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Phasic Systems Inc (PSI)

Phasic Systems Inc (PSI). Agile Data Governance, Design, Aggregation. Phasic Systems Inc. Product-based company established to tackle the toughest data management problems. Geoffrey Malafsky Ph.D , CEO Research scientist

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Phasic Systems Inc (PSI)

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  1. Phasic Systems Inc (PSI) Agile Data Governance, Design, Aggregation

  2. Phasic Systems Inc • Product-based company established to tackle the toughest data management problems. • Geoffrey MalafskyPh.D, CEO • Research scientist • Supported many agencies in their quest to access the right information at the right time • Maribel Soto, Ph.D, COO • Research scientist • As Director of SwampWorks led the transition of breakthrough technologies for the Navy • Tim Traverso, VP Federal • Technical Director, Navy Deputy CIO

  3. Problem Statement • Analytics depends on consistency, commonality • Too much data dispersed over many systems • Data cannot be readily aggregated due to conflicting meanings and lack of documentation • Cannot achieve enterprise analytics without using new approaches and tools • Cannot transition to Cloud without new approaches and tools for data management

  4. Options • Status quo: non-Agile data design, management and integration - expensive, time-consuming because requires brute-force • Current tools • Data modeling: ERWIN, Oracle, XML, Semantics • Integration: Informatica, IBM DataStage • Analytics/Reporting: Cognos, Microstrategy • DataStar: efficient, cost effective because uses Agile business-centric modeling, integration with existing systems and simplified, evolutionary transition to new technologies (e.g. NoSQL)

  5. Solution DataStar™Suite • Authoritative data • Leverage existing infrastructure • Timely, Agile, flexible • Meaningful analytics Users Data Modeling Analytics/ Reporting Integration

  6. DataStar: Agile Data Governance, Design, Aggregation • Born out of experience – Navy, NGA, DOT, USMC • Organizations are unable to capitalize on data due to multiple versions with conflicting meanings • Global Force Mgmt, DIMHRS • Rigid methods of data management are compounding the problem with isolated business areas and processes • Needed a solution that was • Rapid and flexible – used Agile technology • Understandable to all – made it easy to learn • Able to simply handle all business variations – used standards-based simplified semantics

  7. Capabilities • DataStar Discovery: Agile data governance and design • Re-add business context to data • Flexible, common data definitions/ semantics, models • DataStar Discovery Plus: Agile warehousing and aggregation • Simplified, common semantics in flexible data models • Source to target mapping for existing ETL tools • DataStar Adapter: Managed high-performance data exchange service for XML standards • NIEM, HL7, XBRL, …

  8. Agile Actionable Governance/Architecture

  9. Discovery Supports Governance Framework* * Data Governance Institute Framework

  10. The Semantic Moat • Semantics means data’s actual meaning • This is NOT the same as database metadata (table and element names) • When is a “customer” not a “customer” ? • When Sales, Accounting, Product Development, CEO, (SAP, IBM, Oracle, ….) use it in their systems • Why can’t these be consolidated into one common definition ? • Strong disincentives to give up control of definitions, system control, peer prestige • Complexity of evolving integrated business-technology-organization perspectives

  11. Unified Business Model: Add Business Context to Data Definitions KORS™ • Simple list-based • Use all related information • Predefined template • Team collaborative centric • Automated analyses • Semantic similarity • Data tracing • System connections

  12. Case Study #1 – Navy Data Strategy • Problem: Large organization, dispersed mgmt, data is redundant, conflicting, difficult to govern and consolidate • Previous approaches: 10 years of organizational policies and structures (e.g. Functional Data Mgrs), and warehouse development could not solve problem • Solution – Used DataStar Facilitated Agile Governance and modeling • Results – 90 days, achieved new Data Strategy with concrete process, definitions, metrics and widespread consensus • Customer Reaction – “We accomplished more in three months with DataStar than we did in the past three years.“ DONCIO

  13. Case Study #2 – Genentech • Problem: Data could not be integrated from SAP system, in-house marketing, and external regulatory data • Solution – Used Datastar Agile modeling and integration • Results – 1 week, consolidated data with common data semantics without impacting original systems

  14. Case Study #3 – Navy HR Data • Problem: 5 major warehouses for 1 million HR records. Conflicting data, unable to consolidate, undocumented business context, brute force approaches don’t scale • Solution – Used DataStar Agile warehousing & integration • Results – Agilely implemented common data model built on simplified, stds-based definitions accommodating all business variations; built subject matter-based integration transforms; automatically integrated, de-duplicated, cleansed data into Authoritative data stores • Customer Reaction – Data model accepted as standard with standing Governance renamed for it (Position-Resume Governance Board). Only consolidated data approved as trustworthy – VADM K. Moran (Ret)

  15. Further Information • PSI Sales • sales@phasicsystemsinc.com • 888-735-1774 • Web site: http://www.phasicsystemsinc.com/prodservinfo.html • Videos • Technical papers • Conference briefings

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