Audience

Data Extraction platform for companies

About Datumize Data Collector

Data is the key asset for every digital transformation initiative. Many projects fail because data availability and quality are assumed to be inherent. The crude reality, however, is that relevant data is usually hard, expensive and disruptive to acquire. Datumize Data Collector (DDC) is a multi-platform and lightweight middleware used to capture data from complex, often transient and/or legacy data sources. This kind of data ends up being mostly unexplored as there are no easy and convenient methods of access. DDC allows companies to capture data from a multitude of sources, supports comprehensive edge computation even including 3rd party software (eg AI models), and ingests the results into their preferred format and destination. DDC offers a feasible digital transformation project solution for business and operational data gathering.

Integrations

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Company Information

Datumize
Founded: 2014
Spain
www.datumize.com

Videos and Screen Captures

Datumize Data Collector Screenshot 1
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Product Details

Platforms Supported
SaaS
Windows
Mac
Training
Documentation
Support
Phone Support
Online

Datumize Data Collector Frequently Asked Questions

Q: What kinds of users and organization types does Datumize Data Collector work with?
Q: What languages does Datumize Data Collector support in their product?
Q: What kind of support options does Datumize Data Collector offer?
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Datumize Data Collector Product Features

Data Discovery

Data Classification
Data Matching
Sensitive Data Identification
Contextual Search
False Positives Reduction
Self Service Data Preparation
Visual Analytics

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

ETL

Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Non-Relational Transformations
Data Analysis
Metadata Management
Version Control

Datumize Data Collector Additional Categories