Kalpesh Shah

MDM statistics, market size, growth analysis and industry trends shaping the future of enterprise data.
An image showing service master data management and analytics visualization
Understanding “Service Master Data” as a data domain with sample data models, challenges to maintain and more
Material and equipment classification based on the MESC Codes
An in-depth look at the MESC framework, its structure, components, and impact on global supply chain management.
Enterprise illustration of finance master data management showing chart of accounts, cost centers, legal entities, and governed financial data structures
Why the structure behind your financial data is now as important as the data itself. Here is what it actually
Spare Parts Criticality
Explore how critical spare parts are classified and prioritized in MRO and maintenance processes, along with best practices for managing
Visualization of MRO data enrichment with enhanced spare parts classification, workflow automation, and ERP/CMMS integration.
Transform fragmented and incomplete MRO data into a reliable asset through intelligent enrichment that supports inventory optimization and maintenance planning.
MRO Data Cleansing
A framework to cleanse, standardize, enrich and de-duplicate MRO data in a few weeks with AI Agents & Human reviewers
Illustration of Business professionals reviewing customer data on a large digital dashboard with charts and graphs, symbolizing effective customer data management and collaboration.

Introduction Use of software solutions in enterprise companies is quite different from that found in startups, small and medium-sized businesses

A self-operating data scrubbing program depicted as a swarm of tiny, digital robots deduplicating and enriching corrupted data files on a computer screen, viewed through a magnifying glass.
Understanding data cleansing, normalization and enrichment processes for different data domains in ERP master
AI in Master Data Management use cases
How machine learning supports master data management by improving classification, matching, enrichment, and ongoing data quality at enterprise scale.
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