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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 ETL Validator?

DataOps ETL Validator is a comprehensive solution designed for automating the processes of data validation and ETL testing. It provides an effective means for validating ETL/ELT processes, simplifying the testing phases associated with data migration and warehouse projects, and includes a user-friendly interface that supports both low-code and no-code options for creating tests through a convenient drag-and-drop system. The ETL process involves extracting data from various sources, transforming it to align with operational requirements, and ultimately loading it into a specific database or data warehouse. Effective testing within this framework necessitates a meticulous approach to verifying the accuracy, integrity, and completeness of data as it moves through the different stages of the ETL pipeline, ensuring alignment with established business rules and specifications. By utilizing automation tools for ETL testing, companies can streamline data comparison, validation, and transformation processes, which not only speeds up testing but also reduces the reliance on manual efforts. The ETL Validator takes this automation a step further by facilitating the seamless creation of test cases through its intuitive interfaces, enabling teams to concentrate more on strategic planning and analytical tasks rather than getting bogged down by technical details. Consequently, it empowers organizations to enhance their data quality and improve operational efficiency significantly, fostering a culture of data-driven decision-making. Additionally, the tool's capabilities allow for easier collaboration among team members, promoting a more cohesive approach to data management.

Media

Media

Integrations Supported

Azure Databricks
Azure Synapse Analytics
Datagaps DataOps Suite
Microsoft Power BI
Oracle Analytics Cloud
SAP Joule
SAP Store
Salesforce
Snowflake
Tableau

Integrations Supported

Azure Databricks
Azure Synapse Analytics
Datagaps DataOps Suite
Microsoft Power BI
Oracle Analytics Cloud
SAP Joule
SAP Store
Salesforce
Snowflake
Tableau

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

Company Location

United States

Company Website

www.datagaps.com/etl-validator/

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

ETL

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

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