PiLog Data Quality Management logo

PiLog Data Quality Management

by PiLog Group · Since 1996
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ActiveAvailable globallyCloud
Quick facts
VendorPiLog Group
Year launched1996
StatusActive
LocationPiLog Incorporated 1980 Post Oak Blvd Suite 100 Houston, TX 77056
Countries servedGlobal
Languages1
Integrations1+
Free tierN/A
Free trialN/A
Contact salesYES

About PiLog Data Quality Management

PiLog Data Quality Management is a data management software from PiLog Group that focuses on ensuring data integrity and quality. It provides features for data validation, data cleansing, and data monitoring so organizations can maintain accurate and reliable data. This software supports various data sources and formats, enabling users to implement data quality measures across different systems. PiLog Data Quality Management also includes reporting tools that allow users to visualize data quality metrics, helping to identify areas needing improvement. Key capabilities: data validation data cleansing data monitoring reporting tools integration with existing systems Best for: organizations that need to maintain high data quality standards across multiple data sources.

PiLog Data Quality Management software is a robust solution designed to help organizations maintain high-quality data by providing tools to cleanse, standardize, and enrich their datasets. One of its standout features is its comprehensive set of data quality rules and algorithms that can be customized to suit specific business needs. The user interface of PiLog Data Quality Management is clean and intuitive, making it easy for users to navigate and access the various functionalities. The design elements are minimalistic yet effective, enhancing the overall user experience by focusing on clarity and simplicity. Users can easily configure rules, monitor data quality metrics, and view detailed reports at a glance. What sets PiLog Data Quality Management apart from its competitors is its innovative approach to data profiling and monitoring. The software can automatically detect data anomalies and inconsistencies, allowing users to proactively address issues before they escalate. This proactive data quality management approach minimizes the risk of errors and ensures accurate and reliable data for decision-making purposes. In terms of performance, PiLog Data Quality Management excels in speed, efficiency, and reliability.

Pros & Cons

Pros
  • Built on Global Standards – Aligns with ISO 8000 and other international data governance frameworks.
  • Automation Reduces Manual Labor – AI and rules-based automation streamline data handling.
  • Industry-Specific Libraries – Comes pre-loaded with domain-specific ontologies.
  • Comprehensive Governance Support – Provides detailed audit trails and workflow customization.
Cons
  • Enterprise Complexity – May be overly complex for small to midsize organizations.
  • Setup Requires Expertise – Initial deployment can require specialized configuration.
  • Opaque Pricing – Pricing not publicly available, likely customized per client.
  • Interface May Be Dense – Rich functionality may overwhelm first-time users.
  • Limited Public Documentation – Few user-facing resources or community support online.

Features

Key features

ISO 8000-Compliant Data Cleansing
Ensures master data is standardized and structured according to international data quality standards.
Automated Classification & Attribute Extraction
Uses AI algorithms to classify materials, assets, or services and extract attributes like unit of measure and specifications.
Master Data Harmonization
Eliminates duplicates, merges records, and creates a single source of truth across systems.
Data Profiling & Quality Dashboards
Assesses data completeness, consistency, and integrity through built-in dashboards and scoring.
Data Governance & Workflow Controls
Supports rule-based approval workflows, audit trails, and compliance mechanisms for secure data management.

Additional features

Preferred Ontology & Taxonomy Management
Built-in library of industry-specific data models and ISO-compliant taxonomies.
Data Enrichment & Reference Mapping
Enhances records using trusted repositories and reference data.
Duplicate Identification & Resolution Tools
Identifies and resolves duplicates using fuzzy logic and match confidence scoring.
Quality Scorecards
Provides health checks and KPIs for each data domain.
Multi-System Integration
Seamlessly integrates with SAP, Oracle, Microsoft Dynamics, and other ERP systems.
Role-Based Access Control
Ensures secure data access and governance via user roles and permission settings.
API & ETL Compatibility
Supports automation and real-time data flow through APIs and ETL pipelines.
Cloud or On-Prem Deployment
Offers flexible deployment options depending on organization needs.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
7
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF

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