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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

IBM InfoSphere® QualityStage® is tailored to enhance your efforts in data quality and information governance. This tool allows for thorough investigation, cleansing, and management of data, ensuring a unified perspective on essential entities like customers, suppliers, locations, and products. It proves invaluable for enhancing data quality across various projects such as big data, business intelligence, data warehousing, application migration, and master data management. Additionally, it is compatible with IBM System z®. The solution offers features such as data profiling, standardization, probabilistic matching, and data enrichment, which collectively bolster cross-organizational support for information governance practices. By employing comprehensive data profiling and analytical techniques, users can gain insights into the quality, structure, and content of their tables and files. This includes various analytical methods such as column analysis, data classification, data quality scoring, relationship evaluation, multicolumn primary key analysis, and overlap analysis. Ultimately, IBM InfoSphere® QualityStage® empowers organizations to maintain high data integrity and fosters better decision-making across the board.

Description

PiLog stands out as a premier provider of Master Data Quality Solutions, catering to various master data domains across multiple industries. Their innovative solutions prioritize establishing a shared business language while effectively managing the guidelines for producing high-quality, multilingual descriptions tailored to client needs. With over two decades of dedicated research, development, and execution, PiLog offers unique technical dictionary content that enhances data quality. Known as The Master Data Experts, the PiLog team has successfully cleansed tens of millions of records, leading to significant cost savings for their clients. By eliminating duplicate inventory and spare parts, reducing free-text expenses, and optimizing spend analysis through accurate item and service classification, PiLog has proven its value in the market. Their commitment to excellence ensures that clients not only achieve better data management but also realize substantial financial benefits.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Eclipse GlassFish No 
Google Chrome No 
IBM Db2 No 
Internet Explorer No 
Microsoft Edge No 
Mozilla Firefox No 
MySQL No 
Opera No 
Oracle Database No 
Oracle WebLogic Server No 
SAP Store No 
SQL Server No 
Safari No 
WildFly No 

Integrations

Eclipse GlassFish Yes 
Google Chrome Yes 
IBM Db2 Yes 
Internet Explorer Yes 
Microsoft Edge Yes 
Mozilla Firefox Yes 
MySQL Yes 
Opera Yes 
Oracle Database Yes 
Oracle WebLogic Server Yes 
SAP Store Yes 
SQL Server Yes 
Safari Yes 
WildFly Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/infosphere-qualitystage

Vendor Details

Company Name

PiLog

Founded

1996

Country

United States

Website

www.piloggroup.com/master-data-record-manager.php

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Product Features

Master Data Management

Data Governance No 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge No 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization No 

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