Data Archiving allows companies to securely manage their archiving processes. There is no need for multiple installations of database tools or application metadata for each server environment. Application archiving helps organizations to implement a comprehensive data management strategy. Implementing information lifecycle management is the best practices with EDMS, organizations can Secure data throughout the entire data lifecycle.

Data Management Suite's modular and centralized architecture allows companies to securely manage their data management processes. This helps organizations reduce high cost infrastructure in production systems.

With the help of baan database organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console. 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.

EDMS supports all JD Edwards modules. It can be integrated with any module in JD Edwards through EDMS objects that define the most common JD Edwards business logic.

In the US, Data Centers release 44 million metric tons of CO2 into the air annually, consuming 61 billion kwH and costing $4.5 billion. Going green in the data center is about reducing power, reducing CO2 and driving energy cost out of the IT infrastructure. A smart data management policy is critical to reducing the cost in power and cooling while fulfilling the needs of data retention.

Ensure sensitive data remains protected against the largest security threat: internal resources. Financial services data management allows financial services companies to identify data that meets specific data security and retention requirements and automate how data is protected and managed throughout its entire lifecycle.

Retailers are taking measures to improve retail data security around consumer data, but more can be done.  When retailer IT data centers make copies of their production database systems, the copies contain the same customer sensitive information as the production environment.  Audit controls and data security policies need to be extended to the non-production systems to ensure customer data is safe at all stages of the application development lifecycle.

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.

Manage test data 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.

Health data management solutions enable centralized management of data classification and security policies. At the core of the EDMS is the Enterprise Metadata Manager, which manages multiple applications and data types across all hardware platforms through a unified policy manager.

Organizations can create and deploy consistent policies for managing, securing and storing data from a single console with the help of application archiving. 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.

Thousands of customers worldwide are running BaaN modules for manufacturing, financial, project estimating, management and distribution. Too much of load on databases over a span of time slows down the application performance. Also, database table size limitations make enterprise data management an important data management strategy for Baan customers. With the Enterprise data archiving solution for Baan, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console.

Archiving in peoplesoft enables management solutions for performance, security and information access. This provides a complete solution for all data archiving needs. Database Archiving for PeopleSoft, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console. 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.

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 administrators who vouch for speed and usability will definitely benefit from this kind of solution. When profits and budgets are more often analyzed, application retirement is the best option to go for.

Application retirement is a growing necessity for many organizations as they grow, merge or consolidate operations. The number of enterprise systems that IT departments support continues to grow. Strategic moves away from proprietary mainframe and applications systems coupled with efforts to reduce IT spending on existing infrastructure are bringing focus on application retirement as a way to fund new projects or make the existing IT budget go farther.

Creating data masking is a labor intensive and manual process where servers, applications and storage devices are configured for each new clone, an inefficient process for a routine data center activity. By automating the cloning and post-cloning processes, clones are created and configured faster and with fewer errors.

Most enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, etc. Hence 6-8 full size clones are prepared, thereby potentially exposing sensitive application data. To ensure sensitive data remains protected against the largest source of vulnerability, the internal threat; data management suites allow telecom operators to identify data that meets specific security and retention requirements and automate how the data is protected and managed throughout its entire lifecycle.

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. They also help in database archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files.

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 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.

Every kind of storage is bound to overflow sometime or the other; it also applies 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.

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.

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

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.

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.

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.

Enterprise data management provides the data management framework for all enterprise applications and databases including database cloning, sub setting and data masking to allow organizations to protect data in non-production environments while reducing infrastructure costs and improving development cycles.

Data archiving ensures database performance is optimized for the business need while creating savings in storage and data maintenance activities. Users of Oracle E-Business Suite, Baan, Oracle JD Edwards, Oracle PeopleSoft, Siebel and more benefit a great deal by enterprise data archiving.

Test data management tool manages multiple applications and data types across at hardware platforms through a unified policy manager. 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 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.

Every kind of storage is bound to overflow sometime or the other; it also applies 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.

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. It helps in helps in providing retirement to applications that are on the verge of it. It reduces the number of applications within the organ data auditing.

Data archiving is an efficient solution to enhance application performance through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage 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. 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.

Most enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, etc. Hence 6-8 full size clones are prepared, thereby potentially exposing sensitive application data. To ensure sensitive data remains protected against the largest source of vulnerability, the internal threat; data management suites allow telecom operators to identify data that meets specific security and retention requirements and automate how the data is protected and managed throughout its entire lifecycle.

Application retirement is a growing necessity for many organizations as they grow, merge or consolidate operations. The number of enterprise systems that IT departments support continues to grow. Strategic moves away from proprietary mainframe and applications systems coupled with efforts to reduce IT spending on existing infrastructure are bringing focus on application retirement as a way to fund new projects or make the existing IT budget go farther.

Enterprise data management solutions for compliance and information lifecycle management 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.

The need for data migration of applications in enterprises arises from changes in business demands or technology challenges to improve operational efficiency and to manage risk. Addressing the growing need of enterprise application networks to migrate data across applications, protocols and proprietary data structures, it delivers an intelligent enterprise data migration solution that enables seamless data migration across enterprise applications.

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. Database cloning is therefore very helpful 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.

Using database archiving reduces overall storage costs while maintaining access through the native application. This provides a complete solution for all enterprise data archiving needs. Most experts conclude up to 80% of production data is no longer mission critical.