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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

The NVISIONx data risk intelligence platform provides organizations with the ability to take charge of their enterprise data, thereby minimizing risks associated with data, compliance requirements, and storage expenses. The exponential growth of data is becoming increasingly unmanageable, leading to heightened challenges for business and security leaders who struggle to secure information they cannot effectively identify. Simply adding more controls will not resolve the underlying issues. With extensive and unlimited analytical capabilities, the platform supports over 150 specific business use cases, equipping data owners and cybersecurity professionals to proactively oversee their data throughout its entire lifecycle. Initially, it is essential to identify and categorize data that is redundant, outdated, or trivial (ROT), which allows companies to determine what can be safely eliminated, thereby streamlining classification efforts and cutting down on storage costs. Subsequently, all remaining data can be contextually classified through a variety of user-friendly data analytics methods, empowering data owners to assume the role of their own analysts. Finally, any data deemed unnecessary or undesirable can undergo thorough legal evaluations and records retention assessments, ensuring that organizations maintain compliance and optimize their data management strategies.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Apple Mail No 
Bitbucket No 
Box No 
Dropbox No 
GitHub No 
Gmail No 
Google Drive No 
HubSpot CRM No 
HubSpot Customer Platform No 
Mailchimp No 
Microsoft 365 No 
Microsoft Exchange No 
Microsoft OneDrive No 
Microsoft SharePoint No 
Netskope No 
SQL Server No 
Salesforce No 
Splunk Cloud Platform No 
Zendesk No 

Integrations

Amazon Web Services (AWS) Yes 
Apple Mail Yes 
Bitbucket Yes 
Box Yes 
Dropbox Yes 
GitHub Yes 
Gmail Yes 
Google Drive Yes 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Mailchimp Yes 
Microsoft 365 Yes 
Microsoft Exchange Yes 
Microsoft OneDrive Yes 
Microsoft SharePoint Yes 
Netskope Yes 
SQL Server Yes 
Salesforce Yes 
Splunk Cloud Platform Yes 
Zendesk 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 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 Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/infosphere-qualitystage

Vendor Details

Company Name

NVISIONx

Country

United States

Website

www.nvisionx.ai/

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 Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

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 

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