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About DataParser

DataParser is a data parsing software from 17a-4 that simplifies the extraction and processing of data from various formats. It provides support for structured and unstructured data, detailed error reporting, and integration with existing systems so organizations can effectively manage their data. This software is designed to handle large datasets efficiently and ensures compliance with regulatory standards. Users benefit from an easy-to-use interface that allows for quick data changes and the ability to automate routine tasks. Key capabilities: data extraction error handling system integration user-friendly interface compliance support Best for: data analysts and IT professionals that need to process and analyze large volumes of data quickly and accurately.

DataParser Details

Vendor
17a-4
Year Launched
2001
Location
7431 Broadway St. Kansas City, MO 64114
Deployment
cloud, on premise, windows
Training Options
documentation, live online
Countries Served
All Countries
Languages
English
Users
IT management, legal and compliance teams and Chief Information Officers
Industries Served
Financial Services, Legal, Healthcare, Government
Tags
Compliance, Archiving, eDiscovery, Data Management, Legal

DataParser's In-App Market Place

Does DataParser have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), INR (₹), CHF (CHF), SEK (kr)

Pros & Cons

  • Comprehensive Data Collection: Supports a wide range of data sources.
  • Flexible Integration: Works with any compliance archive.
  • User Management: Integrates with Active Directory.
  • Customizable: Supports custom indicators and configurations.
  • Automated Processing: Scheduled processing and notifications.
  • Limited Language Support: Only available in English.
  • No In-App Marketplace: Lacks an in-app marketplace for additional features.
  • Requires Technical Knowledge: Users need some technical knowledge for optimal use.

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