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What Is Data Management? Data Management Definition
Data management is the practice of collecting, organizing, protecting, and storing an organization’s data so it can later be analyzed to make business decisions. It involves a range of processes and technologies to ensure data quality, security, and accessibility.
Data Governance vs. Data Management: Main Differences
Data governance sets the rules and standards for data, while data management implements those rules and standards. Both are vital for a company’s long-term data strategy to ensure data quality and safety. Find out more about these two critical data topics.
Master the differences between data management and governanceData Management Tools
Effective data management requires the right tools to store, process, and secure information across an organization. From database management systems (DBMS) to data integration platforms, businesses rely on a variety of solutions to ensure accessibility, accuracy, and compliance. These tools help automate workflows, improve data governance, and enable real-time insights for better decision-making.
Data Management Solutions & Systems
Modern businesses have more access to data than ever before, but making sense of that data can pose a real challenge. Discover the data management solutions and systems that can help you create order out of chaos.
Data management systems to better suit your needsWhat Is A DMP (Data Management Platform)?
A data management platform allows companies collect, organize, and deploy data from customers for use in online campaigns. DMP have broad usage across an organization, but are commonly used for audience targeting and personalization. Learn about the 4 types of data management and the difference between a DMP and CDP (Customer Data Platform).
Find out more about data management platformsMachine Learning For Data Management
Machine learning is a useful tool that can be used to improve data management. Understand how machine learning can help manage data through optimization, capacity management, and automation. Unlock the power of machine learning for your organization.
A Solution for Test Data Management
Test data management (TDM) can certainly create some unforeseen challenges, but the benefits of a successful TDM strategy are immense. Ideally, TDM should provide your organization with a secure data environment, efficient data usage, and delivery in production-like conditions. Find out how to transform your enterprise’s test data management process.
Improve Data Management and Protection with Hybrid Cloud
Mainframe data plays an important role in modern business and as a result, needs modern data management solutions. Discover how you can reduce costs, improve security, and centralize data management.
Watch the data management webinarUBM: Transforming Db2 Data Management
In today’s modern age, effective data management is vital. IT and mainframe database administrators (DBAs) have stepped out into the limelight. Unfortunately, DBAs were using outdated tools to solve a new age problem. But that doesn’t need to be the case. Learn how to equip DBAs with the tools they need.
Access the db2 data management ebookNedbank Achieves Mainframe Innovation On The Cloud
Nedbank Group is one of South Africa’s largest banks. With its ongoing expansion, the bank decided to move to the cloud to support its core capabilities including data management. Check out how Nedbank was able to make the transition to cloud in only 8 months and reduce its backup time from 48 hours to 36 minutes, providing massive cost reductions.
Explore the data management case study