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Average Ratings 0 Ratings

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ease
features
design
support

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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 Initially, it is essential to identify and categorize data that is redundant, outdated, or trivial (ROT), which allows companies to determine what can be safely eliminated, thereby streamlining classification efforts and cutting down on storage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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory
Amazon S3
Bitbucket
Box
Confluence
Docusign
Dropbox
Facebook Messenger
HubSpot CRM
HubSpot Customer Platform
Mailchimp
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Netskope
Okta
SAP Cloud Platform
Salesforce
Slack
Zendesk

Integrations

Active Directory
Amazon S3
Bitbucket
Box
Confluence
Docusign
Dropbox
Facebook Messenger
HubSpot CRM
HubSpot Customer Platform
Mailchimp
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Netskope
Okta
SAP Cloud Platform
Salesforce
Slack
Zendesk

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Alternatives

Alternatives

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