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What is StarDQ?

A robust and real-time enterprise solution designed for data cleansing, de-duplication, and enrichment is essential for modern organizations. StarDQ Data Validation Solutions works alongside businesses to clean, match, and harmonize data from various domains and sources, transforming it into a strategic, reliable, and valuable resource. This enhancement not only facilitates better decision-making but also lowers costs, ensuring a smooth customer experience. The StarDQ Self Service Data Quality tool enables business users to swiftly prepare and match data sets through an intuitive visual interface. Additionally, it provides one-click solutions for addressing issues such as duplicates, incomplete entries, or inaccuracies in the data. By offering quick access to data integration and reusable cleaning and de-duplication rules, it empowers business users, data stewards, IT analysts, and others to maintain high data quality effectively. Ultimately, this comprehensive approach leads to more efficient operations and improved outcomes across the organization.

What is SAP Data Services?

Harness the capabilities of both structured and unstructured data in your organization by utilizing exceptional features aimed at data integration, quality improvement, and cleansing. The SAP Data Services software significantly enhances data quality across the organization, ensuring that the information management layer of SAP’s Business Technology Platform delivers dependable, pertinent, and timely data that can drive better business outcomes. By converting your data into a trustworthy and readily available resource for insights, you can greatly optimize workflows and enhance efficiency. Achieving a comprehensive understanding of your information is possible by accessing data from diverse sources and varying sizes, which aids in revealing the hidden potential within your data. Strengthening decision-making and operational effectiveness comes from standardizing and matching datasets to reduce duplicates, uncover connections, and proactively tackle quality issues. Moreover, vital data can be consolidated across on-premises systems, cloud environments, or Big Data platforms with intuitive tools that simplify the process. This all-encompassing strategy not only simplifies data management but also equips your organization to make well-informed strategic decisions. Ultimately, a robust data management framework can transform data into a strategic asset that propels growth and innovation within your organization.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
ArcGIS
Arctera Enterprise Vault
Azure NetApp Files
CIMPLICITY
Data Commerce Cloud
EHSwise
Expana
Google Cloud Platform
HPE Consumption Analytics
Hitachi Content Intelligence
IBM Cloud
Microsoft 365
NEC EXPRESSCLUSTER
NVIDIA DRIVE
SUSE Cloud Application Platform
Wiiisdom Ops
Wipro Cloud Studio

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Starcom Information Technology

Date Founded

1995

Company Location

India

Company Website

www.starcominfotech.com

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/data-services.html

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Cleansing

Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Deduplication

Not specified

Categories and Features

Data Cleansing

Not specified

Data Integration

Not specified

Data Quality

Not specified

Integration

Not specified

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