BiG EVAL logo

BiG EVAL

by BiG EVAL · Since 2010
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ActiveAvailable globallyCloud
Quick facts
VendorBiG EVAL
Year launched2010
StatusActive
LocationOberfeldstrasse 12a Kloten, ZH 8302, CH
Countries servedGlobal
Languages2
Integrations4+
Free tier
Free trialYES
Contact salesYES

About BiG EVAL

BiG EVAL is a data evaluation software from BiG EVAL that aims to assess and analyze data effectively. It combines advanced analytics, reporting tools, and user-friendly interfaces to provide users with insightful data evaluation. This software facilitates the understanding of complex data sets through its comprehensive reporting capabilities and visualizations. BiG EVAL also supports the integration of various data sources for a holistic view of performance metrics. Key capabilities: data analysis reporting tools user-friendly interface data integration visualization tools Best for: data analysts and business intelligence professionals that need to evaluate and interpret data for informed decision-making.

BiG EVAL is a comprehensive data quality management platform designed to ensure the accuracy, consistency, and reliability of enterprise data across multiple sources. Its user-friendly interface makes it accessible for both technical and non-technical users, with features like templates and an easy-to-learn scripting language that simplify creating validation rules. The software seamlessly integrates with a wide range of data sources, including major databases like SQL Server, Oracle, MySQL, PostgreSQL, and Hadoop, as well as data warehouses such as Snowflake and Azure SQL Data Warehouse. It also supports analytics tools like Power BI and enterprise applications like SAP and Microsoft Dynamics, enabling end-to-end data validation workflows. This extensive integration capability allows organizations to monitor and validate data across their entire infrastructure effortlessly. At its core, BiG EVAL offers continuous data validation, issue ticketing, and workflow automation to proactively manage data quality issues. It automatically detects erroneous, missing, or duplicated data and compares it against custom business rules, ensuring compliance with business-specific standards.

Pros & Cons

What users like
  • +User-friendly interface
  • +Extensive source support and integrations
  • +Automated issue tracking and workflows
  • +Ready-to-use templates and test cases
  • +Continuous monitoring and alerting
What users flag
  • May require some technical expertise for scripting
  • Complexity could be overwhelming for non-technical users
  • Limited offline capabilities
  • Customization might need expert assistance

Features

Key features

1. Data Validation & Plausibility Checks
BiG EVAL offers preconfigured validation methods, custom scripting, and templates to verify data accuracy and consistency. This ensures data is not only correct but also makes logical sense.
2. Continuous Data Monitoring
Automate regular data quality checks across the entire data lifecycle, providing real-time alerts and notifications for issues.
3. Data Issue Ticketing & Workflow Management
Automatically creates issue tickets, assigns responsibilities, tracks resolution progress, and documents each step, facilitating seamless issue resolution.
4. Integration with Data Sources & Systems
Supports integration with major databases, data lakes, analytics tools, ERP, and CRM systems enabling end-to-end validation and automation.
5. Authority & Security
Offers enterprise-grade security with customizable permissions and audit trails, suitable for large organizations with strict security needs.
6. Templates & Marketplace
Provides ready-to-use test cases, scripts, and templates, speeding up implementation and improving usability.
7. Visualization & Reporting
Includes dashboards and KPI metrics for analyzing data quality, drilling into details, and reporting to stakeholders.

Additional features

1. Data Comparison
Finds erroneous, missing, duplicate, and incorrectly transformed data, maintaining consistency.
2. Business Rules Validation
Checks data against custom business-specific rules to ensure compliance.
3. End-to-End Validation
Supports checking data integrity across multiple sources, systems, and processes.
4. Custom Scripting
Allows flexible creation of validation algorithms tailored to unique business needs.
5. Issue Management
Tracks data issues from detection through resolution for accountability.
6. Workflow Automation
Supports automated workflows to handle complex resolution procedures.
7. Data Cleansing
Provides features to correct data issues at the source, maintaining quality before analysis.
8. Alerts & Notifications
Configurable alerts notify responsible personnel immediately upon detection of issues.
9. Data Quality Dashboards
Interactive dashboards for real-time monitoring and detailed analysis.
10. Issue Documentation & Retesting
Records problem-solving steps and retests data to confirm issues are fixed.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
2
Interface languages
19
Billing currencies

Interface languages

EnglishGerman

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇿NZD🇰🇷KRW🇸🇬SGD🇳🇴NOK🇲🇽MXN🇮🇳INR🇷🇺RUB🇿🇦ZAR🇧🇷BRL🇭🇰HKD

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