Exclusively focus on managing and mobilizing data information

Oracle 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.

Financial data management allows organizations to install a single solution that leverages metadata from different applications. With integrated enterprise search, IT and end users can access and retrieve customer information that is either in the production system or is archived – whether it’s in a transactional system, email, ERP Report or in a Profitability Analysis of a BI system

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.

EDMS for PeopleSoft archiving offers organizations the ability to Maintain seamless data access to archive data through native PeopleSoft Application interfaces and complete integrated de-archive, space re-claimer and patch synchronization utilities to assist in data management processes.

Manage your enterprise data overload

Enterprise Data Management Suite’s modular and centralized architecture allows companies to securely manage their archiving processes. There is no need for multiple installations of database tools or application metadata for each server environment. Baan database increase productivity among application users and application administrators, and reduce IT maintenance otherwise associated with large data volumes.

Enterprise Applications and Databases are designed and architected to efficiently record and store the transactional history of the organization. With application archiving, organizations can create and deploy 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.

With health data management solutions, 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.

SQL Server archive is the fastest growing RDBMS system in 2006(1) and is the underlying database for small custom applications to global implementations of SAP. Data management solution is a proven strategy to manage growth in application and custom databases by data archiving out of production systems into secondary, lower cost storage systems while maintaining seamless data access through the native application or BI layer.

Create a system for long term data retention and application retirement

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 application strategies and implement solutions that solve today’s data management challenges. Because 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.

Test data management processes are critical to maintaining applications and databases, but creating the necessary clones is a labor intensive activity for any IT department. Multiple clones must be configured and managed across applications, databases, servers, and storage devices, all the while exposing sensitive customer data to potential leaks. With identity theft a growing concern among consumers, regulators and law makers, a strategic approach to test data management is needed.

With enterprise database archiving for PeopleSoft archiving, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage.

With the help of SQL Server archive, 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.

Improve application performance with archiving

MySQL archive technology is used by some of the world’s largest and fastest-growing organizations to save time and money powering their high-volume Web sites, business-critical systems and commercial software. Enterprise data management is a proven strategy to manage growth in application and custom databases by reallocating data out of production systems into secondary, lower cost storage systems while maintaining seamless data access through the native application or BI layer.

Enterprise customers running Oracle E-Business Suite, JD Edwards, PeopleSoft, Siebel, Baan and custom applications depend on enterprise applications to run their businesses. Coupled with support for custom applications running on Oracle, IBM DB2, IBM Informix, Microsoft SQL, MySQL or other RDMS with JDBC driver support, data masking is the complete solution for all test data management needs.

With Secure Test and Development IT can automate the copying and securing of consumer and retail data security applications eliminating the risk of insider theft of consumer data. Oracle archiving helps organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single policy console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs associated with production and test system maintenance and lower storage and infrastructure requirements and costs.

Organizations can mitigate the impact of data growth by running batch reports during downtimes, purchasing faster hardware or purge data from the application. None of these strategies fully address the reality of application growth coupled with the need for long term data retention. To maintain performance of JD Edwards database applications, while ensuring compliance, organizations must preserve the essential metadata for future executions.

Reduce high cost storage options in production servers

With application archiving, organizations can create and deploy 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 Data Archiving solution is part of the Enterprise Data Management Suite that enables centralized management of data classification and security policies. At the core of the EDMS is the Enterprise Metadata Manager, which manages multiple applications metadata for all data types independent of the hardware platforms through a unified policy manager.

Organizations take pains to secure data in their production systems but often leave critical data wide open in test and development and QA environments. To ensure measured storage growth, long term data retention and security, health data management organizations must ensure data security throughout the corporate environment, from production to test, QA, maintenance, and development.

JD Edwards database has a long history of delivering ERP systems to mid-market companies, capturing, storing and delivering mission critical information. Over time, the load from millions of financial and operational transactions added to the system daily weighs heavily on the application servers, impacting performance and report response rates.

