Data Lifecycle Management
IBM InfoSphere Optim solutions for data lifecycle management enable organizations to manage their data from requirements to retirement. Through effective lifecycle management, Optim solutions help to reduce risk and costs, speed solution delivery, boost performance and address compliance requirements for databases, warehouses and big data environments as part of an overall information integration and governance strategy.
Managing Data Growth and Data Retention
As organizations strive to become more profitable and competitive, they look to leverage the myriad of data available to them. Managing this data which is growing exponentially has become increasingly challenging. Large volumes of data are stored in various data repositories across these organizations. As a result of this extensive growth, organizations store more and more data every year in production systems.
While it is good organizations have more information to leverage, this rampant data growth can impair the performance of your mission-critical enterprise systems, negatively impacting the processes and functions those systems were designed to deliver for the business.
InfoSphere Optim Archive is the proven, market leading solution that solves data growth, retention & access challenges by removing, retaining and providing access to data no longer required for day to day business processing or decisions. This enables clients to improve profitably, agility and risk mitigation. And Optim Archive is a heterogeneous solution, enabling organizations to manage all of their data consistently, and ensure access to meet long-term retention requirements, regardless of the source application(s) or database(s) involved.
Managing Data to Improve Test and Development
Business leaders are asking IT to deliver higher quality applications in less time so they can grow their business. To reach that goal, IT leaders are embracing methodologies like Agile development. With the fast-paced, iterative nature required, it becomes imperative for organizations to have effective and efficient testing strategies which match the same pace and rigor - complete with processes for managing test data. Often overlooked, test data management can influence whether a project meets its time-to-market, quality & budget requirements or not.
IBM InfoSphere Optim Test Data Management solution manages test data holistically, with capabilities creating “right-sized”, fictionalized data delivered through a self-service framework. Optim Test Data Management enables organizations to eliminate costly cloning processes, speed test runs and correct defects earlier in the development process while protecting sensitive data.
Another critical aspect of testing is to simulate the workload that will be encountered in production to ensure SLAs are met after upgrading hardware, databases, operating systems or after applying patches. IBM InfoSphere Optim Query Capture and Replay enables organizations to ensure that changes to environments will perform as expected upon implementation by capturing production workloads and replaying them in non-production environments for testing purposes.
Data Privacy
Protecting data privacy is not an option—it’s the law! And the volume and complexity of the laws and environments containing data requiring privatization continue to increase. The proliferation of endpoint devices, growing user volumes and new computing models like cloud, big data and social business are only exacerbating the problem.
To comply with data privacy regulations and avoid data breaches, organizations need to adopt a policy-driven, on-demand, transformation approach. This is a must, to proactively protect and de-identify data across both production and non-production environments, and support compliance.
InfoSphere Optim Data Privacy solution brings flexibility, scalability and adaptability to data transformation by helping organizations:
- Understand where sensitive data exists
- Mask data on-demand in databases, warehouses, big data and cloud environments
- Mask data on-demand in both production and non-production environments
- Mask data on-demand in applications or business reports to support real-time decision making
- Redact data in documents, forms, files images and more!
Optim Data Privacy solution supports heterogeneous enterprise environments including custom and packaged applications such as JD Edwards EnterpriseOne, Oracle E-Business Suite , PeopleSoft Enterprise, Siebel Customer Relationship Manager, SAP, and all platforms including Windows, Unix/Linux and IBM z/OS.