Raw Processing Data


Raw data processing refers to the initial stage of data handling in which data is collected, recorded, and prepared for analysis or further use.

In this fast-paced digital age, online market research has become an integral part of any business strategy. To gain a competitive edge and make informed decisions, raw data processing plays a crucial role in extracting valuable insights from vast amounts of information gathered.

At Slice MR, we offer full-service market research and survey panel services. We offer customized solutions tailored to the right audience in order to meet specific requirements for each client. Our expertise in global quantitative data collection solutions can help deliver insights that inform critical business decisions.

Below, you’ll discover the essential steps to streamline your data processing, enhance your research capabilities, and ultimately, boost your business growth. Keep reading to unlock the power of processing raw data in online market research.

How Raw Data Processing Works

One person's hand holding documents for raw data processing with the other hand using a tablet device

If you’re on this page, you may be wondering, “What is raw data? And how exactly does it work?” Also known as source data, atomic data, or primary data, raw data refers to unprocessed and unstructured information collected from various sources, such as surveys, website analytics, or social media platforms. Processing this data type involves converting and transforming it into a more usable and structured format for analysis. Primary data can come from various sources such as data streams, CSV files, or even sample datasets generated using specific tools.

To process source data, a data processing system is used, which can be powered by cloud technology or deployed in a local database environment. The processing workflow involves several steps, starting with the collection of raw data from the source. This data is then preprocessed and prepared for analysis, including tasks such as data cleaning, outlier detection, and aligning the data with proper column names and namespaces.

Once the primary data has been prepared, it undergoes data input into the processing system, where it goes through various data processing steps. These steps can include data aggregation, transformation, and computation. The processed data is then outputted in a usable format, whether it be in the form of visualizations, reports, or structured datasets ready for analysis.

It’s important to ensure the reproducibility of data processing steps and to maintain data integrity throughout the process. Overall, raw data processing plays a crucial role in online market research and other domains, as it allows businesses and researchers to make data-driven decisions based on accurate and meaningful insights extracted from large volumes of source data.

Stages of Processing Raw Data

Interested in the stages of processing raw data? Here it is step by step:

  1. Preparation and preprocessing: This step aims to clean and transform the data into a format that’s suitable for further analysis and interpretation. Techniques such as data validation, outlier detection, and data type conversion are applied to ensure the accuracy and reliability of the data.
  2. Data analysis: Data analysis involves exploring the unprocessed data through various statistical methods, machine learning techniques, and data visualization tools. An important aspect of this stage is understanding the data source and context to draw meaningful conclusions and insights. Multiple data fields, column names, and data points are considered to derive valuable information.
  3. Data transformation: After the analysis, the data is then converted into meaningful outputs, which could be in the form of charts, graphs, or summarized reports. This data output is crucial for businesses to make informed decisions and take appropriate actions. It’s essential to have a robust data processing system in place.

Why Raw Data Needs To Be Processed

Unprocessed data in the form of numbers that is necessary for raw data processing

Data collection and raw data processing are crucial for businesses of all sizes and industries. Data collection allows businesses to gain a deep understanding of their target audience. By analyzing customer demographics, preferences, and purchase history, companies can create personalized marketing strategies that resonate with their customers.

Unprocessed data is like a block of uncut gemstones. It holds immense potential, but in its current state, it’s simply unusable. To extract meaningful insights, atomic data needs to be processed. It goes through the series of steps listed in the previous section that transform it into organized, structured, and interpretable information.

Moreover, processing primary data facilitates visualization and analysis. By removing inconsistencies, errors, duplicates, or outliers, the data becomes more reliable and accurate. Data processing techniques also help in standardizing the format, making it easier to compare and analyze.

Our Data Processing Workflow

We offer a wide range of results from atomic data files in Excel or SPSS to board-ready PowerPoint analysis decks. Our statisticians and raw data processing teams are veterans and understand reporting from a researcher’s lens. Check out some of the ways we use the following tools to process data.

Cross-Tabs or Banners

Using cross-tabs or banners requires a banner or tab plan from clients. In order to guarantee short turnaround times, providing specifications before fieldwork concludes is necessary. To construct crosstabs, we typically use a tool called Quantum. Decipher, R, and Statistical Package of the Social Sciences (SPSS) Statistics are also available. Our team is also familiar with utilizing data weighting and special tables.

Open-End Coding

Open-end coding is a planned and systematic approach to processing raw data into intelligent data. It’s typically used in market research to classify open-ended responses for quantitative analysis. This type of work can begin mid-field to help expedite final delivery. Coding is either folded into banners or delivered as a separate frequency report.

Advanced Statistical Analysis

Advanced statistical analysis is performed by statisticians who work hand in hand with clients. It plays a crucial role in understanding consumer behavior, making informed business decisions, and gaining a competitive edge.

By using techniques such as regression analysis, cluster analysis, and more, we can identify relationships between variables, group similar individuals or products together, discover underlying factors that drive consumer preferences and estimate the impact of different marketing strategies or product features on customer satisfaction or purchase behavior.

TURF analysis, regressions, conjoint, and Maxdiff are popular techniques that we utilize. We also have the option of providing raw statistics or formalizing the data into key findings research reports and presenting them in a Word document or PowerPoint presentation.

Reward Processing

When you choose to sample with our panel, reward processing is built in. When clients commission us to email their database of respondents, Slice MR can process reward incentives. To ensure a smooth and hassle-free process, we take on the responsibility of managing all aspects of the incentive program.

This concludes our workflow journey and what you can expect when you utilize our raw data processing services. We understand all of the challenges that researchers face. That’s why we’ve built a company that centers around workflows that make our clients’ lives easier.

Choosing Slice MR for Raw Data Processing

Marketing professional using raw data processing to create a PowerPoint

When it comes to processing primary data in online market research, Slice MR stands out as the perfect solution. With the use of cutting-edge technology and our team of professionals, you can expect efficient and effective handling of your data. We can provide final data files in coded and decoded Excel files as well as SPSS. Moreover, we can provide dummy data before a project begins for clients to review and prepare for reporting on their end.

Our survey tools are able to export any file extensions, and our programmers are well-versed in various formats. Here’s what you can expect from data processing services:

  • Format data files to make it easier to read
  • Clean up data files
  • Provide clear code book
  • Raw data output in any format

As you can see, we offer a wide range of services for data processing and analysis. Our team has decades of experience in the industry and we aim to ensure the accuracy and reliability of data. More importantly, our unique recruitment approach and robust security protocols are just a few reasons why we provide the world’s best survey participants.

We work closely with our clients to understand and pinpoint the exact target demographic and geographic, allowing us to curate a highly targeted pool of qualified candidates to produce the highest-quality results.

Our clients understand that their research projects are executed with precision and efficiency. We offer customized solutions that are tailored to the right audience while meeting the specific requirements of each client. From the questionnaire design to the data processing, our end-to-end services are designed to simplify the process of sharing data as well as transform it into useful insights.

Process Your Raw Data With Slice MR

Overall, raw data processing plays a crucial role in online market research. It enables businesses to transform vast amounts of unorganized data into valuable insights that drive informed decision-making. By meticulously handling and analyzing primary data, companies gain a competitive advantage by understanding consumer behavior, market trends, and emerging opportunities.

Additionally, data processing helps identify patterns and correlations that might otherwise go unnoticed, allowing businesses to optimize their strategies and tailor their offerings to target audiences more effectively. Finally, adopting efficient data processing techniques is essential for any business seeking to stay ahead in the dynamic and ever-changing online marketplace. Request a service quote today.