Reduce Document Storage
Xenos DSR™, a Document Storage Reduction solution for ECM, dramatically reduces the amount of physical storage consumed by high-volume documents retained within ECM systems by de-duplicating common resources. The solution intelligently separates and stores duplicate print and composition resources from the unique transactional content found within a high volume document batch. A single copy of captured resources is stored alongside the now much smaller transactional documents, resulting in a tremendous reduction in the overall storage footprint. Upon retrieval from the archive, the Xenos solution dynamically reconstitutes the document and combines the transactional content with the required print and composition resource with sub-second response and 100% accuracy. As a Xenos Enterprise Server™ offering, Xenos DSR is uniquely positioned to support IBM® FileNet™ P8 and IBM® Content Manager OnDemand™ ECM solutions and handles AFP, Metacode, and PDF formats.
BENEFITS:
Lowers Total Cost of Ownership
- Significantly reduces the costs associated with the physical storage hardware, backup media, bandwidth, and data centre environments associated with storing high-volume document content.
- Dramatically reduces document storage footprint, in some cases as much as 96%
- Reduces costs associated with compliance and/or online presentment mandates
Increases agility and control for repurposing and presenting enterprise information
- Presentation format control
- Post processing composition
- Content repurposing
- eDelivery performance enhancements
Supports Green IT initiatives
- Enables organizations to reduce the carbon footprint associated with high-volume document storage. The decrease of large storage devices historically required for the storage of these high-volume documents results in reduced power consumption and cooling requirements as well as a reduction of storage and media ending up in landfills.
ECM solutions have traditionally deployed compression algorithms in an attempt to reduce the storage footprint of documents retained within the repository. Historically, the use of compression was sufficient since the majority of content consisted primarily of Green Bar or line data content. Today, however, the results of compression are incapable of dealing with the massive increase in high-volume, graphically-rich, and highly composed, transpromo content being archived.
Enterprises are required to store content for prolonged periods of time for eDiscovery and compliance purposes. As a result, the amount of physical storage required by corporate ECM solutions is growing astronomically; and as the storage grows so do the costs associated with that storage.
High-volume documents are typically customer-facing documents such as credit card statements, cell phone bills, life insurance policies, or Government tax documents. High-volume documents are typically created in very large batches, from tens of thousands to millions, in each run. A high-volume document is made up of two major parts: transactional data, such as name, address, account number, purchase line items, totals etc.; and the composition resources within the document. These include the fonts, forms, logos or graphics. Each document essentially has the identical layout but the data within each document is unique to a specific customer. Within a typical high-volume document the proportional size of the transactional data is usually much smaller than the size of the composition resources. An opportunity exists to reduce the total amount of storage required by large organizations by implementing a resource de-duplication solution for high-volume content within a corporate archive.
Xenos DSR delivers results that are unprecedented compared to current compression solutions. By separating data from resources within a document set, and storing only one copy of the resources for a whole set of documents, the footprint required to store all of the documents is reduced significantly. What remains is a single resource bundle for a set of documents and a number of much smaller-sized unique documents which contain the transactional data elements and pointers to the separately stored resources that have been removed. To reconstitute the document, Xenos pulls together both the transactional data as well as the resources “on-demand” in the format required.

