What Is DataSnipper?
Overview
DataSnipper is an advanced accounting software integrated within Excel designed to enhance the efficiency and accuracy of audit and finance procedures.
It helps automate the extraction, cross-referencing, and validation of source documents for various audit and finance tasks.
Trusted by over 500,000 professionals in over 85 countries, DataSnipper accelerates the speed and improves the quality of these procedures, making it a valuable tool for audit and finance professionals worldwide.
How Much Does DataSnipper Cost?
The cost of DataSnipper is not explicitly stated in the provided information. However, it mentions that DataSnipper offers three platform packages: Basic, Professional, and Enterprise, starting from May 1, 2023. The details of these packages are as follows:
- Basic: Essential automation and documentation tools for smaller teams.
- Professional: Advanced options, analytics, and access to the full suite of automation tools for larger-scale use.
- Enterprise: Designed for organizations needing extensive features and support.
DataSnippers' cost for each plan will vary depending on the number of users and business requirements. A free trial is also available. For further details, click
Get Pricing.
DataSnipper Integrations
DataSnipper seamlessly integrates with Excel.
Who Is DataSnipper For?
DataSnipper software caters to various industries, including:
- Accounting
- Financial services
- Consulting
- Legal services
- Management consulting services
Is DataSnipper Right For You?
If you are a business looking to eliminate repetitive tasks and extract, compare, and document audit/finance procedures, then DataSnipper can be a right fit for you. DataSnipper has garnered significant acclaim from its user reviews, who appreciate its ability to deliver top-notch work and drive substantial efficiency improvements.
With over 500,000 users placing their trust in the platform worldwide, it has established itself as a preferred choice of accounting software for audit and finance professionals.