Power of Big Data: How Voxco Can Help Collect and Analyze Data

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In today’s digital era, the surge of data has pushed research methods to revolutionize. In market research, the concept of big data indicates the vast volume of structured and unstructured data generated by consumers. This data serves as a source to gain valuable insights and make data-driven decisions for organizations. However, harnessing the power of big data in terms of collecting and analyzing data presents a significant challenge for the researcher. 

In this blog, we’ll explore how you can unlock the power of big data analytics. 

What is big data analytics?

Big data analytics is the approach of evaluating and extracting meaningful insights from large and complex datasets. The process involves using various statistical and qualitative data analysis methods to identify trends, patterns, and other meaningful information. 

Survey software plays a crucial role in processing a large volume of big data efficiently and effectively. It integrates the work of different software by collecting, organizing, and analyzing heaps of data in one platform. 

What is the importance of big data analytics in research?

In market research, data is a game-changer that allows decision-makers to extract valuable insights, identify patterns, and make confident conclusions. You can leverage big data to explore hidden factors, uncover trends, and validate hypotheses across various industries, such as marketing, healthcare, retail, social sciences, finances, and more. 

The significance of big data analytics lies in its potential to enhance the quality of your research and lead to advancements in knowledge and innovations. 

Read how Voxco helped HRI to conduct complex research studies & speed up insight generation. 

Challenges researchers face in collecting and analyzing data

Researchers often encounter several challenges when it comes to gathering information and analyzing reliable and accurate data. Traditional research methods and tools are ill-equipped to operate massive data, which can lead to inefficiencies and missed opportunities to discover valuable insights. 

We have explored five such challenges that researchers face:

  • Data collection complexity.
  • Quality assurance. 
  • Management. 
  • Analysis. 
  • Ethical consideration. 

1. Data collection complexity:

Gathering data from multiple channels can be complex and time-consuming, especially for large-scale research. You need efficient survey software that enables you to streamline data collection across multiple modes and integrate the data to ensure a comprehensive view. 

2. Quality assurance:  

When collecting vast amounts of structured and unstructured data, ensuring accuracy, reliability, and completeness can be challenging. Leverage a data analysis tool that offers validation technique to remove noise and inconsistencies and maintains data integrity. 

3. Management:

Storing and managing large volumes of data requires scalable technology. Moreover, the software should also unify the data from various sources and removes inconsistencies to provide a holistic understanding of the research. Researchers often have to utilize multiple software to gather, analyze, and store data which is inefficient and costly. 

4. Analysis and interpretation:

Analyzing quantitative and qualitative data requires advanced data analysis tools. You need tools that can offer statistical analysis, textual analysis, and data visualization to derive meaningful insights. 

5. Ethical consideration:

When working with big data, concerns about privacy and ethical implication raises challenges for researchers. 

In light of these challenges, you need a flexible and powerful solution that can streamline the process of collecting and analyzing data. With Voxco, researchers can overcome the complexities and concerns associated with big data and facilitate informed decision-making. 

Unlock the true potential of your survey data.

Explore how easy it is to conduct sophisticated statistical analysis and create one-click summaries, custom live dashboards, and in-depth reports with Voxco Analytics.

How can Voxco help unlock the power of big data?

With a comprehensive suite of tools, Voxco empowers you to streamline the data collection methods, ensure data quality, and extract meaningful insights efficiently. Let’s look at how the platform can help you use data to its full potential. 

Streamline data collection:

Researchers often face the challenge of managing surveys while also ensuring data quality. It is a time-consuming process and can lead to errors in results. Voxco’s powerful survey software helps address these challenges and streamline the data collection process. 

  • Leverage multi-channel approach:

Voxco offers multiple channels to empower researchers in their data collection. Online surveys, phone surveys, and offline surveys allow you to reach respondents through various mediums, thus making surveys accessible to all and increasing response rates. 

Moreover, the omnichannel platform ensures that the data collected from all channels are integrated, creating a single source of truth. 

  • Using validation tools to ensure data quality:

Skip logic, branching, and intelligent routing ensures that participants only see questions relevant to them. It improves survey experiences, reduces fatigue, and enhances response accuracy. 

You can also implement validation rules, such as screening questions, or validation criteria for each question, such as required fields, numerical ranges, etc. This enables you to flag irrelevant automatically participants and errors during data entry. As a result, you can promptly resolve data issues.

