NVivo vs Dundas BI

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Our analysts compared NVivo vs Dundas BI 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
Dundas BI 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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Dundas BI is a self-service analytics solution with a keen focus on embeddability. With an eye on the end-user experience, the vendor provides options to design and embed dashboards into applications. Ranked five on our leaderboard, Dundas BI is a user favorite. The platform supports standard file formats and connects to cloud storage and enterprise systems.

Report templates and interactive visualizations make data accessible to all users. Some available graphics include bar and line graphs, scattergrams, pie charts, scorecards and maps. The system also suggests visualizations that fit the analyzed data.

Besides a long list of connectors, the platform has built-in ETL. You can switch from a data warehouse to live sources with the click of a button and write back to the warehouse from the interface.

The vendor, insightsoftware, offers it under the Logi Symphony umbrella, but Dundas BI remains a distinct product, and support is available. It supports multi-tenancy, and you can manage multiple clients with assured data security.

Roles include developers, power users and report consumers. The vendor provides shared concurrent licenses to keep pricing within reach. Unlimited data refreshes at no extra cost make it an attractive option.

Reviews praise its visual capabilities and ease of use, though most users say there’s a steep learning curve and performance can lag sometimes. Pricing starts from $2,500 monthly.

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$99/User, Monthly
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$2,500 Monthly, Quote-based
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Tailored to your specific needs
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Product Assistance

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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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  • Gain Insight: Dundas BI wins our top honors for advanced analytics with a score of 92. You can write Python scripts within the platform and build clusters for customer segmentation. Forecast trends using regression and extract sentiment from buyer reviews.
  • Visualize Data: Dundas BI excels at dashboarding and visualization, earning our top award and a score of 100 in our JumpStart App. Its polished visuals embed perfectly into websites, apps and mobile devices. The vendor provides a lot of control over data displays. You can remove overwhelming menus and place navigation and selection options on dashboards. Animate icons to show data changes or display dashboards on a large screen in your office — the vendor has thought of it all. Though it can't compare with Qlik's associative power, Dundas BI remains an outstanding choice for professional dashboards.
  • Build Reports: Create paginated and pixel-perfect reports or design scorecards — the vendor offers many options to present data. Paginated reports have fixed page layouts for printed output, while pixel-perfect reports focus on precise design for a polished look. Version control lets you go back to the previous report and avoids the need to create local copies. The vendor’s focus on reporting UX and customization earns Dundas BI a top score of 100 in our rankings.
  • Manage Data: Define how datasets relate and apply joins during ETL. Explore new datasets without building a data model or generate data models with one click. Profile, correct and enrich data with simple selections. Analyze data from OLAP sources, such as Microsoft SSAS, Azure Analysis Services and Microsoft PowerPivot. Our analysts give it a 100 score for data management.
  • Embed Insight: Apply transformations, design dashboards and mashups, and analyze reports where you work. Embed the entire application or a screen into your business systems. Dundas BI is API-enabled and embeds without iframes. The vendor provides server and client APIs, SSO and authentication methods. It scores 100 in our rankings along with Power BI. But Power BI Embedded is priced separately from Premium and doesn't have the same customization levels.
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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 Visualization Sandbox: Create and test data visualizations before using them in dashboards. Experiment with different chart types, color schemes and data combinations without risk. It's an excellent learning tool for teams that want to start using data for decisions.
  • Pattern Identification: The Identify Clusters button is a tool within Dundas BI that examines your dataset. It helps you find patterns in your data by clicking a button rather than manually sorting it. The tool puts similar data into groups that can help spot trends or unusual patterns.
  • Small Multiples: They allow you to compare values on the same scale and axes but in separate charts and graphs. One example is comparing the prices of hotels on an aggregator site.
  • Mobile Insight: Collaborate with your teams through an HTML5 browser, whatever the device. Leave comments and annotations for colleagues on visualizations and share them as a PDF or link. Double-tap to zoom into views, and pinch in and out to see maps and charts.
  • Content Scheduling: Share content by setting a schedule or trigger. Dundas BI offers scheduled sharing via the notifications option. Select the content type from among Excel, CSV, PDF, PowerPoint and PNG formats. Choose from email or file delivery. More distribution methods are available if you install Dundas BI extensions.
  • Administrator Privileges: Create, edit and delete projects and configure security settings. Share projects among tenants and assign or revoke permissions as required. Set up and manage user accounts and view login history. Monitor system and warehouse performance and keep tabs on memory storage with application logs.
  • DundasScript: Do more with your data. Write custom formulas and expressions that aren’t possible with standard connectors or visualization tools. Apply conditional formatting and define how users should interact with visual elements, such as setting up drill downs and tooltips.
  • Contextual Views: View only the information that matters to your role. Dundas BI has a data connector override function that switches to a different data source or schema based on who’s viewing the content.
  • Architecture: Dundas BI has JavaScript, HTML and CSS on the back end with a patented in-memory engine. It’s a C#, Asp.NET application hosted on Microsoft IIS for Windows, systemd for Linux or a Docker or Kubernetes container. The platform is available in hosted and managed versions. Supported databases include Microsoft SQL or PostgreSQL. All screens, including dashboards and report designers, are built on a public API with JavaScript or a REST interface. It makes it easy to customize and embed. Tiers include the user, application and data layers. End users get a smooth user experience with drag-and-drop and select actions. It's open to plugins for adding new functions, formulas, controls, and security and tenant and export providers.
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Product Ranking

