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The difference between successful and unsuccessful projects often lies in just a few details. The hint of an expert can make a huge difference and be the missing link to turn a hopeless situation into a stroll in the park.

With this growing collection of manuals, guides and white papers we hope that you will find valuable and useful suggestions. Our goal is that the daily challenges of ensuring data quality, performing data cleansing and data monitoring activities can be implemented more successfully and efficiently.

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"How-to" No 1: Quality Assurance for Output Management (PDF vs. DB), english, 7 pages, 0.5MB

"How-to" No 1: Quality Assurance for Output Management

This guide (in English, 7 pages) describes how to compare the content of a PDF document with the leading database system (such as Oracle, IBM, etc.).
Database content is usually available in a structured form and can therefore easily be queried. For data in a PDF, the situation is slightly different.
Step-by-step, this document explains how you can establish a stable and low-maintenance automation for the quality assurance of your valuable (customer) output.
This "how-to" guide is available for you to download, just click on the image and save it to the desired location.

In order to dig down deeper into the topic of quality assurance for output management (PDF), also check out these use cases.