Using object-based semantic Using object based semantic vocabulary data models for Agile Business Intelligence data Business Intelligence, data governance, and system development

Agile Converged Governance, Business Intelligence, Data Discovery

D G ff P M l f k CEO Ph i S t IDr. Geoffrey P Malafsky, CEO, Phasic Systems Inc

DataStar™DataStarAgile Governance, BI, Data Discovery

Automatic NoSQL Object synchronization governance-live

system data models, codes

Semantic Vocabulary Key-Values

Integrates, lid t consolidates

multiple sources in different formats

with flexible ti li tsemantic alignment

BI & Governance at Business Speedp

60 Days to

DataStar™

yImplementation

DataStar

Knowledge loss, complicated,

expensive lengthy expensive, lengthy, poor quality

Predefined business information model o o od

makes it easy to capture uniform, clear

definitions and business l ti hi relationships.

Clear Presentation and Rapid Team Collaborationp

Business Information Model Drill Down

Governance Rules

Object Data Model Semantic VocabularyObject Data Model Semantic Vocabulary

DiscoveryDiscovery• Document policy, strategy, standards, system requirements• Manage multiple products in one coordinated system

(dimensional/relational data models, NoSQL object data models, semantic vocabulary, governance rules, predefined Business I f ti M d l XML h t d li t i t bilit Information Model, XML schema, master code lists, interoperability standards [XBRL, HL7, HRXML, NIEM..])

• Use Rapid Semantic Engineering templatesS h i / hit t t li d t t• Synchronize governance /architecture to live data systems

• Eliminate semantic conflicts and lengthy data cube and dimensional data modelingR d j t ti li f th t 6 d• Reduce project timelines from 12+ months to 60 days

• Align architecture to business issues• Exchange products with other systems with flexible import/export• Produce products conforming to major EA frameworks, and reports• Track project progress

Integration Model defining all sources, transforms, and semantic mappings to common

object data model semantic vocabulary with automatic consistency checks to live data auto at c co s ste cy c ec s to e data

systems. Diagrams of transform logic and ETL overview.

Governance Driven ETLG

Semantic Integration: ScalabilitySemantic Integration: Scalability

•Object orientedSemantic Vocabulary•Semantic Vocabulary

•Retrieval speedp▫Multi-tiered indexing▫Byte level random access and record ▫Byte level random access and record

level semantic search

BI D t A l iBI Data Analysis

BI Transform

UnifierUnifier• Integrates, consolidates, semantically unifies disparate

f d t d d t i t t t th A th it ti D tfederated data sources into trustworthy Authoritative Data• Combine flat files, RDBMS, XML • Flexible semantic mapping and ETL avoids rigid limitations of

standard data brokers, RDBs• Guarantees live data system –architecture synchronized• Uses object data model with extensible semantic vocabularyUses object data model with extensible semantic vocabulary▫ Never modify physical data model

• Web service API • Perform transactional record unification• Perform transactional record unification• High-performance scalable data server tier• Produce BI analyses on unified data and original data sources• Develop reusable BI transforms with fill-in templates

F th I f tiFurther Information

PSI Sales• PSI Sales▫ sales@phasicsystemsinc.com▫ 888-735-1774, ext 101735 774,

• Web site: http://www.phasicsystemsinc.com/prodservinfo.html

O i id▫ Overview video▫ Discovery Demonstration video▫ Unifier Demonstration video▫ Technical papers▫ Conference briefings