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Average Ratings 0 Ratings

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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

Gain a comprehensive understanding of your data through various methods. While automatic profiling offers a foundational overview, enhanced functionalities cater to both technical and business users, enabling a more thorough exploration. With the integration of automation, pattern-based analysis, and statistical methods, you can acquire the in-depth insights necessary for informed decision-making. A broad array of rule-building tools empowers you to manage data quality across different tiers. You can assess standard metrics such as validity, completeness, consistency, accuracy, and timeliness, while also incorporating tailored metrics to fit specific needs. Advanced data quality is ensured through scenario-based rules that yield meaningful and context-sensitive results. Rectify data quality issues and enhance data for more significant insights, as automated correction features efficiently manage most tasks with consistent and traceable decision-making processes. Additionally, issue and workflow management facilitate human-led improvement initiatives. Ultimately, this comprehensive approach allows you to construct a more detailed and accurate representation of your data, employing techniques from entity resolution to complex deduplication and householding, thereby enriching your understanding even further.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/infosphere-qualitystage

Vendor Details

Company Name

MIOsoft

Founded

1998

Country

United States

Website

www.miosoft.com/products/miovantage/index.html

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

Data Management

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

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