Data Science

10 Top Data Collection Tools For Data Science Professionals

Written by Karin Kelley
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Updated on September 10, 2024

Modern businesses and workflows run on data. However, the process of collecting data has seen remarkable changes. Standard tools like spreadsheets fall short when dealing with complex processes and decision-making. As a result, businesses are increasingly turning to sophisticated tools and software with advanced features for data collection.

This article will explore the top data collection tools and their features. We will also discuss the qualities of an exemplary data collection tool and offer tips to help you choose the best one.

If you want to learn how to use data and analysis tools to draw insights, we recommend enrolling in an online data science program (like the one we’ll discuss at the end of the article, so stay tuned!).

What are Data Collection Tools?

Data collection tools are the software and technologies used to gather, organize, and store data. These tools are essential for anyone working with data because they streamline the process of getting accurate and valuable information. They come with features that help you automate data gathering, ensure data quality, and even handle large volumes of data efficiently.

Whether you’re working on a research project, analyzing customer feedback, or tracking website metrics, the right tools can save you time and improve the accuracy of your data.

Why are Data Collection Tools Important?

It is vital to gather accurate and relevant data before applying techniques like data analysis, machine learning, or data visualization. Data collection tools help you efficiently collect, organize, and store data from various sources, ensuring that you have a solid foundation to work from.

Without quality data, the subsequent steps in data science—like identifying trends, building predictive models, or generating insights—wouldn’t be possible. Therefore, mastering data collection is a crucial first step for any aspiring data professional.

Also Read: What is Data Visualization, and What is its Role in Data Science?

List of Top Data Collection Tools

Here’s an overview of the ten best data collection tools with their features and pricing

1. Fulcrum (Web, iOS, Android)

Features:

Advanced geolocation capabilities with Esri integration
Custom map layers support using sources like Mapbox, U.S. Census Bureau, and USGS
Geo-tagging for photos, videos, and audio
Drag-and-drop form builder and pre-made templates
Export data in various formats (Excel, CSV, Shapefile)
PDF report creation and sharing
Zapier integration for automation

Pricing:

The Starter plan costs $15/month and includes 10 GB of storage

2. FastField (Web, iOS, Android)

Features:

Easy-to-use form builder with extensive help and guidance
Unlimited forms
24-hour ticket support and tutorial videos
Zapier integration for automation
Detailed tooltips for every form item

Pricing:

Free 14-day trial
$25/user/month for unlimited forms

3. Jotform (Web, iOS, Android)

Features:

Best-in-class form builder with over 10,000 templates
100+ widgets, including DocuSign and payment options (Stripe, PayPal, Apple Pay)
Web and offline mobile data collection
Zapier integration for automation
Form submissions tracking and customizable notifications

Pricing:

Free for five forms, 100 monthly submissions, and ten payment submissions
$39/month for the Bronze plan includes 25 forms, 1,000 monthly submissions, and 1 GB of storage

Also Read: The Top Data Science Interview Questions for 2024

4. KoboToolbox (Web, Android)

Features:

Open source and free with nearly all features of paid tools
Easy-to-use form builder
Android app and browser-based form-filling
Data summary reports and visualization
API for data export and integration

Pricing:

Free for up to 10,000 submissions and 5 GB storage per month

5. Fluix (Web, iOS, Android)

Features:

Drag-and-drop form builder
No-code workflow builder for automation
Taskstreams for approvals and reworks
Integrations with Salesforce, Asana, and Slack
Zapier integration for complex workflows

Pricing:

From $30/user/month with a minimum of 10 users
Additional features cost between $5 and $50/user/month

6. QuestionPro

Features:

Real-time data analysis
Pre-made templates
Multiple question types and formatting options
Advanced skip logic and piping
Real-time survey insights

Pricing:

Premium pricing starts at $99/month

Also Read: Data Science Bootcamps vs. Traditional Degrees: Which Learning Path to Choose?

7. Magpi

Features:

Mobile forms for field data collection
Real-time online dashboards and reports
Interactive voice response
Offline data entry
Logical branching

Pricing:

The basic plan starts at $250/month
Enterprise pricing starts at $1000/month

8. Zonka Feedback

Features:

Pre-made templates for quick survey creation
Real-time data analysis
Conditional branching
Multiple survey types (NPS, CES, CSAT)
WYSIWYG editor for easy survey design

Pricing:

Professional pricing starts at $99/month with a free trial opportunity

9. Zoho Forms

Features:

Over 30 field types for form creation
Customizable themes and templates
Online and offline form creation
Location-based surveys
Social media sharing of form links

Pricing:

Pricing starts from $14/month
Multiple plans are available

10. Paperform

Features:

Easy development of forms and product pages
Supports over 20 types of data collection (e.g., files, eSignatures)
Automated data formatting
Export data in PDF, CSV, or Word doc formats
Zapier integration
Cloud storage with SSL protection

Pricing:

Essential plan starts at $20/month

Also Read: Career Roundup: Data Scientist vs. Machine Learning Engineer

Qualities of a Good Data Collection Tool

What makes a data collection tool worth your time and money? When choosing a data collection tool, looking for features that make the process smooth and efficient is essential. Here are some key qualities to consider:

Ease of Use

A good data collection tool should be intuitive and straightforward, making it easy for your team to track and gather information accurately. You should spend less time learning how to use it; the interface should be user-friendly and well-designed.

