Optimize application portfolio

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.

Data privacy pack for oracle E-Business suite

Data masking is a proven strategy to obscure specific fields that identify individuals, potentially exposing customers or employees to identity theft. Utilizing data privacy pack for oracle E-Business suite to scramble, encrypt, shuffle or mask names, addresses, credit card numbers, salaries, or social security numbers; privacy is ensured and relational integrity is maintained.

Information Lifecycle Management (ILM) is a data management practice that manages data from inception to storage to eventual disposal for its cost, use and value to the organization. Information Lifecycle Management (ILM) uses established policies to determine how data should be managed and what data tiers and storage technologies are best suited to the data value and use.

Enterprise Database Archiving restores application performance up to 50% by relocating inactive data from the production database to a secure online data archive. Using data archiving reduces overall storage costs while maintaining access through the native application. This provides a complete solution for all enterprise data archiving needs.

Ensuring Data Security through Masking

Private and confidential customer and company 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. With the data masking policy based archiving schemes where specific, sensitive data is masked according to pre-set algorithms before the database is released to the test environment.

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 audit, 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.

Management with Effective Database Management

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.

Enterprise Data Auditing

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 audit log of database changes is critical to maintaining compliance with regulatory requirements as well as ensuring adherence to corporate information governance policies. Database audit 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.

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

Migration methodology with measurable performance milestones

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; enterprise data migration solution enables seamless data migration across enterprise applications.

Maintaining data privacy in non-production environments is an important step in the IT governance chain that will keep sensitive data private and corporate reputation intact.

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.

Data Privacy Pack for Oracle E-Business Suite

Enterprise 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.

Data privacy pack for Oracle E-Business Suite can be deployed on non-production databases to ensure customer and employee privacy by obscuring sensitive data such as names, addresses, social security numbers and other sensitive data prior to the data being released to the test and development environment.

Application performance for improvement of business

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.

Enterprise data management solutions for managing data holistically, accounting for compliance, cost, and security. With quantifiable improvement across the enterprise, organizations reduce risk, lower costs, and improve performance and operational efficiencies.

Database changes are critical to maintaining compliance with regulatory requirements as well as ensuring adherence to corporate information governance policies. Database audit 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 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.

Data Management Solutions for Large Enterprises

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 management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, database audit, 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 Management Solutions for Telecom

The wireless technology, the Internet, the convergence of data, voice and media and industry consolidations driven by mergers and acquisitions has led to a major metamorphosis in the telecom industry in the last fifteen years. This resulted in a number of challenges for the telecommunication industry like declining revenue, customer churn and growth in regulatory requirements.

Due to millions of subscribers and massive operations, data volumes are in multi-terabytes, and growing exponentially every year. In the wake of growing data volumes and regulatory concerns, a data management solution can help telecom companies in maintaining their competitive edge.

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.