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Data integrity

EyeC is your specialist for artwork and print inspection systems so that you can find artwork and print errors in time. Data integrity plays an important role in this process. It guarantees the consistency and accuracy over the entire data life cycle. Data integrity is a crucial part of designing, implementing and using different data systems. Data integrity techniques make sure that the recording of data goes exactly as intended. When it comes to data retrieval, data integrity ensures that the data is the same as at the time of the original recording. This way, unintentional changes to information are prevented.

These avoidable changes in the data can lead to failures and errors of different magnitudes. For example, it might lead to one pixel in an image being off.

Data integrity is a continuous process of error checking and validation routines that is implemented into the database at the design stage by using standard rules and procedures.

Data integrity
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Data integrity software in printing

At EyeC we offer you a wide range of data inspection software that checks the data integrity of your artwork and other print data. Data integrity of print products such as the artwork and pre-press inspection ensures that your artwork files are error-free. This way, product recall can be avoided. The content of the artwork file is checked at each production stage which avoids reprinting and lowers the cost of production. The different EyeC softwares detect errors at the pre-press stage and get all your files ready fast for the different industries such as Pharma and Healthcare, FMCG, Luxury and many more sectors. This way, the data integrity of a wide array of products such as leaflets, labels or all types of flexible packaging can be checked. Without a data integrity process, you will on average face higher operational costs and revenue losses.

EyeC Software to guarantee data integrity

Our software complies with data integrity and security requirements. The EyeC systems check the entire content of PDF files and printed materials. In addition to text, other aspects such as braille, 1D- and 2D-codes as well as colors are tested. The quality and conformity of texts and graphics are checked in detail. The EyeC software can easily be integrated into existing processes. We offer you an inspection system, secure databases, a review station and an audit trail reviewer. In the pharma industry, reviewing and auditing texts, braille and codes is crucial, as errors can occur during any step of the way. This is counteracted by printing control solutions to create artwork and pre-press data both during the printing process and during the final quality control. This way, all printed products comply with data integrity and data security and are FDA-compliant.

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What aspects of the printing sample are checked during artwork inspection?

Artwork inspection saves time and money because it identifies errors in just one step in the early stages of the printing process.

The following elements of the graphic design are checked during the artwork check:

  • Font
    Are the text elements legible? Sophisticated checking systems check expression and spelling errors in both German and foreign languages.
  • Graphics
    The artwork check ensures that the graphic elements are in the right place or do not cover each other.
  • Colours
    Part of the artwork check is the color check. Do the colors match the artwork?
  • Barcodes
    1D and 2D code checks prevent barcodes from being unreadable due to dark backgrounds or printing errors.
  • Braille
    The depth and correctness of Braille embossing can be visually checked during artwork inspection. Flawless printing must be guaranteed, especially for packaging materials in the pharmaceutical industry.
  • Punch contour and cut marks.
    The position of contours and embossing can also be checked optically in the artwork inspection.
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Which factors can affect data integrity?
There are several weak spots at which data integrity might potentially become compromised. One aspect are human errors when entering and managing data. If you fail to follow the correct protocol, this can lead to corruption of the final product. Our software detects these possible errors in the pre-press stage. Within a database, errors can occur when transferring data from one site to another. Another possibility are viruses that can also compromise the integrity of the data.
Why is data integrity important?
Maintaining data integrity is one of the crucial aspects of a company’s security solution as compromised data is of no use and thus must be prevented. There are two types of data integrity, as a process and as a state. Data integrity as a state describes a data set that is valid and accurate. As a process, it encompasses all the measures that are needed to ensure the validity and accuracy of the data such as error checking and validation processes. With the help of data integrity, it can be guaranteed that all data can be accessed at all points in time. Furthermore, it ensures that the data stored in your database can be found and linked to other data.
What is the difference between data integrity and data security?
Data integrity and data security are connected, and their success depends on each other. Data security refers to the protection of data against unauthorized access or corruption and is the first step in achieving data integrity. Data integrity means that your data is valid and accurate. Only then, efficient business processes and decision making can be guaranteed. Data quality is linked to these two concepts, as it ensures your stored data complies with company rules. This way, rules are applied at a dataset which is than stored in a target database.
What is the difference between data integrity and data consistency?
Computers can only produce correct information if the entered data has integrity. This also applies for your printing data. In this context the concept of “garbage in, garbage out” (GIGO) is relevant: This means that accurate output can only come from accurate input. If, however, you enter incorrect data (garbage in), the computer can only produce incorrect data (garbage out). Data consistency is used to describe the usability of data in a single site environment. This means that the data values are equal for all instances of the application.
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Ashley Madden

EyeC America

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