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Global IDs

Functionality Detail

The Global IDs Product Suite provides multiple applications in 10 core functional areas that are essential to data management. In addition, it provides multiple applications in 5 additional areas to support an enterprise or global deployment.

Functional Area
 Primary Function
(Core Application Modules)
Data Discovery
Automated Scanning and Discovery of Information Assets
DBCrawler : Scans structured data (i.e relational databases) in global / enterprise data landscape
System Scanner : Scans network environment to determine data management infrastructure
Document Scanner : Scans network environment to determine unstructured data assets
XSD Scanner : Scans XSD and correspondind XML documents
Model Scanner : Scans data models
FlatFile Scanner : Scans fixed length flat files. Imports data and metadata
Delimited File Scanner : Scans Delimited files. Imports data and metadata
Data Profiling
Automated Metadata Discovery
Metadata Crawler : Performs statistical data profiling on relational schemas
Relationship Profiler : Performs profiling to test documented relationships and discover undocumented relationships. Detects orphans.
Pattern Profiler : Performs pattern mining for all attributes in the data landscape
Hierarchy Profiler : Automatically detects hierarchies inside entity data.
Domain Profiler : Automatically detects semantic domains across the data landscape
ID Profiler : Automatically detects identifiers and natural keys inside entities. Checks for consistency in ID usage across the data landscape
Code Table Profiler : Identifies code tables, and checks consistency in code usage across the data landscape
SubType Profiler : Detects subtypes inside entities, and ensures consistency in subtype usage across data landscape
SubTable Profiler : Performs data profiling on subsets of tables.
Quality Profiler : Profiles the data to determine data quality and trustworthiness
Data Classification
Automated Classification of Data Objects into Semantic Categories
Taxonomy Manager (Business Objects): Classifies entities and attributes into business relevant semantic categories.
Taxonomy Manager (Global Objects) : Classifies information into semantic categories that are of global relevance.
Taxonomy Manager (Industry Objects) : Classifies information into semantic categories that are of relevance to particular industries. (e.g Pharmaceuticals, Telecom, Insurance, Public Sector ...)
Taxonomy Manager (Application Objects) : Classifies information into semantic categories that are of relevance to specific applications (e.g. SAP, Oracle Financials ..)
Taxonomy Manager (Country Specific Objects) : Classifies information into semantic categories that are of relevance to a specific country
Classifier (Person) : Classifies those attributes that are associated with person names and identifiers
Classifier (Organization) : Classifies those attributes that are associated with organizational names and identifiers
Classifier (Physical Addresses) : Classifies those attributes that are associated with location information and physical addresses.
Classifier (Time) : Classifies those attributes that are associated with timestamp and calendar information.
Classifier (Communication) : Classifies those attributes that are associated with communciation identifiers like phone numbers and email addresses.
Classifier (SubTypes) : Classifies those attributes that are associated with subtype information
Classifier (Boolean) : Classifies those attributes that are associated with boolean information
Classifier (Code Tables) : Classifies those attributes that are associated with code tables.
Data Verification
Automatic validation of semantic domains
Multiple Validation modules to test each data value of each semantic domain against pre-defined sets of business rules.
Data Quality
Measurement, monitoring and cleansing of business data
Data Cleanser : For automatic detection of statistical outliers and "dirty data", and for manual cleansing using web-based workflows
Data Quality Metrics Analyzer : Measures and monitors data quality using pre-defined data quality metrics.
Data Mapping
Automated Reference Data Integration
Data Lineage Analyzer : for tracing data lineage of critical data objects across data landscape
Schema Comparer : for comparing two schemas and identifying similarities across entities and attributes.
Organizational Mapper : Compares two tables in the data land
Organizational Mapper : Maps together organization related semantic domains across the data landscape
Privacy Mapper : Maps together data privacy related semantic domains
Infrastructure Mapper : Maps together infrastructure related semantic domains
Security Mapper : Maps together security related semantic domains
PCI Mapper : Maps together credit card related semantic domains
Compliance Mapper : Maps together compliance related semantic domains
People Mapper : Maps together people related semantic domains
Data Movement
Extraction Tranformation Load (ETL) for Semantic Data
Data Transformer : Aggregates Reference Data into Persitent Storage Areas for subsequent integration activities.
Data Integration
Integration of Semantic Objects
ID Integrator : For Master Data Mapping, Integration and Analysis.
Business Architecture Modeler : For Modeling and Visualizing Business Architectures
Data Stewardship
Automatic Monitoring the Data Landscape
Data Steward : For creating accountability for reference data quality.
Business Data Monitoring : For monitoring change in Data, Metadata in the data landscape
Data Analysis
Business Data Analysis, Visualization and Monitoring of Business Performance Metrics
Business Data Analyzer : For multi-dimensional analysis of Business Data.
Hierarchy Manager : For analyzing and comparing hierarchies of Master Data
Data Visualizer : For visual representation of data.
Metrics Manager : For creation, analysis and monitor of data management and business management metrics

 

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