  • Real-time monitoring of survey progress: 

With the real-time dashboard, you gain access to an overview of survey progress, completion time, and response rates. This allows you to take immediate action in case of anomalies. 

Looking for robust, agile, and powerful survey software?

Download our guide to see what features your platform must have.

Increase data analysis efficiency:

It isn’t enough to simply gather large amounts of data. Assessing the data and making sense of it is paramount to draw an actionable and confident conclusion. However, without an advanced and scalable solution, researchers often end up with poor-quality insights.

Voxco’s platform doesn’t only allow you to create your own surveys but also to collect and analyze data effectively. It offers a comprehensive set of data analysis tools to uncover hidden insights. 

  • Using data preparation to reduce errors before analysis:

Data preparation is a stage in data analysis that researchers often overlook. However, this step ensures that your data is in the right format for analysis. The tool converts the raw data into a suitable format and removes any miscellaneous data. 

  • Leveraging a seamless analysis platform:

The data analysis platform enables you to perform quantitative or statical analysis and also conduct textual and sentiment analysis. The platform also offers an NPS dashboard to analyze both the rating scale question and the open-ended question. 

By implementing the solution with powerful analysis capabilities, you can leverage its strengths and enable extensive data analysis

  • Utilizing data visualization to present meaningful insights:

The best and simplest way to showcase complex data in a concise and intuitive manner is by using the data visualization capability. The tool helps you to display patterns, trends, and outliers that are not apparent in raw data. 

Additional read: Data-Driven, Data Informed, Or Data Inspired?

How to collect and analyze data: Best practices

Now that we have explored how Voxco can enhance the efficiency of your research method let’s explore some best practices. 

  1. Effective survey design:
  • Start by clearly defining the research goal to design a survey that collects data aligned with your objective. 
  • Keep your survey short and use clear and concise language for questions. 
  • Leverage various question types to gather different types of data and make the survey engaging. 
  • Implement skip logic and branching to adapt the survey based on the respondent’s answers. This ensures a personalized and relevant survey experience. 
  1. Maximize data insights:
  • Use statistical analysis methods to uncover patterns and trends that can reveal deeper insights into your data. 
  • Leverage data analysis tools to perform complex analyses and reduce errors and miscalculations. 
  • Utilize data visualization to present data in an easily understandable format and enhance data comprehension. This will also help in effective communication. 
  1. Ensure data security:
  • Implement role-based access to the data in order to restrict access and protect sensitive data. 
  • Familiarize yourself with data protection regulations like GDPR and CCPA. 
  •  Leverage anonymous surveys to ensure data confidentiality when gathering sensitive information from the audience. 
  • Utilize a platform that helps safeguard your data against system failures and data loss and ensures the availability of data for research. 

Voxco helps 500+ global brands to gather, measure, uncover, and act on valuable insights.

See how we can enhance your research efficiency.

Conclusion

Researchers today face a significant challenge when it comes to how to collect and analyze data. Technological advancement has led to an explosion of data which has made it challenging for researchers to analyze the abundant data. 

Voxco, an agile and cutting-off-edge survey software, enables you to overcome these challenges and unlock the true potential of big data. 



FAQs

How do you collect and analyze data in research?

Here is a general outline of how to collect and analyze data in research: 

  • Define the objective or main research question you intend to study. 
  • Design the research study by determining the proper method and channels of data collection. 
  • Gather data across multiple channels. 
  • Clean and organize the collected data to ensure it is complete and formatted correctly without any inconsistencies. 
  • Analyze the data with appropriate statistical or qualitative analysis methods. 
  • Interpret the result to identify relationships and uncover insights.
  • Communicate the results in clear language using visualization tools such as graphs, charts, and tables.  

What are some of the challenges you face during data analysis?

Some common challenges you may have to face during big data analytics are: 

  • Data quality and integrity. 
  • Missing or incomplete data and inconsistencies. 
  • Selecting appropriate data analysis method. 
  • Complying with Data privacy and ethics.

What are the top 3 challenges in an enterprise-level data and analytics discovery process? 

For enterprise-level companies, some challenges in the data analysis process may be:

  • Data governance: Managing large volumes of data and ensuring consistency and reliability can cause complications. 
  • Scalability: Organizing and analyzing massive amounts of data require a scalable solution that can efficiently analyze data. 
  • Data security and compliance: Complying with relevant regulations to protect sensitive information is a big concern for enterprise-level companies. 

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