Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Description

Product data stands as a crucial asset for any organization, and effectively sharing this technical information is essential for thriving in the rapidly evolving digital landscape. CLOVER CollectIT is a versatile, web-based file management solution that facilitates the extraction, packaging, and secure distribution of PLM files and data, regardless of the vendor. With CollectIT, sharing product details such as part numbers, BOMs, associated CAD files, and other technical documents with employees, vendors, and clients becomes a seamless process. By enhancing transparency and ensuring easy access to up-to-date files, the software helps minimize errors in production, maintenance, and across the extended enterprise. This tool significantly alleviates bottlenecks and automates the compilation of technical packages, allowing users to focus less on data retrieval and more on their core activities. Furthermore, it fosters better communication and collaboration by granting non-PLM users direct access to PLM content, ultimately leading to savings in both time and costs. Embracing such a tool can transform how teams interact with product data, paving the way for improved efficiency and productivity.

Description

Brave River's ETL software, known as Data Bridge, empowers users to extract information from various sources, subsequently reformatting and processing it prior to its transfer to a designated destination file. This multi-step approach of Data Bridge significantly reduces the costs and mistakes often linked with manual data entry. Unlike standard ETL tools that merely gather, format, and relay data, Data Bridge enhances this process by enabling users to handle and retain data, executing multiple transactions prior to loading. Users can implement an endless array of transformation stages, ensuring that the data remains perfectly formatted throughout the entire ETL workflow. This comprehensive capability not only streamlines data management but also improves overall efficiency in handling large datasets.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Aras Innovator Yes 
DriveWorks Yes 
Jitterbit Yes 
OpenBOM Yes 

Integrations

Aras Innovator No 
DriveWorks No 
Jitterbit No 
OpenBOM No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Contact Brave River Solutions for pricing details.
Free Trial No 
Free Version 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 

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 No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Razorleaf Corporation

Founded

2000

Country

United States

Website

www.razorleaf.com/products/collectit/

Vendor Details

Company Name

Brave River Solutions

Founded

1999

Country

United States

Website

www.braveriver.com/blog/data-bridge-custom-etl-software/

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Lifecycle Management

Change Management No 
Compliance Management No 
Cost Tracking No 
Design Management No 
Document Management No 
Product Data Management No 
Project Management No 
Requirements Management No 
Supplier Management No 

Product Features

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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