Data-Ed: Unlocking business value through data modeling and data architecture Part II

1. TITLE Welcome: Data Modeling & Data Architecting for Business Value pt. 2 When asked why they are architec0ng data, many in the prac0ce answer: "Because that is what must be done." However, a be>er approach to this ques0on is to speak in terms that are understood in the execu0ve suite – business results! All of our organiza0ons are faced with various organiza0onal challenges that require analysis. Building new systems is just one example. This webinar describes the use of data architec0ng as a basic analysis method (one of many that good analysts should keep in their “toolbox"). I will demonstrate various uses of data architec0ng to inform, clarify, understand, and resolve aspects of a variety of business problems. As opposed to showing how to architect data, I will show how to use data architec0ng to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived u0lity of this analysis method in the eyes of the business. Date: February 12, 2013 Time: 2:00 PM ET Presented by: Peter Aiken, PhD PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 1 © Copyright this and previous years by Data Blueprint - all rights reserved!

2. Get Social With Us! TITLE Live Twitter Feed Like Us on Facebook Join the Group Join the conversation! www.facebook.com/ Data Management & Follow us: datablueprint Business Intelligence @datablueprint Post questions and Ask questions, gain insights comments and collaborate with fellow @paiken Find industry news, insightful data management Ask questions and submit content professionals your comments: #dataed and event updates. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 2 © Copyright this and previous years by Data Blueprint - all rights reserved!

3. Meet Your Presenter: Dr. Peter Aiken • Internationally recognized thought- leader in the data management field - 30 years of experience – Recipient of multiple international awards – Founder, Data Blueprint (http://datablueprint.com) • 7 books and dozens of articles • Experienced w/ 500+ data management practices in 20 countries • Multi-year immersions with organizations as diverse as the US DoD, Deutsche Bank, Nokia, Wells Fargo, the Commonwealth of Virginia and Walmart 3 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

4. TITLE Upcoming Special Event Leading the Data Asset Management Team: CDO or Top Data Job? Join Peter Aiken, Ph.D. and Micheline Casey for this interactive discussion on the role of Chief Data Officer (CDO) or Top Data Job (TDJ). Attendees will be presented with big ideas and alternative ways not only for how to think about the role of CDO/TDJ but also how to plan and establish a CDO/TDJ position at their organizations. This webinar is intended to provide viewers with deep insights from two data management thought leaders. March 19, 2013 @ 2:00 PM ET/11:00 AM PT Brought to you by: PRODUCED BY CLASSIFICATION DATA SLIDE 4 DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION © Copyright this and previous years by Data Blueprint - all rights reserved!

5. Data Modeling & Data Architecting for Business Value pt. 2 Peter Aiken: Data Modeling & Data Architecting for Business Value pt. 1 DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013

7. TITLE Agenda 1. What is Data Management/DAMA/DM BoK/CDMP? 2. Brief review of Part 1 3. What is Data/Information Architecture? 4. Why is Data/Information Architecture Important? 5. Data Engineering/Leverage 6. Example: Software Package Implementation 7. Example: Donation Center Processing 8. Example: Text Mining/Analytics Tweeting now: #dataed 9. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 7 © Copyright this and previous years by Data Blueprint - all rights reserved!

8. TITLE Five Integrated DM Practices #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 8 © Copyright this and previous years by Data Blueprint - all rights reserved!

9. TITLE Five Integrated DM Practices Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Assign responsibilities for data. Engineer data delivery systems. Data Support Operations Maintain data availability. #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 9 © Copyright this and previous years by Data Blueprint - all rights reserved!

10. Data Management Practices Hierarchy (after Maslow) • 5 Data Management Practices Areas / Data Management Basics • Are necessary but insufficient Advanced prerequisites to Data organizational data Practices leveraging • Cloud applications • MDM • Mining (that is Self Actualizing • Analytics Data or Advanced Data • Warehousing Practices) • Big Basic Data Management Practices – Data Program Management – Organizational Data Integration – Data Stewardship – Data Development – Data Support Operations http://3.bp.blogspot.com/-ptl-9mAieuQ/T-idBt1YFmI/AAAAAAAABgw/Ib-nVkMmMEQ/s1600/maslows_hierarchy_of_needs.png - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

11. TITLE Data Management Func-ons DAMA DM BoK & CDMP • Published by DAMA International – The professional association for Data Managers (40 chapters worldwide) – DMBoK organized around – Primary data management functions focused around data delivery to the organization (more at dama.org) – Organized around several environmental elements • CDMP – Certified Data Management Professional – DAMA International and ICCP – Membership in a distinct group made up of your fellow professionals – Recognition for your specialized knowledge in a choice of 17 specialty areas – Series of 3 exams – For more information, please visit: • http://www.dama.org/i4a/pages/index.cfm? pageid=3399 • http://iccp.org/certification/designations/cdmp #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 11 © Copyright this and previous years by Data Blueprint - all rights reserved!

13. TITLE Data Modeling for Business Value (REVIEW) • Goal must be shared IT/business understanding – No disagreements = insufficient communication • Data sharing/exchange is largely and highly automated and thus dependent on successful engineering – It is critical to engineer a sound foundation of data modeling basics (the essence) on which to build advantageous data technologies • Modeling characteristics change over the course of analysis – Different model instances may be useful to different analytical problems • Incorporate motivation (purpose statements) in all modeling – Modeling is a problem defining as well as a problem solving activity - both are inherent to architecture • Use of modeling is much more important than selection of a specific modeling method • Models are often living documents – The more easily it adapts to change, the resource utilization • Models must have modern access/interface/search technologies – Models need to be available in an easily searchable manner • Utility is paramount – Adding color and diagramming objects customizes models and allows for a more engaging and enjoyable user review process Inspired by: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2 PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 13 © Copyright this and previous years by Data Blueprint - all rights reserved!

