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NVivo

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About NVivo

NVivo is a qualitative data analysis software from Lumivero that supports researchers in analyzing complex data sets. It provides tools for coding, visualization, and collaboration so users can gain insights from qualitative and mixed methods research. NVivo allows users to import various data sources, including text, audio, video, and social media, enabling a comprehensive analysis of diverse materials. This software is designed to assist in managing and interpreting unstructured data while facilitating team collaboration on projects. Key capabilities: coding tools data visualization survey analysis team collaboration integration with other software Best for: researchers and analysts that need to conduct in-depth qualitative research.

NVivo Details

Vendor
Lumivero
Year Launched
1984
Location
1331 17th Street Suite 404 Denver, CO 80202
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English
Users
NVivo supports academic, professional and student researchers in education, health, government, not-for-profit & commercial sectors, to discover deeper insights from qualitative & mixed methods data.
Industries Served
Aerospace and Defense, Construction and Engineering, Consumer Goods, Energy and Utilities, Financial Services, Government, Healthcare, Higher Education, Insurance and Reinsurance, Manufacturing, Pharmaceuticals, Research, Transportation & Logistics
Tags
Qualitative research software, NVivo Training and Consultancy, Field Placement Software, Writing and Reference Management Software, XLSTAT, and Risk Management Software

NVivo's In-App Market Place

Does NVivo have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), NZD (NZ$), JPY (¥), CNY (¥), INR (₹), SGD (S$), RUB (₽), BRL (R$), MXN (MXN$).

Pros & Cons

  • 1. Extensive support for a variety of data types, including media and surveys.
  • 2. AI-enhanced features like autocoding for faster analysis.
  • 3. Provides powerful tools for mixed methods research.
  • 4. Facilitates collaboration across research teams.
  • 5. Streamlined integration with other research tools.
  • 1. Steep learning curve for beginners.
  • 2. Requires powerful hardware for large datasets.
  • 3. AI features may not be perfect and may require some manual intervention.
  • 4. Primarily targeted at professional researchers, which may limit its application for casual users.

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