Information lifecycle management (ILM) is a holistic approach to managing data in Enterprise Applications from creation and storage to its disposal. ILM goes beyond storage, by including facets of managing data at every stage of its lifecycle - creation, protection, migration, security, archiving and eventual disposal of data. It's a comprehensive strategy for profit management, for risk reduction and for maximizing your enterprise-wide information assets.

MySQL technology has been saving time and money for the several large organizations by powering their high-volume websites, business-critical systems and commercial software. Enterprise data management is a proven solution to manage growth in application and custom databases by reallocating data out of production systems into secondary, lower cost storage systems while maintaining seamless data access through the native application or BI layer.

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs.  By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization, instead of compiling data from disparate sources. Enterprise data management application provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Application retirement allows organizations to implement Data migration projects across applications: Legacy, Mainframe, BaaN, JDE, PeopleSoft, Siebel Oracle, SAP, etc. while allowing changes to chart of accounts, organization structure, costing methods, etc.

Archiving in peoplesoft reduces IT maintenance otherwise associated with large data volumes. It also maintains seamless data access to archive data through native PeopleSoft Application interfaces.

It is a common fact that most database applications store company’s confidential details such as employee information, client information, company’s financial details etc. Most often these details need to be shared with developers and others while providing production support for upgrades, training, outsourcing etc. As a result there is a great risk of this data being used for unlawful activities. Data masking helps in protecting data in less secure environments.

Often many applications, which were yielding good results for the companies, become outmoded when organizations grow, merge or strengthen their operations; since not much attention is paid to maintain these applications. Application retirement is the best solution for doing away with disused applications as they expend a lot of resources, storage etc while benefiting the organization very little.

Data migration is a metadata based tool that allows companies to map metadata between applications and create conversion rules for faster and seamless data migration. It acts as an efficient project accelerator for migrations of any nature.

Data subsettting decreases storage requirements and increases IT productivity by reducing the overall size of the final database clone. Database Administrators and Developers can select sets of transactions or application modules and remove the data through deletion or truncation, or use the more efficient Insert Method for database cloning.

Archiving in peoplesoft enables management solutions for performance, security and information access. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

Companies deploy several customizations to Oracle Applications that perform their business specific processes. This requires that the necessary customizations are fully compliant and successfully upgraded for compatibility with new data model.

Application retirement helps organizations to reduce cost while maintaining access to the data either through the creation of a common data store or by data migration into an existing enterprise application. This helps in operational efficiency and reducing cost.

Enterprise data management solutions are ideal for large enterprise companies that manage voluminous business critical data. Data management tools enable companies to more efficiently classify, manage and secure applications, maintain information governance, implement tiered storage strategies and consolidate data.

Data archiving solutions enables in improving and reducing storage and IT costs. Enterprise database archiving restores application performance by up to 50% by relocating inactive data from the production database to a secure online data archive.

Test data management is a strategy for organizations to manage their test and development processes to meet application development and testing requirements, streamline cloning processes and secure data so organizations are equipped to deliver the clones needed to meet upgrade and patch cycles and maintain data security.

Enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, and training. Most companies make 6-8 full size clones for every production application, not only wasting storage and time in cloning but potentially exposing sensitive application data to the test environment. Database masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Application sunsetting and migration tool utilizes an archive engine of enterprise data management instead of traditional ETL tools. This allows faster, seamless, and controlled data migration while implementing information lifecycle management by storing current data on high availability storage tiers, historical data on cheaper storage tiers and the data that is no longer needed to be accessed online, is stored in offline storage such as optical, magnetic, and similar media.

Data migration is a metadata based tool that allows companies to map metadata between applications and create conversion rules for faster and seamless data migration. It acts as an efficient project accelerator for migrations of any nature.

Enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, and training. Most companies make 6-8 full size clones for every production application, not only wasting storage and time in cloning but potentially exposing sensitive application data to the test environment. Database masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Data auditing provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs. By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization, instead of compiling data from disparate sources. Enterprise data management application provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Data Auditing provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.

Database archiving solutions automates the archive and purge process by offloading underutilized data from the production environment, ensuring good operational performance during heavy load times such as quarter end. By deploying Enterprise Data Archiving, organizations maintain performance and can reduce the IT burden of large data sets.

Application Sunsetting and Migration solution is a metadata based tool that allows companies to map metadata between applications and create conversion rules for faster and seamless data migration .

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs. By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization instead of compiling data from disparate sources.

Data archiving restores application performance up to 50% by relocating inactive data from your production database to a secure online data archive. Database Archiving automates the archive and purge process by offloading underutilized data from the production

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs. By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization, instead of compiling data from disparate sources.

Application retirement allows organizations to implement data migration projects across applications: Legacy, Mainframe, BaaN, JDE, PeopleSoft, Siebel Oracle, SAP, etc. while allowing changes to chart of accounts, organization structure, costing methods, etc.

Data auditing provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.

Data that has been relocated after classification is protected from redundant searches or data addition. This helps in maintaining integrity and reduces the strain on database servers. When a quarterly or yearly trend analysis is performed it allows for convenient data purging also. Automation of archiving and purging is available as data archiving solutions . They can be used by multiple projects at the same time and data retrieval is very convenient.

Data auditing provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.

Enterprise data management offer streamline information management, security and automate data storage and retrieval to enable compliance and e-Discovery through long term data retention, data masking, database audit and enterprise search.

Data migration helps enterprises identify the right roadmap and strategy to migrate legacy systems at lower costs and leverage the benefits of years of migration experience on multiple platforms that reduce time to market and maximize productivity.

Enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, and training. Most companies make 6-8 full size clones for every production application, not only wasting storage and time in cloning but potentially exposing sensitive application data to the test environment. Data masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Enterprise data management solutions for managing data holistically, accounting for compliance, cost, and security. With quantifiable improvement across the enterprise, organizations reduce risk, lower costs, and improve performance and operational efficiencies.

Database changes are critical to maintaining compliance with regulatory requirements as well as ensuring adherence to corporate information governance policies. Database audit provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.

Application retirement helps organizations to reduce cost while maintaining access to the data either through the creation of a common data store or by data migration into an existing enterprise application. This helps in operational efficiency and reducing cost.

Data masking is a proven strategy to obscure specific fields that identify an individual, potentially exposing customers or employees to identity theft or other forms of privacy invasion. Utilizing data privacy Pack for Oracle E-Business Suite to scramble, encrypt, shuffle or otherwise mask names, addresses, credit card numbers, salaries, or social security numbers; privacy is ensured and relational integrity is maintained.

Data privacy protection  manages multiple applications metadata for all data types independent of the hardware platforms through a unified policy manager. Data privacy allows the organization to share data while maintaining confidentiality and integrity. Control Management and Configuration Management are key players here. Necessary access controls, password management, version control and track changes are vital in protecting data privacy.

Oracle is the most widely deployed RDBMS system in the world supporting more than 300,000 installations. In addition to the growing number of implementations, current installed Oracle databases are experiencing incredible growth due to the amount of online data in enterprises.

Enterprise customers running Oracle E-Business Suite, JD Edwards, PeopleSoft, Siebel, SAP, Baan, or Custom applications running on Oracle, Informix, Microsoft SQL Server, Sybase or MySQL depend on data to run their businesses. Data archiving is the complete solution for all enterprise database archiving needs to maintain performance and optimize storage.