• Transform Data
• Transform Documents
  • Transform Documents for IDARS/ERM/ECM
  • Transform Documents for Production Printing
  • Integrating into Content Management Systems
• Present Documents
• 1:1 Customer Correspondence
• Migrate Document Archives
• Content Enabled Vertical Applications (CEVAs)
• Green IT Reduce Reuse Recycle

Document Resource Optimization

“By 2011, the digital universe will be 10X as big as it was in 2006. There are currently 281 billion exabytes of information in the digital universe. Growing even faster than the digital universe as a whole is the subset created and replicated by organizations. In 2006, about 25% of the bits in the digital universe were created or replicated in the workplace; by 2010 that proportion will rise closer to 30%.”
—IDC White Paper 2008: The Diverse and Exploding Digital Universe

Xenos Document Resource Optimization solutions reduce the overall storage footprint associated with the ever-expanding growth of internal operational reports and external customer-facing documents.

Xenos ES enables organizations to control the hard capital costs of storing and securing this content.

Xenos ES enables organizations to meet online self-service performance targets for the electronic presentment of customer-facing documents in response to internal network utilization growth due to increased file sizes driven by business requirements for graphically-rich, personalized documents.

Storage costs money and the amount of digital content growth in organizations is skyrocketing as the latest numbers from IDC illustrate. This presents three critical business challenges impacting total cost of ownership:

1. How to reduce the overall storage footprint associated with the ever-expanding growth of internal operational reports and external customer-facing documents?
2. How to control the hard capital costs of storing and securing this content?
3. How to meet online self-service performance targets for the electronic presentment of customer-facing documents, as internal network utilization grows due to increased file sizes driven by business requirements for graphically-rich, personalized documents.

The Business Challenge

A significant amount of the digital information stored within organizations is retained in corporate archives or repositories known as Enterprise Report Management (ERM) or more recently, Electronic Content Management (ECM) systems. ECM solutions have evolved from the COLD and IDARS solutions of the past. Contemporary ECM solutions store and classify a variety of content including Microsoft Workstation documents and scanned images.

But the oldest, largest, and continually growing area of use in these modern archives is the storage of High Volume Document Output (HVDO). HVDO includes internal operational reports and customer-facing documents such as statements, policies, bills, and correspondence traditionally designed for physical print and fulfilment.

Older line data reports were made up of mainly text and spaces and were typically quite small in size, with the content being graphically poor by today’s standards. In order to reduce the storage footprint of these documents, ECM solutions adopted compression technology to reduce the overall storage footprint, which worked well for that type of document.

However, with the current proliferation of 1-to-1 marketing and the advent of composition concepts such as transpromo and white space marketing, the graphically rich nature of customer-facing documents, combined with the introduction of PDF as a high volume output format, has resulted in the size of individual documents increasing immensely.

The Solution – Xenos Document Resource Optimization

Xenos has created an advanced solution that dramatically addresses the overall storage size associated with high-volume printed document output.

High-volume print documents are a combination of corporate application data and the resources that surround the data for print control, formatting, and aesthetics. Resources include such things as fonts, images, overlays, page definitions and sometimes embedded print instructions, and comments. High-volume printed documents are usually produced in tens of thousands per batch. The data for each statement changes, but the resources are all the same.

Resource optimization is achieved by applying “deduplication” techniques involving the identification, removal and management of duplicate objects across a given set. Embedding links or pointers to common resource objects within a document rather than embedding the actual resource itself, leads to a dramatic decrease in the individual document size that has to be stored.

Over time individual document resources may change. The solution must manage the various versions of resources that are used. By extracting and managing common resources within a document set and versioning the resources over time tremendous savings can be gained.

In order to view the document, Xenos provides the ability to merge the stored data and versioned resources together when the document is called by the consumer; this is known as dynamic retrieval with transformation on-the-fly. With the industry-leading Xenos d2e software, the process of merging the data and resources together takes mere milliseconds

Reducing document sizes addresses both the storage footprint and network performance issues associated with the proliferation of high volume document output.

Summary

Xenos’ solution performs the following value-added functions:

1. Deduplicates common resources
2. Version controls these resources
3. Caches the resources on or near the corporate web presence to reduce network traffic
4. Provides high performance transformation on the fly to present these documents, with perfect fidelity, on demand.

Results

Xenos’ Document Resource Optimization Solution has produced astounding savings of up to 90% in overall storage footprint and epresentment performance when applied to high volume document output.

For more details on this Xenos solution and to see an ROI calculator to calculate your own savings, read our Document Resource Optimization data sheet.