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.

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.

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 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.

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.

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 on offline storage such as optical, magnetic, and similar media. Data is asset to an organization which used to showcase how well it manage and protect vital information. Any inappropriate usage may lead to breach of security and loss of data privacy.

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.

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.

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 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.

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.

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.

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 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.

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.

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.

Business online transaction processing applications are designed and architected to efficiently record and store the transactional history of the organization. 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.

Data archiving is a proven strategy to relocate data to less expensive Tier 2 storage, reducing the need to continuously add to storage to production systems. Most experts conclude up to 80% of production data is no longer mission critical, using data archiving reduces overall storage costs while maintaining access through the native application.

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.

The need for 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, data migration delivers an intelligent enterprise data migration solution that enables seamless data migration across enterprise applications.

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.

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 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.

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 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 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.

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 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 has the right to be protected. Privacy and Integrity are those that make any kind of data unique. To initiate the process of data privacy , there are basic ground rules to be followed. The basic qualification should be the need perceived for data. Vital organization data has to be protected first. On segregating such data, all storages that protect them are to be secured from external access.

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 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 archiving solutions 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 environment, ensuring good operational performance during heavy load times such as quarter end.

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 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.

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 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.