Offline Functionality

Working offline is crucial, especially if you’re collecting data in remote locations where cellular or Wi-Fi connections may be unreliable. A great tool allows you to continue collecting data without interruption and syncing up once you’re back online.

Data Usability

It’s not just about collecting data; a good tool makes it easy to access, use, and analyze the information. It should present data clearly and organized, helping you understand what’s happening at a glance.

Unique Features

Standout tools often have unique features that set them apart from the competition. These could range from advanced location tracking capabilities to highly customizable form builders. Look for a unique tool that aligns with your specific needs.

Affordability

Cost is always a consideration, especially for larger teams. While choosing the cheapest option is tempting, it’s crucial to balance affordability with the quality of features and support. Transparent pricing and good value for money are key factors.

Integration Capabilities

The best data collection tools integrate seamlessly with other software and third-party apps. This makes it easier to use the collected data in different workflows, whether it’s for analysis, reporting, or further processing.

Good User Experience

A well-designed user interface can make a huge difference. The tool should not only be functional but also enjoyable to use. A great user experience minimizes frustration and maximizes productivity, making the data collection process more pleasant for everyone involved.

Benefits of Data Collection Tools

Data collection tools offer a range of advantages that can significantly enhance your ability to analyze data, understand your customers, solve problems, and make strategic decisions. For data professionals, these tools are essential for staying competitive and driving business success.

Enhanced Performance Analysis: These tools help you track and evaluate business metrics, providing insights for better decision-making and improved outcomes.
In-Depth Customer Understanding: They gather detailed customer data, helping you tailor products and marketing strategies to meet audience needs.
Effective Problem-Solving: When things don’t go as planned, data tools identify issues, allowing you to adjust and improve strategies.
Speed and Accuracy: These tools streamline data collection, making it faster and more accurate so that you can focus on analysis and application.
Scalability and Flexibility: Data collection tools grow with your organization’s needs, handling larger datasets and gathering information from multiple sources.
Strategic Insights and Planning: They provide valuable insights that inform business strategies, from market trends to future forecasts.

Also Read: What is A/B Testing in Data Science?

Top Considerations When Choosing a Data Collection Tool

Here are the key factors to consider when selecting a data collection tool:

Type of Data

First, identify the type of information you need to collect. Consider your research niche and the goals of your study. The tool should be capable of capturing the specific data you require, whether it’s quantitative numbers or qualitative insights.

Research Approach

Next, determine the approach you will use to gather data. Decide if you will conduct surveys, interviews, or observational studies. The tool should align with your chosen method, facilitating the collection process effectively.

Data Collection Techniques

Choose the data collection techniques and tools you prefer. These might include online surveys, mobile apps, or paper forms. Ensure the tool supports your selected methods and integrates smoothly with your workflow.

Target Population

Consider where you will collect your data. Define your target population and determine which segments of this group will be included in your study. The tool should help you reach the right people and gather information from them efficiently.

Sample Size

Decide on the number of subjects or data points you want to include in your study. The tool should handle the volume of data you anticipate collecting and support analysis at scale.

Sampling Method

Think about how you will select your sample. Will you use random sampling, stratified sampling, or another method? Ensure the tool accommodates your sampling strategy and helps maintain the integrity of your research.

Integration and Usability

Finally, consider how well the tool integrates with other systems and its ease of use. It should fit seamlessly into your existing processes and be user-friendly for those collecting and analyzing the data.

Want to Deepen Your Knowledge of Data Collection Tools?

Effective data collection tools are crucial for accurate and efficient data gathering. Mastering these tools can significantly enhance your data analysis capabilities and improve decision-making processes, leading to better outcomes in data-driven industries.

If you want to dive deep into the workings and practical uses of data and analysis tools, enrolling in a reputable data science course should be your next step.

This program equips you with essential skills in data science and generative AI. Learn through masterclasses from top instructors, get in-depth training in tools, and work on hands-on projects and real-world applications. After completing this 11-month online program, you will earn a certificate to help you enter the field of data science as a skilled professional.