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Global IDs

Functionality Detail

Global IDs provides multiple applications organized in 4 functional areas and 16 layers that are essential to data governance. In addition, it provides multiple applications in other additional areas to support an enterprise or global deployment.

Layer
 Primary Function
(Core Application Modules)
Data Discovery

Automated Scanning and Discovery of Information Assets

Connection Manager : Manages connections to relational databases.
DBCrawler : Scans structured data (i.e relational databases) in global / enterprise data landscape
Unstructured Data Scanner : Scans network environment to determine unstructured data assets
XML File Scanner : Scans XSD and corresponding XML documents
Excel File Scanner : Scans Microsoft Excel files.
Fixed-Length File Scanner : Scans fixed length flat files. Imports data and metadata.
Delimited File Scanner : Scans Delimited files. Imports data and metadata.
PHI Domain Scanner : Scans documents for PHI domains without revealing sensitive information.
PDF Scanner : Scans PDF files.
Word Scanner : Scans Microsoft Word files.
PowerPoint Scanner : Scans Microsoft PowerPoint files.
Sharepoint File Scanner : Scans files on a Sharepoint Server
Outlook Scanner : Scans attachments in Outlook files (.pst)
Lotus Domino Scanner : Scans files on a Lotus Domino Server
Data Profiling
Automated Metadata Discovery
Metadata Crawler : Performs statistical data profiling on relational schemas, does pattern mining for all attributes in the data landscape and automatically detects semantic domains across the data landscape.
Relationship Profiler : Performs profiling to test documented relationships and discover undocumented relationships. Detects orphan values.
ID Profiler : Automatically detects identifiers and natural keys inside entities. Checks for consistency in ID usage across the data landscape
SubTable Profiler : Performs data profiling on subsets of tables.
File Profiler : Profiles delimited and flat files directly without loading them in a database.
Excel File Profiler : Profiles Microsoft Excel files directly without loading them in a database.
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 (Country Specific Objects) : Classifies information into semantic categories that are of relevance to a specific country.
Code Table Taxonomy Manager : Classifies those attributes that are associated with code tables.
Subtype Taxonomy Manager : Classifies those attributes that are associated with subtype information.
Taxonomy Manager (Person) : Classifies those attributes that are associated with person names and identifiers
Taxonomy Manager (Organization) : Classifies those attributes that are associated with organizational names and identifiers
Taxonomy Manager (Physical Addresses) : Classifies those attributes that are associated with location information and physical addresses.
Taxonomy Manager (Time) : Classifies those attributes that are associated with timestamp and calendar information.
Taxonomy Manager (Communication) : Classifies those attributes that are associated with communciation identifiers like phone numbers and email addresses.
Taxonomy Manager (Boolean) : Classifies those attributes that are associated with boolean information
Domain Classifier : Categorizes and organizes information to suit business needs.
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.
Table Comparer :  for comparing two tables across schemas and identifying similarities across attributes.
Column Comparer : for comparing two columns across tables and schemas.
Semantic Mapper : Maps together business related semantic domains across the data landscape.
Data Verification
Automatic quality verification of semantic domains
Multiple Verification modules to test each data value of each semantic domain against pre-defined sets of business rules.
Data Validation
Quality Measurement and monitoring of business data
Business Rule Manager : Sets business rules to validate data. Allows design and execution of multi-column business rules and monitors the results on a periodic basis.
Data Quality Control : Measures and monitors data quality using data quality controls and points out quality errors.
Data Stewardship
Configuration of RACI metrics
Multiple Stewardship modules to configure RACI metrics for Databases, Data Models, Semantic Objects and Domains.
Data Monitoring
Monitoring of data and metadata in data landscape
Multiple Monitoring modules to monitor changes in metadata, data and statistical profiling results of columns.
Data Modeling
Visualizing, planning and conceptualizing data structure, data storage and model business processes
Data Modeler : Creates and compares data models. Can import Erwin models.
XSD Modeler : Loads and classifies XSD files.
Data Mapper : Creates mappings between tables to facilitate ETL.
Business Process Modeler : Designs business processes graphically.
Vocabulary Builder : Scans data and finds out company specific terms that are important for the company.
Informatica PowerCenter Mapper : Imports mappings from Informatica PowerCenter.
Altova MapForce Mapper : Imports mappings from Altova MapForce.
Data Movement
Extraction Tranformation Load (ETL) for Semantic Data
Data Transformer : Aggregates Reference Data into Persistent Storage Areas for subsequent integration activities.
Staged Database Manager : Staging databases – i.e snapshots of databases are copied to be later utilized by profiling and classification activities
Data Standardization
Enrichment of company and individual information
Abilitec Enrichment Manager : Enriches Person information with Abilitec IDs.
Duns Enrichment Manager : Enriches company data with DUNs numbers.
Data Integration
Integration of Semantic Objects
ID Integrator : For Master Data Mapping, Integration and Analysis.
Business Architecture Modeler : For Modeling and Visualizing Business Architectures
Hierarchies
Management of data hierarchies
Hierarchy Manager : For analyzing and comparing hierarchies of Master Data.
Search
Web services on metadata, semantic domains and objects
Multiple modules provide web services to search landscape metadata, semantic domains and objects.
Data Analysis
Business Data Analysis and Visualization
Business Data Analyzer : For multi-dimensional analysis of Business Data.
Data Visualizer : For visual representation of data.
Metrics
Monitoring of Landscape, Information and Business Performance Metrics
Metrics Manager (Landscape, Information and Business) : For creation, analysis and monitoring of data management and business management metrics.

 

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