-ready with IBM DataOps.

Blog

IBM Cloud Pak for Data is ready to support IBM DataOps.

Webinars

View the latest DataOps webinars on-demand.

Blog

Fast delivery of trusted data pipelines to people, applications and analytics helps you to adapt more quickly to changing market conditions.

Engage an IBM DataOps expert

Schedule a one-on-one consultation with experts who have worked with thousands of clients to build winning data, analytics and AI strategies.