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features
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support

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Description

Enable data for AI and analytics in a business-friendly manner through smart cataloging, supported by proactive metadata and policy governance. The IBM Watson® Knowledge Catalog serves as a powerful tool for discovering data, models, and more, enhancing the self-service exploration experience. Acting as a cloud-based repository for enterprise metadata, it facilitates the activation of information for AI, machine learning (ML), and deep learning applications. Users can access, curate, categorize, and share data and knowledge assets along with their interconnections, regardless of their location. By organizing, defining, and managing enterprise data effectively, organizations can ensure they have the appropriate context to generate value for various needs, including regulatory compliance and data monetization efforts. Furthermore, it safeguards data integrity, oversees compliance and audit readiness, and fosters client trust through active policy management and the dynamic masking of sensitive information. With user-friendly dashboards and workflows that can be easily shared with colleagues or integrated with analytical tools, businesses can consume and transform data efficiently to keep pace with their operational demands. By leveraging these capabilities, organizations can enhance their decision-making processes and drive innovation across their operations.

Description

Leverage our cloud-based Data Catalog to create a state-of-the-art workspace for your data teams, enabling them to locate, comprehend, and work collaboratively on your data assets and their applications. By establishing a clear and trustworthy data asset ecosystem at the enterprise level, you can empower your data teams effectively. The setup is straightforward, the interface is user-friendly, and it is perfectly suited for scaling operations. Effortlessly organize and disseminate your team's data knowledge and applications beyond your immediate group. With real-time insights available by connecting Zeenea to your data sources, you can significantly enhance the efficiency of your data teams by minimizing the time spent searching for enterprise assets. Develop a comprehensive library that houses all your data assets and their applications at the enterprise level, utilizing the full capabilities of metadata with just a few clicks. By refining any data discovery process, you ultimately allow your data teams to prioritize what truly matters: ensuring the timely delivery of their data projects. This approach not only streamlines operations but also fosters a culture of collaboration within the organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Cloud Yes 
IBM Cloud Pak for Applications Yes 
IBM Cloud Pak for Integration Yes 
IBM InfoSphere Information Governance Catalog Yes 
Microsoft Excel No 

Integrations

IBM Cloud No 
IBM Cloud Pak for Applications No 
IBM Cloud Pak for Integration No 
IBM InfoSphere Information Governance Catalog No 
Microsoft Excel Yes 

Pricing Details

$300 per instance
Free Trial Yes 
Free Version Yes 

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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-knowledge-catalog

Vendor Details

Company Name

Zeenea

Founded

2017

Country

France

Website

www.zeenea.com

Product Features

Data Discovery

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

Data Governance

Access Control Yes 
Data Discovery Yes 
Data Mapping Yes 
Data Profiling Yes 
Deletion Management No 
Email Management No 
Policy Management Yes 
Process Management Yes 
Roles Management Yes 
Storage Management Yes 

Data Management

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

Alternatives

Alternatives

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