https://store-images.s-microsoft.com/image/apps.52616.3390ba3c-ca10-4315-a8cc-17e524efa768.b3e0e190-9c5a-4348-a1bc-1023b900e1da.5fbbf2b7-944c-4551-bcea-107b10ebafd2

Metadata discovery

作者 Parabole

Metamap: Machine learning based metadata catalog discovery and validation solution

BACKGROUND:
As organizations attempt to achieve success in their digital transformation initiatives, finding meaningful and trustworthy data within an efficient timeframe is critical.
Today, analysts spend considerable time sourcing, analyzing and labelling data to implement an enterprise metadata inventory. The intensely manual nature of this exercise leaves no time for validation of business terms, their relationships and their contextual usage. Moreover, given that most organizational data exists in the form of text, current approaches are inadequate to build a complete enterprise business glossary.
SOLUTION OVERVIEW:
Parabole’s ‘Metamap’ is a machine-assisted solution which automates discovery of business glossaries from structured data sources & business documents.
KEY FEATURES:
BUSINESS TERM DISCOVERY
Discovers business terms present in business documents such as contracts,process docs,requirement specs,design docs.
ESTABLISHING TRACEABILITY
Enables traceability of terms from documents and systems.
BUSINESS TERM DEFINITION
This machine-led approach assists data stewards with definition writing by establishing references to contextual usage of business terms across various functions within an enterprise.
METADATA QUALITY
‘Metamap’automatically reviews metadata and term definitions for quality errors including, but not limited to, acronyms, spelling, flagging etc. It also suggests full-text correction based on enterprise learning
MAPPING AND CLASSIFICATION
This physical data discovery provides a complete view of physical data and mapping with corresponding business terms. It also reveals the relationships between business metadata and other business terms.
BUSINESS CONTEXT AND SEMANTIC CATALOG
Enhances textual information with business contexts which makes them searchable for data and business analysis.
SEMANTIC KNOWLEDGE GRAPH
Creates knowledge graph from all metadata and provides a common data access layer.
KEY BENEFITS:
TIME AND COST EFFICIENCY
Metamap greatly increases capacity, efficiency and accuracy for both business and data groups when analyzing large volumes of metadata generating savings of 70% or more of analysts’ & SMEs’ time.
EASY ACCESS AND COLLBORATION
Creates an environment that allows for easy interaction between stakeholders with a shared meta-data catalog and business glossary.
REUSABLE ENTERPRISE KNOWLEDGE
Knowledge graph enables creation & accessing enterprise knowledge for all metadata cataloging and analysis projects.
EASY INTEGRATION WITH DOWNSTREAM DATA GOVERNANCE PLATFORM
Seamless integration with enterprise business glossary and metadata catalog solutions. Provides plugins for connecting to underlying databases, document repositories. 

概览

https://store-images.s-microsoft.com/image/apps.65107.3390ba3c-ca10-4315-a8cc-17e524efa768.b3e0e190-9c5a-4348-a1bc-1023b900e1da.0a9a79d2-a2b3-426f-a24b-a0901f102379
https://store-images.s-microsoft.com/image/apps.62033.3390ba3c-ca10-4315-a8cc-17e524efa768.b3e0e190-9c5a-4348-a1bc-1023b900e1da.ea0f743e-80e9-4176-b109-785fe75356ce
https://store-images.s-microsoft.com/image/apps.8426.3390ba3c-ca10-4315-a8cc-17e524efa768.b3e0e190-9c5a-4348-a1bc-1023b900e1da.3be7b86d-b461-4f14-b564-c31b47d9f715