Agile Data Rationalization for Operational Intelligence


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The Briefing Room with Eric Kavanagh and Phasic Systems
Live Webcast Mar. 26, 2013

The complexity of today's information architectures creates a wide range of challenges for executives trying to get a strategic view of their current operations. The data and context locked in operational systems often get diluted during the normalization processes of data warehousing and other types of analytic solutions. And the ultimate goal of seeing the big picture gets derailed by a basic inability to reconcile disparate organizational views of key information assets and rules.

Register for this episode of The Briefing Room to learn from Bloor Group CEO Eric Kavanagh, who will explain how a tightly controlled methodology can be combined with modern NoSQL technology to resolve both process and system complexities, thus enabling a much richer, more interconnected information landscape. Kavanagh will be briefed by Geoffrey Malafsky of Phasic Systems who will share his company's tested methodology for capturing and managing the business and process logic that run today's data-driven organizations. He'll demonstrate how a “don't say no” approach to entity definitions can dissolve previously intractable disagreements, opening the door to clear, verifiable operational intelligence.


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Agile Data Rationalization for Operational Intelligence

  1. 1. The Briefing Room
  2. 2. Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.comTwitter Tag: #briefr The Briefing Room
  3. 3. Mission !   Reveal the essential characteristics of enterprise software, good and bad !   Provide a forum for detailed analysis of today s innovative technologies !   Give vendors a chance to explain their product to savvy analysts !   Allow audience members to pose serious questions... and get answers!Twitter Tag: #briefr The Briefing Room
  4. 4. JANUARY: Big Data February: Analytics March: Open Source April: IntelligenceTwitter Tag: #briefr The Briefing Room
  5. 5. Geoffrey Malafsky Dr. Geoffrey Malafsky earned a Ph.D. in Nanotechnology from Pennsylvania State University. He was a research scientist at the Naval Research Laboratory before becoming a technology consultant in advanced system capabilities for numerous Government agencies and corporate clients. He has over thirty years of experience and is an expert in multiple fields including Nanotechnology, Knowledge Discovery and Dissemination, and Information Engineering. He founded and operated the technology consulting company TECHi2 prior to founding Phasic Systems Inc., where he is the CEO and CTO.Twitter Tag: #briefr The Briefing Room
  6. 6. Agile Data Rationalization forOperational Intelligence Dr. Geoffrey Malafsky Phasic Systems Inc 703-945-1378
  7. 7. 2 Operational Intelligence and Data Rationalization•  Operational Intelligence uses real-time data collected from operating environments feeding analytical algorithms to detect and predict problems and efficiency opportunities•  It relies on and is vulnerable to: ▫  Data accuracy ▫  Data completeness•  Big Data is really 2 types: ▫  Lots of data used for statistical analysis – quality is not critical ▫  Lots of data used for deterministic analysis – quality is critical and high volume is limiting (CPU, storage, power)•  Garbage in à garbage out; Big Garbage in à Galaxy Class misinformation
  8. 8. 3Enabling Data Success•  Overcome typical obstacles that prevented success in the past: ▫  Organizational group rivalry , Terminology confusion , Poor knowledge sharing , Inflexible designs•  Rapidly build and manage data portfolio models that provides visibility on strategy, stakeholders, designs, systems with dependencies, linkages & analysis to operational data and metadata•  Fill the gap in identifying, understanding and practically implementing actual operational data versions with evolving standards and consolidation•  Distinguish, design, and implement similar, supposedly similar, and operationally distinct data•  Complement existing systems
  9. 9. Design Rationalization Issues System Rationalization Issues•  Multiple data models •  Multiple database systems•  Conflicting definitions •  Conflicting formats•  Similar, supposedly similar, •  Redundant storage operationally distinct values •  Unsynchronized values•  Unknown business logic •  Multiple integration points•  Multiple ETL mappings •  System performance
