NVivo vs Panintelligence

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Our analysts compared NVivo vs Panintelligence based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

NVivo Software Tool

Product Basics

NVivo is a qualitative data analysis solution for academic and industrial research. It lets users code and visualize their findings from interviews, surveys, text documents and demographic information. It’s helpful in social sciences, education and healthcare.

It has a friendly interface, powerful searches and advanced graphics. Once set up, the system can perform automatic sentiment analysis. Users can record the coding schemes and use them across the data. Documenting the steps enables future researchers to validate the research.

The vendor offers exclusive modules for collaboration and transcription. Its Collaboration Cloud lets many people work on the same project.

Pros
  • Powerful data management
  • Rich coding and query tools
  • Visualizations and data exploration
  • Team collaboration features
  • Support for various data formats
Cons
  • Steep learning curve
  • Can be expensive for individuals
  • Limited free trial/demo
  • Not ideal for simple projects
  • Occasional bugs and glitches
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Panintelligence is a self-service, easy-to-use solution for company-wide reporting. It can display multiple data sources side by side, and the data shown is always live and up-to-date.

It is easy to implement, cloud-based and offers multi-tenancy, load balancing, data mining and predictive analytics. Dashboards make it easy for anyone to visualize and communicate complex data in real time. It’s embeddable, highly customizable and reporting is streamlined. User activity can be restricted and audited, with role-based security.
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$99/User, Monthly
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Tailored to your specific needs
$250 Monthly
Get a free price quote
Tailored to your specific needs
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Linux
Android
Chromebook
Windows
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Linux
Android
Chromebook
Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

Product Insights

  • Boost ROI: Tap into buyer sentiment by noting their needs and preferences and applying them to product development. Push sales by fine-tuning marketing campaigns.
  • Innovate: Launch new products and improve existing offerings. Go beyond numbers and discover what customers think and feel with thematic and sentiment analysis.
  • Act: Save time while searching for information. Organize data from various sources, such as interviews, surveys and social media, in one system.
  • Improve Services: Build stronger customer associations by serving them better. Identify their pain points and improvement areas by analyzing feedback.
  • Save Money: Free resources for more strategic work by automating tasks like transcription — auto-code interviews with NVivo 14.
  • Test Drive: Try it for 14 days free, including the Collaboration Cloud.
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  • Embeddability: Embed dashboards, charts and reports directly into any application, with real-time updates, improving data insights and access to information without moving data from live transactional systems.  
  • Combine Data: Connect and combine data with prebuilt data connectors from numerous sources, structured or unstructured, large or complex, to get better data insights.  
  • Quick and Easy to Deploy: Reduce development time by integrating seamlessly across different platforms quickly; no coding knowledge required.  
  • Bird's Eye View: Pulls data from multiple disparate data sources to create a centralized repository of data and uses AI analytics to make insights accessible, over the internet or locally, to receive a holistic view of data.  
  • Impressive Visualizations: Visualize data for easier discovery and insights with visually accessible charts and graph formats.  
  • Insights On-the-Go: Dashboards and reports are accessible anywhere, on any device, ensuring access and interaction with data insights on the move. 
  • Insights Into Foresights: Uses existing data to anticipate future trends and scenarios with predictive analytics, allowing businesses to tailor their strategies and budgets.  
  • Removes Technical Barriers: Intuitive and easy to use, even techniques such as data mining and data modeling can be used by the most non-tech-savvy.  
  • Scalability: A scalable pricing module means lower starting rates to minimize risk, adapt and grow with businesses.  
  • Security: Provides role-based access to data, keeping data securely stored at the source and meeting new GDPR and PCI regulations.  
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  • Data Import: Pull data from mobile apps like Evernote and organize it using folders, sets or file classifications. It supports transcripts, articles, audio/video recordings and social media content.
  • Qualitative Analysis: Uncover hidden insights using powerful search tools. It turns interviews, surveys and documents into charts, word clouds and maps.
  • Thematic Analysis: Understand findings after digging deep into gathered data and spot emerging themes.
  • Integrations: Combine research materials in one place. Allows direct imports from Microsoft Office. Plus, it can use data from SurveyMonkey and social media platforms.
  • Sharing and Publishing: Export results, models and charts to various formats, including Excel, Word, text, rich-text and PDF files. Use the system clipboard to copy and paste graphics into reports and presentations.
  • Transcription: Review and edit transcripts, tag speakers, and add notes, then import transcripts directly into NVivo for analysis. NVivo Transcription auto-transcribes uploaded audio files, with support for 28 languages.
  • Multilingual Options: Analyze data in Chinese, Japanese, English, French, German and Portuguese, among other languages.
  • Collaboration Cloud: Work together to co-author research projects. A user uploads a master project to a secure cloud workspace, enabling others to download and work on it offline and then seamlessly merge their edits back into the main project.
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  • Data Connectors: Bring multiple data sources together, either online or on-premises, using a wide range of data connectors such as Sage 200, Sage 50, Xero and Salesforce. 
  • Predictive Analytics: Construct predictive models to predict future outcomes of live data. In-app modeling helps understand characteristics and patterns to automate tasks and decisions based on event predictions.  
  • White Labeling: Every single component of the application can be redesigned to look according to the user’s preferences, starting from design to accessibility. 
  • Dashboards: Spot trends and patterns using customizable, interactive, easy-to-use dashboards to visualize big data in a central location. Easily visualize graphs and reports using a range of drag and drop features. Share easily and securely.  
  • Drill Down: Dig deeper into more specific layers of data to discover and extract deeper insights. Get a granular overview of data with just a click. 
  • Reporting: Create customized, detailed reports by pulling key elements visualized in dashboards. Get real-time insights using automatic scheduling and modify personalized reports for specific recipients.  
  • KPI Monitoring: Monitors KPIs using predetermined triggers or machine learning, identifying key changes and patterns to inform relevant users.  
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Product Ranking

