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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The growing abundance of essential business information presents both opportunities for gaining insights and risks of potential mistakes. IBM® InfoSphere® Master Data Management offers robust matching functionalities to align and address discrepancies in data, ensuring that you maintain the most current and precise understanding of your information. With the ability to access a reliable, all-encompassing 360-degree perspective on your customers and operational processes, users can engage in collaboration and foster innovation. Users can now harness the enterprise capabilities of InfoSphere Master Data Management within the secure, governed, and integrated environment of IBM Cloud Pak® for Data. This solution allows for the consolidation of enterprise-wide business data into an exceptionally accurate representation. Additionally, it enables the visualization of master, transactional, and Hadoop data, facilitating analysis by business users and helping to create a virtual golden profile of master data suitable for registry-style applications. By enhancing visibility and accessibility, organizations can drive more informed decision-making.

Description

Tamr offers a cutting-edge data mastering platform that combines machine learning and human input to eliminate data silos, ensuring continuous data cleansing and accurate information flow throughout your organization. Collaborating with top companies globally, Tamr addresses significant data-related challenges they face. Resolve issues such as duplicate entries and inaccuracies to gain a comprehensive understanding of your data, encompassing everything from customers to products and suppliers. This advanced data mastering solution not only streamlines the integration of machine learning and human expertise but also facilitates delivering reliable data that informs business decisions effectively. By providing clean data to analytics and operational systems, it reduces the effort required by up to 80% compared to conventional methods. Tamr empowers financial institutions to maintain a data-driven approach and enhance their business results, while also assisting public sector organizations in achieving their mission goals faster by minimizing manual processes associated with data entity resolution. Ultimately, Tamr’s platform fosters a more efficient data landscape, driving innovation and improved decision-making across various sectors.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT SiteWise
AWS Marketplace
BMC AMI Ops Automation for Capping
Lyftrondata
SAP Store
SpiceX
Vertica

Integrations

AWS IoT SiteWise
AWS Marketplace
BMC AMI Ops Automation for Capping
Lyftrondata
SAP Store
SpiceX
Vertica

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/ibm-infosphere-master-data-management

Vendor Details

Company Name

Tamr

Country

United States

Website

www.tamr.com

Product Features

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

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