Instance Subsetting Solutions

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. Secure test and development provides companies with a centralized solution to control the test data management process for clone creation, productivity and data security. Data masking helps in protecting data in less secure environments.

While the benefit of archiving reduces the overhead cost of data maintenance, when it stretches beyond the need for existence the natural course to take is retirement. Application retirement solutions offer data migration services across applications, operating systems and databases. While data need not be totally eliminated, it can involve a mix of archiving and deletion.

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 enterprise data archiving.

Information Lifecycle Management Solutions

Data is the life blood of any organization, but too much data can slow application and reporting performance and tax IT resources. Utilizing data archiving to actively manage the growth of application data is the key to managing data for its value to the organization. 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 enterprise data archiving.

Data is an asset to the organization. It is used to showcase how well an organization manages and protects vital customer information. Any inappropriate usage may lead to breach of security and loss of data privacy. During such conditions, sensitive information may be changed or deleted leading to loss of trust from customer

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.

Facilitating Compliance and Intelligent Information

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.

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. Secure Test Development has several methods to protect the data before it is shared with the developers. Its option of copying only the required data makes the database smaller thereby requiring only less storage space.

Using data archiving reduces overall storage costs while maintaining access through the native application. This provides the complete solution for all enterprise data archiving needs. Data auditing tools allow enterprises to mitigate security risks with real-time event notification and maintain audit logs of all data changes for search and retrieval during an eDiscovery inquiry.

Centralized management of 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.

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.

Streamlining and Securing the Test Data Management Processes

Private and confidential data is often locked in production systems; credit card data, social security numbers, financial, HR data and customer lists are just a few of the fields that need to be secured. The Gramm-Leach-Bliley Act and HIPAA are just the latest in a long line of privacy regulations that will directly impact organizations that fail to secure their corporate data. Data masking enacts policy based archiving schemes where specific, sensitive data is masked according to pre-set algorithms before the database is released to the test environment.

Too much data can slow down application performance and 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 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 for Lifecycle Management

Data is the life blood of any organization, but too much data can slow application and reporting performance and tax IT resources. Utilizing database archiving to actively manage the growth of application data is the key to managing data for its value to the organization. Data 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. By deploying Enterprise Data Archiving, organizations maintain performance and can reduce the IT burden of large data sets.

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.

Automating Data Auditing

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.

Higher productivity and a positive impact to your organization

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.

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.

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 organizations so that more attention can be given on their maintenance.