We Handle a Wide Range of Data Processing Services
Here at DataStar, we are data experts. Across the country, vast amounts of data are generated, collected, and studied in order to serve a wide variety of industries. To the average person, the concept of data processing is pretty easy to explain. People understand what it means to refine data so that relevant and important information can be gleaned. However, when it comes to the specific processes of data processing, the average person is less informed. To remedy this situation, we here at DataStar felt that today’s post would be a good platform to explain exactly what it is that we do during our data processing services. We hope that by the end of this log post you have a better understanding of what data processing is and why it is important. Continue reading below to learn more.
What is Data Processing?
When we refer to data processing here at DataStar, we are referring to several separate processes: data entry, open-end coding, editing, and data cleaning. We implement these processes seamlessly and focus on helping all of our clients from the beginning of the project until the very end. Below, we have summarized these processes, each of which play a critical role in preparing data for tabulation and analysis.
- Data Entry: Our data entry services are designed to provide our clients with 100 percent, key-verified entry to ensure high accuracy. Our data entry services are designed to provide fast turnaround, with flexible, cost-effective alternatives, and our data experts are able to provide outputs in any format that the client may need.
- Open-End Coding: Anyone who has experience with surveys knows that occasionally surveys have questions that are open-ended or free-response. While these surveys can provide valuable data, it is not as easy to gather, decipher, and analyze questions that are not prescribed a set of predetermined answers. Coding of open-ends allows easy tabulation of responses within intuitive categories. This enables us to provide quantitative results for qualitative questions.
- Editing: Some surveys, especially those that use non-standard formatting to gather answers from respondents, need to be edited before they can be properly analyzed. During the editing process, clients’ surveys are assigned unique ID numbers so that an individual survey can be easily identified in the data cleaning process. Stray notes, out-of-range or other non-expected responses can be manually edited to prepare surveys for data entry. Additionally, using either manual or semi-automated processes, we are able to clean open-ended survey responses for profanity, names, or other sensitive terms that our clients may not want in their results.
- Data Cleaning and Sample Balancing: The last step in our data processing service, data cleaning and sample balancing, is designed to provide our clients with results that ensure integrity and hold up to scrutiny. Scrubbing of data to follow skip patterns and other survey logic is often an important part of this process. Weighting and sample balancing may also be employed to provide results that most accurately reflect the desired population.
If you would like to learn more about the services that we provide, or you would like to contact us to handle a data processing project, please contact us today or visit our website. At DataStar, we are confident that we can handle any survey need you may have and we look forward to working with you. Contact us today and let’s get started.