The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Enterprise Content Management (ECM)
1. Open-source still has a lot more potential. The open-source movement has gained significant momentum in the operating system and database market, as evidenced by the wide acceptance of Linux, Apache, PHP, and MySQL. This momentum has yet to have a significant impact on the open-source Web content management (WCM) and portal market. Although the number of Web content management open-source solutions available is large, the adoption rate remains low when compared to the market size.
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Batch Transaction Capture Software is used primarily to understand and extract data from documents in order to feed back-end database applications or business process analysis. It is designed to replace manual, error-prone, and expensive document sorting and data entry processes with automatic document classification, separation, and data extraction.
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Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
Electronic Records Management (ERM)
There is something very wrong with how organizations manage information of business or legal value. Most ECM or ERM systems are not deployed across an enterprise; they are usually implemented in large and regulated industries to improve the control of information in a specific department or process. Why do so few business executives care about records management? The answer is complex, but here are a few thoughts.
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I recently participated in a NewsGator webinar on the topic of developing a social business strategy. On the webinar, I shared an eight step roadmap for how to get started creating a social strategy quickly, cheaply, and easily. I thought it made sense to share it here too. Enjoy!
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Document capture software is the front-end software that is used to convert unstructured and semi-structured paper or formatted electronic business documents (e.g., various PDF files or faxes), and other unstructured content-centric business documents into an indexed image and then automatically use pattern recognition technologies supplemented by business rules to extract accurate data and add pertinent metadata for use in one or more business processes.
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While capture vendors typically offer an array of outputs to support multiple different ECM image formats, the industry has mostly settled on three standard formats. There are pros and cons to each format. Which one you use depends on the volume, what information is being captured, and how you plan on using that information. 1. TIFF As bandwidths were limited when the imaging and document management industry began, the industry adopted 200 dots-per-inch TIFF Group 4 compressed black and white images as their standard (which created a roughly 75K KB image for a standard page of text). A secondary advantage to the TIFF group 4 format was that it is a loss-less compression standard—i.e., no image data is removed during the compression. Each vendor then added some specific headers, which made their formats unique. Third-party capture vendors, therefore, had to create “formatters” or “release scripts” in order to create an image that would seamlessly import into the document management systems.
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