In the automated processing of data, the use of customized software provides you with far-reaching advantages. Above all, programs based on artificial intelligence (AI) promise an increase in efficiency and greater precision - from the collection of data to its use.
As specialists for AI software in search engine optimization (SEO), we at Specht.ai give you a compact overview of automated data processing and its benefits for companies in this article.
Definition: What is automated data processing?
Automated data processing is the collection and use of data that is not initiated and carried out by humans.
In order to automate the processing of data, digital devices and automation software are required. Examples of digital devices for automated data processing are PCs, laptops, tablets and smartphones.
In addition to these frequently used devices, suitable devices include cameras and scanners, provided they offer the option of installing and using automation software.
AI programs can be suitable software for automating processes. However, other software that automatically repeats certain processes according to fixed algorithms and without human instruction can also be used for simple, repetitive processes in automated data processing.
Which data types can be used for automated data processing?
In principle, the use of all types of digital data is conceivable. For example, data on user behavior can be collected automatically for search engine optimization purposes. The evaluation of such data would provide information on optimization potential for improving search engine rankings and for the targeted satisfaction of user intentions.
With the right software that automatically collects and processes data, all digital data can be used in the context of automated data processing.
In addition, documents signed by hand can become part of automatic data processing systems as soon as they have been scanned or photographed, for example.
- The scanned file is uploaded to the file system. Scanning and uploading are still human and not automated processes.
- Automation could take effect as soon as the file is uploaded to the system. Depending on the assignment, the now digital file could, for example, be sent completely automatically within the system to a responsible case handler.
- Alternatively, the file could be read out automatically by the system, as is the case with AI software for evaluating statistics, for example. The results of the evaluation would be generated automatically and sent to the case handlers.
Diverse added value through the use of automated data processing systems
Companies gain several advantages through automated data processing systems. In today's age of digitalization with constantly growing competition in all industries, speed in the collection and use of data is more important than ever.
Automated data processing enables companies to increase the efficiency of selected processes. For example, you as the managing director decide which data should be processed in an automated procedure and to what extent.
You can also specify when automation should start. Should it start when data is collected or only at a certain stage of the processing procedure?
All in all, automated processing offers companies the following advantages in particular:
- Saving time and increasing efficiency
- Elimination of human errors and replacement by error-free AI-controlled processes
- More precise analysis of the collected data sets
- Greater flexibility and scalability through AI instead of relying solely on human resources that are difficult to scale
- Cost savings through the use of AI instead of large numbers of staff
Data protection: regulations and requirements
The General Data Protection Regulation (GDPR) and the Federal Data Protection Act (BDSG) define exactly what is meant by processing. By legal definition, it is a process that is carried out with or without automated procedures.
The collection, storage, modification, transmission and reading of data are equally classified as processing.
Both laws not only provide a definition of data processing, but also regulations and requirements that companies, for example, must comply with to protect the privacy of individuals.
If you have personal data processed in your company, you must ensure that, among other things, the requirements of the fifth article of the General Data Protection Regulation are met. These are as follows:
- Lawfulness, transparency and purpose limitation in the collection and use of data
- Correctness and up-to-dateness of personal data
- Storage and processing of data only for the necessary period of time
- Security and integrity of data
These and other provisions set out in Article 5 of the GDPR also apply to the automated processing of data using AI software. In the context of digitalization and innovation management, companies therefore seek advice from AI experts like us.
This allows companies to take advantage of customized automated data processing without coming into conflict with the GDPR and other legal requirements.
