Phasic Systems Inc (PSI)

Agile Data Governance, Design, Aggregation

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Phasic Systems Inc• Product-based company established to tackle the toughest data

management problems.• Geoffrey Malafsky Ph.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

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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

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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)

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• Authoritative data• Leverage existing infrastructure• Timely, Agile, flexible• Meaningful analytics

DataStar™Suite

Users Data Modeling

IntegrationAnalytics/Reporting

Solution

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•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

DataStar: Agile Data Governance, Design, Aggregation

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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, …

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Agile Actionable Governance/Architecture

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Discovery Supports Governance Framework*Framework Component Discovery Support

Mission and Value

Goals, Governance, Metrics and Success Measures, and Funding Strategies

Data Rules and Definitions

Decision Rights

Accountabilities

Controls

Data Stakeholders

Data Governance Office

Data Stewards

Proactive, Reactive, and Ongoing Data Governance Processes

* Data Governance Institute Framework

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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

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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

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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

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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

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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)

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Further Information

• PSI Sales▫ sales@phasicsystemsinc.com▫888-735-1774

• Web site: http://www.phasicsystemsinc.com/prodservinfo.html▫Videos▫Technical papers▫Conference briefings