Prosol
PROSOL by CODASOL is a revolutionary Master Data Management (MDM) platform designed to address the ongoing challenges of data quality decay experienced by large enterprises. Traditional annual data cleansing projects often provide only temporary solutions to data quality issues. Organizations frequently rely on consulting firms to standardize and improve master data quality, only to find that these improvements are short-lived, leading to recurring costs and inefficiencies. PROSOL integrates an "always-on" data quality assurance program directly into your master data management processes. This ensures that data quality is maintained continuously, reducing the need for periodic cleansing exercises and associated costs. Utilizing advanced deep learning algorithms such as Word2Vec, Long-Short Term Memory (LSTM), and Sequence-to-Sequence Models, PROSOL offers superior product specification matching and similarity measures.
Learn more
SCIKIQ
SCIKIQ is an enterprise data fabric and AI platform that moves organizations from fragmented data to production-ready AI.
AI is only as good as the meaning behind the data. SCIKIQ builds that foundation with data semantics, ontologies, and knowledge graphs, connecting data integration, data quality, data governance, and master data management into a unified data fabric that gives AI true business context.
167+ pre-built connectors including SAP, Snowflake, Oracle, and Kafka.
No migration. Cloud-agnostic. Live in 30–90 days, Fastest ROI
Built on a semantic layer with data catalog, data lineage, ETL, and agentic AI,
SCIKIQ brings conversational analytics and self-service business intelligence to business teams , while data teams keep full governance and control.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10. YourStory Tech30.
Trusted by category leaders in banking, financial services, retail, manufacturing, and supply chain & Logistics.
Learn more
OpenDQ
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs.
OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework:
Comprehensive Data Quality
Matching
Profiling
Data/Address Standardization
Master Data Management
Customer 360 View
Data Governance
Business Glossary
Meta Data Management
Learn more
Oracle MDM
To fully understand master data management (MDM), we must first define and explain master data and differentiate between it and master data management. Master data is the critical business information that supports and classifies the transactional and analytical data of an enterprise. It may also be referred to as “enterprise data” or “metadata,” and often includes application-specific metadata, alternative business perspectives, corporate dimensions, reference data, and master data assets. Examples of enterprise data include chart of accounts, organization or cost-center structures, market segments, product categories, and more. Master data management (MDM) does exactly what the name implies—manages master data. MDM is the combination of applications and technologies that consolidates, cleanses, and augments this master data and synchronizes it with applications, business processes, and analytical tools.
Learn more