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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 Datagaps DataOps Suite?

The Datagaps DataOps Suite is a powerful platform designed to streamline and enhance data validation processes across the entire data lifecycle. It offers an extensive range of testing solutions tailored for functions like ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) initiatives. Among its key features are automated data validation and cleansing capabilities, workflow automation, real-time monitoring with notifications, and advanced BI analytics tools. This suite seamlessly integrates with a wide variety of data sources, which include relational databases, NoSQL databases, cloud-based environments, and file systems, allowing for easy scalability and integration. By leveraging AI-driven data quality assessments and customizable test cases, the Datagaps DataOps Suite significantly enhances data accuracy, consistency, and reliability, thus becoming an essential tool for organizations aiming to optimize their data operations and boost returns on data investments. Additionally, its intuitive interface and comprehensive support documentation ensure that teams with varying levels of technical expertise can effectively utilize the suite, promoting a cooperative atmosphere for data management across the organization. Ultimately, this combination of features empowers businesses to harness their data more effectively than ever before.

Media

Media

No images available

Integrations Supported

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
SAP Joule
SAP Store

Integrations Supported

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
SAP Joule
SAP Store

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

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com

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

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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