  10. 10. 5•  data values not metadata rule operations for application support, reporting, and decision making•  data values are out-of-synch with all forms of metadata•  data values conflict across data stores, organizational groups, and applications: syntactically (simplest case) and semantically (most difficult)•  top-down/bottom-up approaches have failed almost universally because they rely on metadata and silo-ed organizational groups to solve what is inherently interrelated, complex•  enterprise business goals are being hindered because of the poor data environment•  there is little impetus to correct this situation Different Meanings (Legal and Business Activities)NKY HomeSeekers Texas
  11. 11. 6Ψ-KORS Methodology: Data Rationalization and Portfolio Management•  Integrated Organization, Process, Technology•  Synchronize metadata and operational data•  Allow valid, multiple distinct versions of data entities•  Cycle time in days/weeks•  Correlated products
  12. 12. 7The Ψ–KORS™ System Model Point-select data models, codes, entities
  13. 13. Data Rationalization Design Rationalization System Rationalization •  Consolidated, adaptive data models •  Consolidated, adaptive systems •  Standardized definitions •  Common, interoperable formats •  Synchronized distinct operational values •  Common storage •  Managed business logic •  Synchronized interfaces •  Coordinated ETL mappings •  Coordinated integration •  Greater system performanceDataStar Discovery DataStar Unifier
  14. 14. 9Corporate NoSQL™ Position Data Model
  15. 15. Perceptions & Questions Analyst: Eric KavanaghTwitter Tag: #briefr The Briefing Room
  16. 16. The Information Oriented Architecture (IOA)Twitter Tag: #briefr The Briefing Room
  17. 17. Are We In the Data Tower of Babel?Twitter Tag: #briefr The Briefing Room
  18. 18. Replace ‘God’ with ‘Innovation’ and… God came down to see what they did and said: "They are one people and have one language, and nothing will be withheld from them which they purpose to do." "Come, let us go down and confound their speech." And so God scattered them upon the face of the Earth, and confused their languages, so that they would not be able to return to each other, and they left off building the city, which was called Babel "because God there confounded the language of all the Earth".[3]Twitter Tag: #briefr The Briefing Room
  19. 19. Modes of Transportation: ITwitter Tag: #briefr The Briefing Room
  20. 20. Modes of Transportation: IITwitter Tag: #briefr The Briefing Room
  21. 21. Modes of Transportation: IIITwitter Tag: #briefr The Briefing Room
  22. 22. Modes of Transportation: IVTwitter Tag: #briefr The Briefing Room
  23. 23. The New Reality: I !  Open-Source innovations are opening up whole new ways of capturing, storing and processing data; and many solutions are free, though you’ll need trained developers to use the free stuff !  Because the storage game has changed so much with Hadoop, you can now store massive amounts of granular detail, relatively cheaply !  Big Data represents a huge opportunity, but also a serious challenge for the business & ITTwitter Tag: #briefr The Briefing Room
  24. 24. The New Reality: II ! NoSQL Database technologies change the game due to greatly increased speed, among other characteristics !  Other innovations, including Massive Parallel Processing, Multi-Core Processors and In-Memory capabilities are also significant change agents !  This opens the door to a new kind of information architecture, with even real-time capabilitiesTwitter Tag: #briefr The Briefing Room
  25. 25. The New Reality: III !  The cost of software is in precipitous decline, as evidenced by any number of metrics !  In 2005, Microsoft quoted me $7,500 to host a one-hour Webcast !  In 2007, several vendors were offering pricing in the $1,500-per-Webcast space !  We now pay less than $500 per month for unlimited Webcasts with WebExTwitter Tag: #briefr The Briefing Room
  26. 26. !  What is the NoSQL engine you’re using?!  Could this replace both operational and analytical Master Data Management solutions?!  Is there any way to dynamically reconcile data models? Or must you manually do this?!  How do you deal with very old, “black box” legacy systems?!  Where would this sit in an information architecture? The Bloor Group
  27. 27. !  How do you deal with the User Adoption issue?!  What would a small, foothold-style engagement look like? What’s the low-hanging fruit?!  You have a fascinating case study involving the Navy and Human Resources Data. Can you describe?!  Some consultants, like Michael Haisten in the 1990s referred to an Enterprise Back Plane for data. That was very similar to what’s now called Data Virtualization. Do you see a comparison? The Bloor Group
  28. 28. Mariah, tacked up and ready to sleigh!
photo by pmarkham on Flickr

Mangapps Railway Museum - 2009
photo by Peter Taylor31

xLamborghini Countach, Diablo SV andMurciélago
photo by exfordy on Flickr

NASA SR-71B trainer after taking on fuel
photo by jamesdale10 on Flickr The Bloor Group
  29. 29. Twitter Tag: #briefr The Briefing Room
  30. 30. Thank You for Your AttentionTwitter Tag: #briefr The Briefing Room