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.

Viable Strategy for Eliminating Redundant Legacy Applications

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.

With e-Business suite archiving 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.

Ensuring Data Security through Masking

Many organizations have tried alternative approaches to archiving, such as running batch reports during downtime, purchasing faster hardware or purging data by completely removing data from access. None of these strategies fully address the challenges of database growth and the need for long term data retention. 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.

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 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.

Data Management for Compliance and Information Lifecycle Management

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.

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 data management application provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Application Migrations

Application retirement is a growing reality for many organizations as they grow, merge or otherwise consolidate operations. The number of enterprise systems that IT departments support continues to grow. Applications that are candidates for retirement consume computing resources, storage, and manpower to maintain yet provide very little business benefit to the organization.

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.

Easy Cloning Tool

Database cloning 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.

Database cloning 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. This helps organizations to achieve faster cloning times through rapid application and database cloning processes.

Retire Legacy Application

Applications that are candidates for retirement consume computing resources, storage, and manpower to maintain yet provide very little business benefit to the organization. Often, applications that support hundreds of users at rollout are later used by very few.  While the majority of IT budgets support existing applications, very little attention is typically paid to the total cost of maintaining an application.

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 Life Cycle Management

As data volumes grow in mission critical databases, business agility is impacted as application performance deteriorates. Regulatory compliance, the business value of data and potential data security threats are requiring enterprises to evaluate their data management strategies and implement solutions that solve today’s data management challenges.

As the value of data to the business changes over time, proactively implementing an information lifecycle strategy can address these challenges, mitigating risk, lowering TCO and improving business performance. Enterprise data management provides the solution for managing your data holistically accounting for compliance, cost, and security. With quantifiable improvement across the enterprise, gain risk reduction, improved performance, lower costs and improve operational efficiencies.

With E-Business suite archiving solution for Oracle Applications, 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.

IT Efficiency with Automated Cloning

Creating clones 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. Data masking decreases storage requirements and increases IT productivity by reducing the overall size of the final database clone.

The test data management 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. Secure test and development 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.