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 Oracle data masking 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.

Enterprise data auditing ensures that you are alerted when unusual activity is occurring and keeping a secure and searchable audit log of database changes is critical to maintaining compliance with regulatory requirements as well as ensuring adherence to corporate information governance policies.

Information Lifecycle Management solutions are designed to help enterprises manage data growth by providing the tools classify, archive and migrate data to improve application performance and reduce administrative overhead and infrastructure costs.

Enterprise database archiving for PeopleSoft, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage. Test data management helps organizations to achieve faster cloning times through rapid application and database cloning processes.

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.

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 management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, data auditing, and to retire legacy applications.

Information lifecycle management solutions are designed to help enterprises manage data growth by providing the tools to classify, archive and migrate data to improve application performance and reduce administrative overhead and infrastructure costs. Users of Oracle E-Business Suite, Baan, Oracle JD Edwards, Oracle PeopleSoft, Siebel and more are benefit a great deal by data archiving.

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 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 management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, database auditing, and to retire legacy applications. They also help in data archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files.

Enterprise class business applications require multiple copies be made to support test data management tool 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.

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.

Data management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, database auditing, and to retire legacy applications. They also help in data archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files.

With archiving in peoplesoft, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage.

Database cloning creates a database template and restores or inserts only the transactions or modules needed. The Insert Method for database cloning allows IT organizations to create subsets much faster as only the data needed for the test is cloned, resulting in a faster cloning process and reduced storage requirement. Whichever subset method is used, referential integrity is maintained.

Every kind of storage is bound to overflow sometime or the other. It applies very much to software industries. Companies that have large storage data, which would also be needed for future trend analysis, reduce retrieval speed. Such companies can opt for data archiving solutions. Data archiving is built on the concept of preserving data through classification and storage, helps in improving throughput.

With archiving for PeopleSoft, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage.

Data management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, data auditing, and to retire legacy applications. They also help in data archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files.

Information Lifecycle Management solutions are designed to help enterprises manage data growth by providing the tools classify, archive and migrate data to improve application performance and reduce administrative overhead and infrastructure costs.

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.

Data management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, data auditing, and to retire legacy applications. They also help in data archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files

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.

Too much data can slow application and reporting performance and tax IT resources. Utilizing data management tools to actively manage the growth of application data is the key to managing data for its value to the organization. Enterprise Data Archiving solution is part of the Enterprise data management Suite that enables centralized management of data classification and security policies.

Data masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security. 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.

Data archiving solutions helps in reinstating the application's performance to 50% by archiving inactive data. It enables in improving and reducing storage and IT costs. Users of Oracle E-Business Suite, Baan, Oracle JD Edwards, Oracle PeopleSoft, Siebel and more benefit a great deal by data archiving solutions.

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 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.