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09-17-2009 / By: amy
Managing the Digital Document Lifecycle
When considering the conversion to digital documents, most business look at the big picture from a financial perspective, such as how document scanning will save money on storage costs and create more efficiency for employees. However, most companies fail to consider how digital documents fit into their overall marketing strategy and database management. With communications flowing from organizations to recipients happening in greater numbers than ever, one challenge to effective document management is the ability to capture customer data for future marketing initiatives. Using a number of unsynchronized databases can be a challenge when moving from customer relations to mailing, tracking sales, and accounting. The Database of the Future The ideal scenario is to have one database that captures customers throughout all stages of their relationship with your company – from prospect to client and from post-sale to up-sell. It would connect with external partners and feed market intelligence back into the system at the customer level. By structuring a document management system in such a way, companies can realize greater effectiveness in their targeted marketing efforts and achieve more meaningful relationships with customers. Managing the digital document lifecycle requires an understanding of enterprise content management (ECM), as well as archiving and storage. Using the right document scanning company with the resources to implement a strategic storage system for live documents allows companies to harness documents and make them work for us, instead of against us. Organizing all of this information, and keeping it secure, is at the heart of successful content management. Business documents are a vital part of your company’s strategic, financial, intellectual and operational assets, and managing them effectively across vertical processes is essential. When searching for a document imaging service, consider how your digital assets will integrate with your existing databases, with the goal of optimal flexibility.
 

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