#42

among all
Business Intelligence Tools

#21

among all
Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 179 reviews
Great User Sentiment 467 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.

89%
of users recommend this product

Dundas BI has a 'great' User Satisfaction Rating of 89% when considering 467 user reviews from 5 recognized software review sites.

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4.2 (14)
4.1 (133)
4.4 (137)
4.1 (46)
4.5 (122)
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4.5 (118)
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4.4 (76)

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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Cost: Around 88% of reviewers mentioning pricing said the platform offered value for money.
Data Analysis and Visualization: Around 86% of users reviewing dashboards said they helped in decision-making.
Service and Support: Almost 83% of users praised support services for being prompt and said they got the help they needed.
Functionality: Around 75% of users praised the solution's rich feature set for helping them accomplish their tasks.
Ease of Use: Around 72% of users citing user friendliness said they could use it without much difficulty.
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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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Training: Around 86% of users citing learning said there was a steep learning curve and documentation was inadequate.
Speed: Around 75% of users who reviewed performance said it lagged when handling large data volumes.
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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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Dundas BI is a web application that stands out for placing the buyer first with built-in ETL, shared licenses and unlimited refreshes. It surpasses market leaders like Power BI and Qlik Sense in native functionality. It’s feature-rich, with 77% of capabilities available out of the box.About 72% of users reviewing the interface praised the platform, whereas others felt it was confusing. An open API architecture might be one reason for the UI's clutter, but the vendor offers a way out. You can make onboarding easier by removing components that seem complex.Usually, reporting is a loose term for dashboards and static reports and not much else. However, the vendor packs these tools into a neat package at no extra cost. Dashboards are usually static, single-screen views, but Dundas allows embedding reports in them to complement your KPIs. The support team is responsive with clear SOPs and quick responses, and the documentation is detailed.On the downside, many users felt it slowed when handling heavy workloads. Performance is critical in business, but every data tool has accompanying tradeoffs, and sadly, it’s often speed. That said, keep in mind that many factors are at play here — the hardware, internet speed, data complexity and database efficiency. Consider them for your use cases when evaluating performance, as they significantly impact how a program responds to user interactions.Ultimately, it boils down to this — how much lag can you accept before it impacts your business? A proof-of-concept or, even better, a trial would be your best bet to assess how the platform fares.Due to its rich scripting options, the learning curve can be steep. Users felt the feature documentation should cover more information on Javascript and APIs. Most reviewers were satisfied with the pricing, saying it offers value for money.In summary, Dundas BI is a powerful tool if you need a high degree of customization, scalability and flexibility. It can handle complex data environments and supports many users concurrently. It would be a good fit for mid to large-sized enterprises as they have diverse data needs and are open to investing in training.Organizations with simple data requirements may find the tool a bit over the top and the cost excessive. In such a case, opting for a tool with basic functionality might be a good start. One non-negotiable would be frequent, stable updates. It'll ensure the tool grows with your business over time.

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