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features
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support

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Write a Review

Description

With automated indexing of warehouses, lakes, dashboards, and various components of your data ecosystem, Metaphor enhances data visibility by integrating utilization metrics, lineage tracking, and social popularity indicators to present the most reliable data to your audience. It fosters a comprehensive view of data and facilitates discussions about it across the organization, ensuring that everyone has access to crucial information. Engage with your clients by seamlessly sharing catalog artifacts, including documentation, directly within Slack. You can also tag meaningful conversations in Slack and link them to specific data points. This promotes collaboration by enabling the organic discovery of key terms and usage patterns, breaking down silos effectively. Discovering data throughout your entire stack becomes effortless, and you can create both technical documentation and user-friendly wikis that cater to non-technical stakeholders. Furthermore, you can provide direct support to users in Slack and leverage the catalog as a Data Enablement tool, streamlining the onboarding process for a more tailored user experience. Ultimately, this approach not only enhances data accessibility but also strengthens the overall data literacy within your organization.

Description

We empower businesses to harness the potential of first-party data collaboration while minimizing associated risks. By converting consumer data from a potential burden into a valuable revenue-generating asset, organizations can flourish in a landscape that has moved beyond traditional cookies. Our approach allows for enhanced collaboration with additional partners, thereby maximizing value for customers. Furthermore, we facilitate financial inclusion and boost revenue through innovative partnerships that utilize alternative data sources. Our solution improves underwriting accuracy and optimizes profitability by incorporating these diverse data streams. Each participant employs our secure desktop application to anonymize, tokenize, and safeguard all personally identifiable information within their consumer data, ensuring it remains protected in their local environment. This procedure produces US-patented crypto-IDs for each anonymized consumer profile, allowing for the secure matching of shared consumers across various datasets in our neutral Cloud environment. With our cutting-edge technology, we are at the forefront of the next evolution in consumer data management and collaboration. This ensures that businesses can thrive in a data-driven future while maintaining the highest standards of privacy and security.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Power BI Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Apache Airflow Yes 
Azure Machine Learning No 
Google Cloud BigQuery Yes 
Google Cloud Platform Yes 
Jupyter Notebook No 
Looker Yes 
Metabase Yes 
Okta Yes 
PostgreSQL Yes 
Python No 
Slack Yes 
Snowflake Yes 
Soda Yes 
Tableau Yes 
ThoughtSpot Yes 
dbt Yes 

Integrations

Microsoft Power BI Yes 
Amazon Redshift No 
Amazon S3 No 
Amazon Web Services (AWS) No 
Apache Airflow No 
Azure Machine Learning Yes 
Google Cloud BigQuery No 
Google Cloud Platform No 
Jupyter Notebook Yes 
Looker No 
Metabase No 
Okta No 
PostgreSQL No 
Python Yes 
Slack No 
Snowflake No 
Soda No 
Tableau No 
ThoughtSpot No 
dbt No 

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) Yes 
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

Metaphor Data

Founded

2020

Country

United States

Website

metaphor.io

Vendor Details

Company Name

Omnisient

Founded

2019

Country

South Africa

Website

omnisient.com

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 

Alternatives

Alternatives