IBM has embarked on a strategic initiative to deliver an integrated, yet modular, data management environment to design, develop, deploy, operate, optimize and govern data, databases, and data-driven applications throughout the entire data management lifecycle. IBM calls this Integrated Data Management.
By focusing across the lifecycle and enabling different roles to collaborate, you can increase organizational productivity, agility, and effectiveness, while improving the quality of service, cost of ownership, and governance of diverse data, databases, and data-driven applications.
Individual products provide powerful capabilities that target specific data management roles and tasks; more importantly, the components interoperate, enabling cross-role collaboration and cross-product synergy. And to deliver a true lifecycle solution, integration extends beyond Optim to include a broad range of IBM offerings.
This article takes a look across phases and roles to articulate how IBM’s solutions for Integrated Data Management can help you get more value from your information and help your team be more aligned, productive and effective.
Diverse, distributed, and interrelated environments.
Have you noticed that it’s hard to find a standalone application anymore? Everything is interrelated. One system feeds another and all must come together to present a common view of the customer, whoever your customer might be.
Thus it is increasingly important to look at how to manage your information assets more holistically and strategically. Organizations need help to inventory and understand what assets they have and how they are related.
A common definition of customer or patient or citizen or supplier across the organization is required. You need to understand data movement and data lineage. And that’s going to mean discovering and sharing the information that you have about your data assets cross-role, cross-solution, and cross-lifecycle.
End-to-end management of the data lifecycle
Today most organizations have myriad products in-house from many vendors supporting different roles and tasks. Each focuses on providing rich task-specific value but puts little emphasis on linkages with the preceding or next phase in the lifecycle. Wouldn’t it make life easier to define access or retention policies when the data is first designed and let the tools propagate that information from phase to phase and tool to tool? IBM software can support each phase of the lifecycle with robust offerings for data-centric tasks and roles, as well as provide support for designing and implementing key cross-phase linkages. The following list defines the key phases in a data-centric software lifecycle:
Discover and design
Discover, harvest, model, and relate information to drive a common semantic understanding of the business and to identify key information that must be protected.
Develop and test
Code, generate, test, tune, and package data access layers, database routines, and data services. Configure, change, and promote applications, services, and databases into production.
Administer databases to meet service level agreements and security requirements while providing responsive service to emerging issues. Provide pro-active planning and optimization for applications and workloads, including trend analysis, capacity planning, and growth planning.
Archive and retire
Separate historical data from current transactions, and safely remove historical data to a secure archive to lower costs. Improve performance of current transactional systems, and comply with regulatory requirements.
Audit and protect
Establish, communicate, execute, and audit policies and practices to standardize, protect, and retain data in compliance with government, industry, or organizational requirements and regulations. Not limited to a single phase, these data governance concerns must infuse the entire lifecycle.
Whether a data architect, developer, tester, administrator, or steward, the Integrated Data Management portfolio by IBM has capabilities that that can help you be more effective and efficient. But more importantly, the portfolio and roadmap are delivering a collaborative environment that will deliver organization productivity and efficiency to make an organization more responsive to opportunities, improve the quality of service, mitigate risk and reduce costs for diverse data, databases, and data-driven applications.
Watch this complete resource to get more ideas about the managing data in its lifecycle.