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Ratings and Reviews 0 Ratings
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What is PiLog?
PiLog distinguishes itself as a leading provider of Master Data Quality Solutions, servicing a range of master data fields across numerous sectors. Their groundbreaking solutions emphasize the creation of a unified business language while adeptly overseeing the standards necessary for generating high-quality, multilingual descriptions that cater specifically to client requirements. With over twenty years committed to research, development, and implementation, PiLog provides distinctive technical dictionary content that significantly boosts data quality. Renowned as The Master Data Experts, the dedicated PiLog team has effectively cleansed millions of records, resulting in considerable cost reductions for their clients. Through the elimination of duplicate inventories and spare parts, minimizing free-text costs, and refining spend analysis via precise item and service classifications, PiLog has showcased its market value. Clients not only benefit from enhanced data management but also enjoy meaningful financial advantages as a result of PiLog's unwavering commitment to excellence. Furthermore, their innovative approach continues to set new benchmarks in the industry, ensuring sustainable growth for their partners.
What is DATAROCKET?
DATAROCKET's cutting-edge technology seamlessly integrates into your IT environment, enhancing overall functionality. With an intuitive interface, it facilitates straightforward operation across various departments. The smart licensing model ensures clarity and ease of use, offering a single price for limitless opportunities. As a robust multi-domain master database management solution, DATAROCKET efficiently merges and cleans your data. Its user-friendly interface and organized design significantly boost data quality throughout your organization. This solution empowers you to refine data management across diverse areas, including customer, material, creditor, and other essential master data. Each department can effortlessly set their own data quality rules within the data pipeline, enabling real-time quality assessments for all active databases. Furthermore, the results are delivered through dynamic web reports, providing immediate access to key insights. By utilizing DATAROCKET, organizations can achieve a higher standard of data integrity and operational efficiency.
Integrations Supported
Confluence
Eclipse GlassFish
Google Chrome
IBM Db2
Internet Explorer
Jira
Jira Work Management
Microsoft Edge
Microsoft Excel
Mozilla Firefox
Integrations Supported
Confluence
Eclipse GlassFish
Google Chrome
IBM Db2
Internet Explorer
Jira
Jira Work Management
Microsoft Edge
Microsoft Excel
Mozilla Firefox
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
PiLog
Date Founded
1996
Company Location
United States
Company Website
www.piloggroup.com/master-data-record-manager.php
Company Facts
Organization Name
innoscale AG
Date Founded
2013
Company Location
Germany
Company Website
www.datarocket.de/produkte/datarocket-core
Categories and Features
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Categories and Features
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization