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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 Informatica MDM?

Our leading-edge, all-encompassing solution is designed to support any master data domain, implementation strategy, and use case, whether it operates in the cloud or on-premise environments. It integrates seamlessly with premier data integration, data quality, business process management, and data privacy capabilities. Tackle complex issues head-on by gaining reliable insights into critical master data. Instantly create links between master data, transactional data, and interaction data across multiple domains. Improve the accuracy of your data records through verification services and enrichment tailored for both B2B and B2C environments. Effortlessly manage updates to numerous master data records, dynamic data models, and collaborative workflows with a simple click. Reduce maintenance expenses and speed up deployment using AI-powered match tuning and rule recommendations. Increase productivity by leveraging search functionalities along with ready-to-use, detailed charts and dashboards. By adopting this comprehensive strategy, organizations can produce high-quality data that notably improves business results by delivering reliable and relevant insights. Ultimately, this holistic approach empowers organizations to confidently make informed, data-driven decisions that lead to sustained success.

Media

Media

Integrations Supported

Integrations Supported

AX Semantics
Exterro
Google Cloud Platform
Google Cloud Pub/Sub
Hadoop
Informatica Supplier 360
Salesforce Agentforce Education
Salesforce CRM Analytics
UKG Pro

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
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

Informatica

Date Founded

1993

Company Location

United States

Company Website

www.informatica.com

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

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

Data Validation

Not specified

Identity Resolution

Not specified

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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