Extend the life of the Baan application

By incorporating database archiving strategies with mission critical business, organizations are able to address and mitigate performance, storage and data management concerns. As one of the original ERPs, there are thousands of customers’ worldwide running baan database modules for manufacturing, financial, project estimating and management and distribution. Over time, the load from millions of transactions added daily to the system weighs heavily on application servers impacting performance and report response rates.

Creating non-production clones of Oracle E-Business Suite for testing, development, or training is a necessary process but using live data increases the risk of data loss. HIPPA and Sarbanes-Oxley in the United States and the European Data Protection Directive are only a few of the privacy regulations that seek to ensure data privacy.

Financial data management centralizes metadata approach enables a services-led engagement for sunsetting applications and migrating data to new systems. In addition, these solutions allow enterprises to deploy tiered storage with enterprise data archiving, and significantly reduce the size of the entire application environment with the secure test and development solution while ensuring sensitive data remains secure.

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.

Securing sensitive data from leaking outside the organization

Enterprise data management Suite’s modular and centralized architecture allows companies to securely manage their archiving processes. There is no need for multiple installations of database tools or application metadata for each server environment. JD Edwards database increases productivity among application users and application administrators.

Data masking is part of the Enterprise Data Management Suite that enables centralized management of data classification and security policies. At the core of the EDMS is the Enterprise Metadata Manager, which manages multiple applications metadata for all data types independent of the hardware platforms through a unified policy manager.

With oracle archiving, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single policy console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs associated with production and test system maintenance and lower storage and infrastructure requirements and costs.

Organizations can mitigate the impact of data growth by running batch reports during downtime, purchasing faster hardware or utilizing the purge functionality. None of these techniques fully address the reality of database growth and the need for long term data retention. To maintain performance of MySQL archive based applications while ensuring compliance, organizations must develop classification strategies for primary and secondary data sets.

Utilize PeopleSoft application logic and validation rules where applicable

Organizations can mitigate the impact of data growth by running batch reports during downtime, purchasing faster hardware or utilizing the purge functionality. None of these strategies fully address the reality of database growth and the need for long term data retention. To maintain performance of SQL server archiving based applications while ensuring compliance, organizations must understand the impact of growing application databases to productivity and resource costs.

Organizations can minimize the impact of large data volumes by upgrading the server and storage environments or deleting data from the system. However, wholesale deletion of data from production does not comply with legal and regulatory requirements for long term data retention. To maintain performance of PeopleSoft archiving applications while ensuring compliance, organizations must Ensure that data referential integrity is maintained.

By implementing retail data security, archiving reduces production retail database sizes improving overall application performance.  Online transaction processing is faster and availability to promise queries are quicker resulting in higher customer satisfaction and higher purchase probability.

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.

Secure data throughout the entire data lifecycle

Information lifecycle management (ILM) is a holistic approach to managing data in Enterprise Applications from creation and storage to its disposal. ILM goes beyond storage, by including facets of managing data at every stage of its lifecycle – creation, protection, migration, securing, archiving and eventual disposal of data and is a comprehensive strategy for profit management, for risk reduction and for maximizing the most from your enterprise-wide information assets.

Data Privacy Pack for Oracle E-Business Suite is part of the Enterprise Data Management Suite that enables centralized management of data classification and security policies. At the core of the Solix EDMS is the Solix Enterprise Metadata Manager, which manages multiple applications metadata for all data types independent of the hardware platforms through a unified policy manager.

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.

With health data management solutions 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.

Reduce IT maintenance associated with large data sets

Data Archiving allows companies to securely manage their application archiving processes. There is no need for multiple installations of database tools or application metadata for each server environment. This helps organizations reduce IT maintenance associated with large data sets.

With Baan database, 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 Database 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.

JD edwards database has a long history of delivering ERP systems to mid-market companies, capturing, storing and delivering mission critical information. Over time, the load from millions of financial and operational transactions added to the system daily weighs heavily on the application servers, impacting performance and report response rates.