Manages multiple applications and data types

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.

Application retirement reduces 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.

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.

Mitigate risk by extending security policies

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.

Centralized management of data classification and security policies

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.

Securing sensitive data in database environments is only one piece of the compliance puzzle. Ensuring that you are alerted when unusual activity is occurring and keeping a secure and searchable data auditing log of database changes is critical to maintaining compliance with regulatory requirements as well as ensuring adherence to corporate information governance policies

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

Manage and Migrate application data

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.

Deploy Consistent and Effective Security Policies

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

Secure sensitive data from leaking outside the organization

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.

Information Lifecycle Management (ILM) ensures that under-utilized data is moved out of expensive Tier 1 storage technologies into less expensive Tier 2 or Tier 3 solutions, freeing up IT resources from creating unnecessary back-ups and clones for test and development while ensuring data access is maintained in the original application context.

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 allows companies to securely manage test data and development processes with a single tool. There is no need for multiple installations of database tools for each server environment.

Leverage your IT investments

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.

Improve operational efficiency and manage risk

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.

Leverage your IT investments

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.

Improve operational efficiency and manage risk

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.