1. Using object-based semantic
object based
vocabulary data models for Agile
Business Intelligence data
Intelligence,
governance, and system
development
Agile Converged Governance, Business Intelligence,
Data Discovery
Dr. Geoffrey P Malafsky, CEO Phasic Systems Inc
D G ff M l f k CEO, Ph i S t I

2. Agile Governance, BI, Data Discovery
DataStar
DataStar™

3. NoSQL Object Automatic
Semantic Vocabulary synchronization
Key-Values governance-live
system data
models, codes
Integrates,
consolidates
lid t
multiple sources in
different formats
with flexible
semantic alignment
ti li t

4. BI & Governance at Business Speed
p
60 Days to
y
Implementation
DataStar
DataStar™
Knowledge loss,
complicated,
expensive, lengthy,
expensive lengthy
poor quality

5. Predefined business
information model
o o od
makes it easy to capture
uniform, clear
definitions and business
relationships.
l ti hi

6. Clear Presentation and Rapid Team Collaboration
p

7. Business Information Model Drill Down

8. Governance Rules

9. Object Data Model Semantic Vocabulary

10. Discovery
• 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
Information M d l XML schema, master code li t i t
I f ti Model, h t d lists, interoperability
bilit
standards [XBRL, HL7, HRXML, NIEM..])
• Use Rapid Semantic Engineering templates
• S
Synchronize governance / hit t
h i /architecture t li d t systems
to live data t
• Eliminate semantic conflicts and lengthy data cube and dimensional
data modeling
• R d
Reduce project ti li
j t timelines from 12+ months to 60 days
f th t 6 d
• 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

11. Integration Model defining all sources,
transforms, and semantic mappings to common
object data model semantic vocabulary with
auto at c consistency checks
automatic co s ste cy c ec s to live data
e
systems. Diagrams of transform logic and ETL
overview.

12. G
Governance Driven ETL

13. Semantic Integration: Scalability
• Object oriented
• Semantic Vocabulary
• Retrieval speed
p
▫ Multi-tiered indexing
▫ Byte level random access and record
level semantic search

14. BI D t A l i
Data Analysis

15. BI Transform

16. Unifier
• Integrates, consolidates, semantically unifies disparate
federated data
f d t d d t sources into t t
i t trustworthy A th it ti D t
th 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 vocabulary
▫ Never modify physical data model
• Web service API
• 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

17. Further Information
F th I f ti
• PSI Sales
▫ sales@phasicsystemsinc.com
▫ 888-735-1774, ext 101
735 774,
• Web site:
http://www.phasicsystemsinc.com/prodservinfo.html
▫ O
Overview video
i id
▫ Discovery Demonstration video
▫ Unifier Demonstration video
▫ Technical papers
▫ Conference briefings