Lifecycle management

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. It's a comprehensive strategy for profit management, for risk reduction and for maximizing your enterprise-wide information assets.

Solix offers enterprise data management solutions for compliance and information lifecycle management.

Database Archiving strategies with mission critical business, organizations are able to address and mitigate performance, storage and data management concerns. Further limitations on database table size make enterprise data management an important data management strategy for BaaN customers.

Solix Application Sunsetting and 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.

Solix Application Sunsetting and Migration Tool utilizes an archive engine of Solix Enterprise Data Management Suite Suite instead of traditional ETL tools. 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.

PeopleSoft archiving enables management solutions for performance, security and information access. This provides a complete solution for all data archiving needs. Solix Enterprise Database Archiving for PeopleSoft, 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.