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Agile Enterprise Data Management: Terms, Models, Universal Warehouses
Phasic Systems Inc
www.phasicsystemsinc.com703-945-1378
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Phasic Systems Inc Management
• Geoffrey Malafsky, Ph.D, Founder and CEO▫Research scientist▫Supported many organizations in their quest to access the right
information at the right time• Tim Traverso, SVP Federal
▫Former Technical Director, Navy Deputy CIO• Kevin Moran VADM (Ret), COO
▫Former Deputy Chief of Naval Personnel• Marshall Maglothin, SVP HealthCare• Deborah Malafsky SVP Business Development
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Our Agile Methods
• Why be Agile?▫Provide flexibility and adaptability to changing business needs while
maintaining accuracy and commonality▫Segmented approach is too slow, rigid, and costly
• How?▫Treat data lifecycle as one continuous operation from governance to
modeling to integration to warehouses to Business Intelligence▫Emphasize value produced at each step and overall coordination▫Seamlessly fit with existing organization, procedures, tools but add Agility,
commonality, flexibility, and reduced cost and time• We are Agile and comprehensive
▫Typical 60-90 day engagement▫Deliver completed products not just plans or partial results
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Methods and Tools• DataStar Discovery: Agile system modeling, data modeling, data semantics
▫ Policy, governance, standards and design▫ Fully integrated metadata: each element, table includes attributes for
business, IT, and BI▫ Point-select data models, codes, rules, in Data Lifecycle Model▫ Easily build common term standards using all variations with clear
understanding of business use scope, meaning▫ Rapid collaborative agreement; line-of-sight to operations
• DataStar Unifier: Agile Implementation ▫ Agile warehousing and aggregation▫ Simplified, common semantics using Corporate NoSQL™▫ Aggregate data using all use case and system variations simply and easily
into standard or NoSQL databases▫ Universal warehouse with flexibility, extensibility, adaptability
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“As a COO of a Wall Street firm and a former US Navy Vice Admiral in charge of a large integrated organization of thousands of people and numerous IT systems, I have seen firsthand the critical role that high-quality enterprise data plays in day-to-day operations of an organization. Without timely access to reliable and trusted data all of our operations were vulnerable to poor decision making, weak performance, and a failure to compete. With Phasic Systems Inc.’s agile methodology and technology, we were finally able to solve our data challenges at a fraction of the time, cost, and organizational turmoil that all the previous and more expensive, time-consuming approaches failed to do.”
PSI Customer Testimonial: VADM (ret) J. “Kevin” Moran
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Agility Across the Data Life CycleTraditional►Slow (9-24 months)► Fractious (business,IT, BI)► Expensive► Inflexible► Poor practicalsemantic mapping
Agile EDM►Fast (1-3 months)► Coordinated (business, IT, BI)► Large decrease $► Flexible (daily)► Easy, adaptive semantic mapping
Products►Data models (all)► Unifying, concise Data System Model► Glossaries► Codes►Semantic mapping (data, XML,Legacy, SOA)► Feed MDM, BI► Universal Data Warehouse►Managed governance – integration - analytics
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Agile: Overcome Hurdles
• Group rivalry▫Embrace important business variations; recognize no valid reason to
force everyone to use only one view exclusively. • Terminology confusion
▫Use a guided framework of well-known concepts to rapidly identify, and implement variations as related entities.
• Poor knowledge sharing ▫Use integrated metadata where important products (business models,
data models, glossaries, code lists, and integration rules) are visible, coordinated, and referenceable
• Inflexible designs▫Use a hybrid approach (Corporate NoSQL™) for Agile warehousing and
integration blending traditional tables and NoSQL for its immense flexibility and inherent speed
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Data Meaning Not Just Metadata
Must be agile in order to adapt quickly to new business needs ▫Continuous change is norm: requirements, consolidation▫We must use all the important business variations of key terms (e.g.
account, client, policy) – No such thing as single version for all!
GovernanceDesign MDM
Integration
Which Value? Whose? My “customer” or your “customer”?
Sales, Accounting
CEO/CFO/CIO SAP/IBM/ORACLE
How is data used?
Ontologies
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Data System Model
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Real Estate Listing Example
•Seems simple and well-defined▫Each house has a type, id, address, etc..▫Industry standards: OSCRE, RETS
•Yet, data systems are very different▫Data model tied tightly to business workflow▫Extensions and “make-it-work” changes added over time
•Similar to customer relationship mgmt, ERP, and many other fields
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NKY HomeSeekers Texas
Main Hurdle to Enterprise Data Standards and Warehouse: Data Values Not Synchronized with Metadata
Different Meanings (Legal and Business Activities)
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Fully Integrated Metadata for Business, IT, and BI
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Corporate NoSQL™•NoSQL gives large systems flexibility & high performance
▫Simple key-value pairs: little data modeling▫ Inherent hardware performance: no database joins (10000x faster)▫But, poorly suited for corporate use – lacks connection to business
•Corporate NoSQLTM
▫Blends traditional techniques and NoSQL ▫Tables provide direct alignment to business concepts▫Key-value pairs eliminate need to delineate every attribute▫Business driven terminology in production model▫Easily handles semantic variations ▫Updates do not require changes to data models or physical stores
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Position Data Model
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Results•Applied to production data:
▫Fully cleaned & integrated data governance approved Requirement: 500,000 records in 2 hrs on Sun E25K Actual: 50 minutes on 3 year low-cost server
•Governance documents produced and approved▫Legacy data models – first time in ten years▫Common data model – directly derived from ontology.
Position-Resume model•Standing governance board created with short decision-
making monthly meetings▫Position-Resume Governance Board
•Process approach and technology applied to new IT systems