Average Ratings 12 Ratings
Average Ratings 0 Ratings
Description
Key Features:
1. Coding: COSTAQDA provides a robust coding platform that allows researchers to categorize and tag qualitative data efficiently. It supports various coding methods, including descriptive, narrative, in vivo, and emotion coding, making it adaptable to a wide range of research methodologies.
2. Ordering/Organizing: The software enables users to structure their coded data systematically. Researchers can organize codes into hierarchies, categories, or themes, which is crucial for understanding complex relationships within the data and preparing it for deeper analysis.
3. Theme Discovery: COSTAQDA includes advanced tools for identifying and extracting themes from coded data. This thematic analysis capability helps researchers uncover patterns and insights that are essential for drawing meaningful conclusions from qualitative studies.
4. Testing Analysis: COSTAQDA supports the validation of research findings through its Testing Analysis feature. It includes an Inter-Coder Reliability test using Cohen's Kappa, which ensures consistency and reduces bias in coding, particularly in collaborative research projects.
Description
Achieve flawless data capture through an automated platform that guarantees 100% accuracy with just two lines of code. DocDigitizer presents unprecedented advantages for partners including Integrators, RPAs, ERPs, KYC/AML, and various Digital Transformation initiatives. There’s no need for any upfront setup, infrastructure, licensing fees, or complicated implementations. With a flexible payment model based on documents processed, you can start on a small scale without minimum requirements and easily adjust your usage as needed. Beyond mere OCR and data capture, DocDigitizer not only extracts data but also validates it, ensuring reliability. This innovative solution harnesses cognitive data capture for any readable content, offering a seamless plug-and-play experience with guaranteed accuracy. By merging our unique cognitive data capture technology with a well-crafted human-in-the-loop procedure, we provide the quickness and scalability of machine automation while retaining the quality that only human oversight can offer. Our solution stands out in terms of both precision and cost-effectiveness, outshining conventional OCR systems that struggle to deliver the same level of performance. Ultimately, DocDigitizer redefines data capture by integrating advanced technology with human expertise, setting a new standard in the industry.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Adobe Acrobat
No
BizAPIs
No
GitHub
Yes
Infosistema DMM
No
Microsoft Dynamics 365 Business Central
No
Odoo
No
SAP ERP
No
UiPath
No
Zapier
No
Integrations
Adobe Acrobat
Yes
BizAPIs
Yes
GitHub
No
Infosistema DMM
Yes
Microsoft Dynamics 365 Business Central
Yes
Odoo
Yes
SAP ERP
Yes
UiPath
Yes
Zapier
Yes
Pricing Details
$36.53
Free Trial
Yes
Free Version
No
Pricing Details
$ 165.6 per month
Billed annually
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Global Centre for Academic Research
Founded
2019
Country
South Africa
Website
costaqda.app/
Vendor Details
Company Name
DocDigitizer
Founded
2017
Country
Portugal
Website
www.docdigitizer.com
Product Features
Qualitative Data Analysis
Annotations
Yes
Collaboration
Yes
Data Visualization
Yes
Media Analytics
Yes
Mixed Methods Research
Yes
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
Yes
Sentiment Analysis
Yes
Statistical Analysis
Yes
Text Analytics
Yes
User Research Analysis
Yes
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No