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What is SAP Master Data Governance?

Create a cohesive and efficient master data management strategy that spans all sectors of your business to elevate data governance, boost accuracy, and minimize overall ownership expenses. Initiate your cloud-based master data management initiative with an accessible entry point and the adaptability to gradually incorporate additional governance frameworks. By merging SAP with external data sources, create a single, reliable reference point that enables the large-scale processing of extensive data updates in a streamlined manner. Clearly define, validate, and monitor the established business rules to guarantee the preparedness of your master data while evaluating the success of your master data management activities. Encourage a collaborative workflow that includes notifications, allowing various teams to oversee specific master data attributes, thus ensuring the integrity of identified data elements and fostering accountability throughout the organization. Additionally, implementing these approaches will not only improve data consistency but also enhance decision-making processes at every level within the enterprise, ultimately driving greater operational efficiency. By embracing this integrated model, organizations can position themselves to adapt swiftly to changing data needs and leverage their data assets for strategic advantage.

What is IBM InfoSphere Master Data Management?

The increasing availability of vital business information offers both the chance to uncover valuable insights and the risk of making errors. IBM® InfoSphere® Master Data Management provides powerful matching capabilities to harmonize and rectify data inconsistencies, ensuring that your understanding of information remains both current and accurate. By offering a comprehensive and reliable 360-degree view of customers and business operations, this tool enables collaboration and inspires innovation among users. Furthermore, organizations can leverage the enterprise functionalities of InfoSphere Master Data Management within the secure, governed, and integrated framework of IBM Cloud Pak® for Data. This solution not only consolidates business data across the enterprise into a highly precise format but also supports the visualization of master, transactional, and Hadoop data, making it easier for business users to analyze and build a virtual golden profile of master data for registry-style applications. Ultimately, by improving visibility and access to data, organizations can enhance their decision-making processes, leading to more strategic outcomes. The integration of such advanced data management tools is crucial for businesses looking to thrive in a data-driven landscape.

Media

Media

Integrations Supported

BMC AMI Ops Automation for Capping
SAP Joule
SAP Store
SpiceX
Vertica

Integrations Supported

BMC AMI Ops Automation for Capping
SAP Joule
SAP Store
SpiceX
Vertica

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/master-data-governance.html

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/ibm-infosphere-master-data-management

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Categories and Features

PIM

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

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