#42

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#404

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 179 reviews
Excellent User Sentiment 42 reviews
82%
of users recommend this product

NVivo has a 'great' User Satisfaction Rating of 82% when considering 179 user reviews from 2 recognized software review sites.

93%
of users recommend this product

Panintelligence has a 'excellent' User Satisfaction Rating of 93% when considering 42 user reviews from 2 recognized software review sites.

4.1 (133)
4.6 (36)
4.1 (46)
4.8 (6)

Awards

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Panintelligence stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Data Management: Organize and store various data types (text, audio, video, images) in one secure location.
Flexible Coding: Employ diverse coding approaches (tree, auto and query) to categorize and analyze data based on research questions.
Relationship Exploration: Uncover connections and hierarchies between codes using visual network maps and relationship coding.
Advanced Querying: Search coded data for specific terms, patterns or code combinations to identify key themes and trends.
Visualizations: Generate various visualizations (word clouds and concept maps) to present complex data findings clearly.
Collaboration: Share and collaborate on projects with other researchers using cloud-based options or file exports (depending on the version).
Support & Resources: Benefit from extensive online resources, tutorials, and user communities for troubleshooting and learning best practices.
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Support: All users who mentioned support say that support teams were very helpful, friendly and knowledgeable.
Customization: It has numerous robust customization options, as reported by all reviewers who specified customization.
Ease of Use: The system is easy to use, with an intuitive UI, according to about 88% of users who talked about user-friendliness.
Visualization: All users who spoke about visualization said that dashboards look clean and fresh and are easy to navigate.
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Steep Learning Curve: New users often report difficulty in mastering NVivo's features quickly, which impacts their productivity and project timelines.
High Cost: Some users find NVivo's pricing to be prohibitive, particularly those from smaller institutions or independent researchers with limited budgets.
Limited Cross-Platform Support: NVivo's limited compatibility with non-Windows operating systems can be a barrier for Mac or Linux users, who may have to seek alternatives or use virtual machines.
Resource Intensiveness: NVivo can be demanding on computer resources, leading to performance issues on less powerful machines, which can frustrate users when handling large data sets.
Occasional Software Bugs: Users occasionally encounter bugs that can disrupt workflow and require waiting for patches or updates, affecting the software’s dependability.
Rigid Licensing Policy: NVivo's licenses can be inflexible, and transferring a license to another computer can be problematic, causing inconvenience to users who need mobility.
Complex Data Importation: Some users find importing data from various sources into NVivo cumbersome, which could lead to a time-consuming setup process.
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Functionality: Approximately 71% of users who referred to functionality mentioned the lack of advanced features available.
Mobile BI: All users who reviewed this feature said that the solution lacks a mobile app and has to be used on browsers, which can be limiting.
Cost: The product has restrictions on budgeting, according to all users who mentioned the cost.
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NVivo is qualitative data analysis software that received positive reviews from users. They appreciate its user-friendly interface, powerful features and ability to handle large datasets.However, some users complained about lax customer support and the occasional bug.NVivo is popular but not as robust as some of the other options. It’s also expensive. However, many users believe that the extra cost is worth it for the additional features and functionality. It has robust coding features to analyze large amounts of data quickly.Overall, NVivo is a user-friendly qualitative data analysis software that can be expensive and complex for individual users but is a handy assistant for teams.

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Panintelligence is an OS-agnostic, flexible solution with AI capabilities. It lets users combine data from a multitude of sources to create visualizations quickly. The solution empowers the user to customize almost every aspect, ranging from dashboards to themes, reports and access. The interface is powerful but easy to understand. Users had very positive feedback about customer support, mentioning that they were very fast to respond to issues. There were mixed reviews on the learning curve. While some said it was easy to introduce beginners, others noted the necessity to understand data concepts to use the tool. The drill down feature in dashboards is robust, helping users thoroughly visualize data. Users also complained about the lack of advanced features such as NLP and collaboration. However, customer support listens to the users’ needs to keep adding rich functionality to their software.

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