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Adatrögzítés és adatfeldolgozás: A digitális átállás alapjai

Up-to-date data capture and processing is now essential in the business world. In the digital age, there is a wealth of data available and businesses need to manage this information appropriately for business success and efficiency. With the help of data capture and processing, data is stored in a structured format, easily accessible, which enables efficient management and analysis of data and documents.

The process of recording data is particularly important for businesses as it helps to keep order and transparency in the database. When properly capturing data, it is advisable to establish a set of workflows based on a set of rules that ensure accurate, fast and yet error-free data entry.

And data processing allows data to be analysed and interpreted, which can provide businesses with important information. Using data and digital documents, senior managers can make better-informed decisions.

Data capture and processing are therefore essential for businesses in the digital age. Properly managed data can help make business processes more efficient and effective, and increase the competitiveness of a business.

What is data recording and processing?

Data capture is the process of extracting and storing important information for businesses. Data can be text, numbers or even images. Data can come from primary and secondary data sources. In the case of primary data sources, the data to be recorded contains something new that was not available in any form before. A secondary data source can be a digitisation of an analogue (paper-based) document or data extraction from an already digital document.

Data processing is the process of analysing our stored data for a specific purpose. Data processing can be done either by using statistical tools or by searching and reading a digital document. In the process of data capture and processing, data are systematically collected, stored, analysed and interpreted. This helps businesses to operate more efficiently and achieve better results.

Data capture and processing strategy

Data collection and processing strategy is key to successful data management. The following steps can help you develop an effective strategy:

  1. Set objectives: identify the objectives you want to achieve by collecting and processing data. Think about what information you need and how it can help you achieve your objectives.
  2. Identify data sources: specify where you can get the data from. Data sources can be internal sources such as company databases or external sources such as market research data.
  3. Select data collection methods: select the methods you want to use to collect data. You can choose which data collection methods you want to use. This can be manual data entry, automatic data collection or even using a data processing service such as DWS Digital's services.
  4. Select data processing tools: select the tools you want to use to process and analyse your data. Choose the tools to process and analyse your data. DocIT's OCR module.
  5. Data protection and security: it is important to put in place appropriate data protection and security measures when collecting and processing data. Ensure that data is protected from unauthorised access and cyber security threats.

DWS Digital data capture and processing services

DWS Digital offers data capture and processing services to help businesses make the digital transition. Below are some of our key services:

  1. Data collection. DWS Digital help you extract the data. From manual data entry to automated data collection, our experts can help you identify data sources and select data collection methods.
  2. Data processing:DWS Digital's data processing services allow you to process and analyse your data efficiently. Our experts can also help you with data privacy and security to keep your valuable data safe.
  3. Data centre: the DWS Digital DocIT data centre provides a secure and reliable environment for storing data. The state-of-the-art infrastructure and continuous availability of services help businesses manage their data efficiently.