15. Data Architecture Management from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International 15 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

16. TITLE PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 16 © Copyright this and previous years by Data Blueprint - all rights reserved!

17. TITLE Levels of Abstraction, Completeness and Utility • Models more downward facing - detail • Architecture is higher level of abstraction - integration • In the past architecture attempted to gain complete (perfect) understanding – Not timely – Not feasible • Focus instead on architectural components – Governed by a framework – More immediate utility • http://www.architecturalcomponentsinc.com PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 17 © Copyright this and previous years by Data Blueprint - all rights reserved!

18. Architecture TITLE Architecture is both the process and product of planning, designing and constructing space that reflects functional, social, and aesthetic considerations. A wider definition may comprise all design activity from the macro-level (urban design, landscape architecture) to the micro-level (construction details and furniture). In fact, architecture today may refer to the activity of designing any kind of system and is often used in the IT world. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 18 © Copyright this and previous years by Data Blueprint - all rights reserved!

19. Architecture Representation TITLE • Architectures are the symbolic representation of the structure, use and reuse of resources • Common components are represented using standardized notation • Are sufficiently detailed to permit both business analysts and technical personnel to separately read the same model, and come away with a common understanding and yet they are developed effectively PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 19 © Copyright this and previous years by Data Blueprint - all rights reserved!

20. Understanding • A specific definition – 'Understanding an architecture' – Documented and articulated as a digital blueprint illustrating the commonalities and interconnections among the architectural components – Ideally the understanding is shared by systems and humans 20 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

21. TITLE Typically Managed Architectures • Process Architecture – Arrangement of inputs -> transformations = value -> outputs – Typical elements: Functions, activities, workflow, events, cycles, products, procedures • Systems Architecture – Applications, software components, interfaces, projects • Business Architecture – Goals, strategies, roles, organizational structure, location(s) • Security Architecture – Arrangement of security controls relation to IT Architecture • Technical Architecture/Tarchitecture – Relation of software capabilities/technology stack – Structure of the technology infrastructure of an enterprise, solution or system – Typical elements: Networks, hardware, software platforms, standards/protocols • Data/Information Architecture – Arrangement of data assets supporting organizational strategy – Typical elements: specifications expressed as entities, relationships, attributes, definitions, values, vocabularies PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 21 © Copyright this and previous years by Data Blueprint - all rights reserved!

22. TITLE Information Architectures • The underlying (information) design principals upon which construction is based – Source: http://architecturepractitioner.blogspot.com/ • … are plans, guiding the transformation of strategic organizational information needs into specific information systems development projects – Source: Internet • A framework providing a structured description of an enterprise’s information assets — including structured data and unstructured or semistructured content — and the relationship of those assets to business processes, business management, and IT systems. – Source: Gene Leganza, Forrester 2009 • "Information architecture is a foundation discipline describing the theory, principles, guidelines, standards, conventions, and factors for managing information as a resource. It produces drawings, charts, plans, documents, designs, blueprints, and templates, helping everyone make efficient, effective, productive and innovative use of all types of information." – Source: Information First by Roger & Elaine Evernden, 2003 ISBN 0 7506 5858 4 p.1. • Defining the data needs of the enterprise and designing the master blueprints to meet those needs – Source: DM BoK PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 22 © Copyright this and previous years by Data Blueprint - all rights reserved!

23. What do you use an information architecture for? 23 - datablueprint.com Illustration by murdock23 @ http://designfestival.com/information-architecture-as-part-of-the-web-design-process/ 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

24. Data Architecture – Better Definition TITLE • Common vocabulary expressing integrated requirements ensuring that data assets are stored, arranged, managed, and used in systems in support of organizational strategy* • All organizations have *Source: Aiken 2010 information architectures • Some are better understood and documented (and therefore more useful) than others PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 24 © Copyright this and previous years by Data Blueprint - all rights reserved!

26. How one inventory item proliferates data throughout the chain 555 Subassemblies & subcomponents System 1: 18,214 Total items 75 Attributes/ item 1,366,050 Total 17,659 Repair parts or Consumables attributes System 2 System 3 System 4 System 5 47 Total items 16,594 Total items 8,535 Total items 15,959 Total items 15+ Attributes/item 73 Attributes/item 16 Attributes/item 22 Attributes/item 720 Total attributes 1,211,362 Total 136,560 Total attributes 351,098 Total attributes Total for the five systems show above: 59,350 Items 179 Unique attributes 3,065,790 values - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

27. TITLE Business Value • Agency units are carrying $1.5 billion worth of expired inventory – Generates unnecessary costs and negative impacts on operations, including: • Mission Readiness • Storage • Handling • Opportunity • Systemic • Maintenance PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 27 © Copyright this and previous years by Data Blueprint - all rights reserved!

29. Why Architectural Models? • Would you build a house without an • Model is the sketch of the system to architecture sketch? be built in a project. • Would you like to have an estimate • Your model gives you a very good how much your new house is going to idea of how demanding the cost? implementation work is going to be! • If you hired a set of constructors from • Model is the common language for the all over the world to build your house, project team. would you like them to have a common language? • Would you like to verify the proposals • Models can be reviewed before of the construction team before the thousands of hours of implementation work gets started? work will be done. • If it was a great house, would you like • It is possible to implement the system to build something rather similar again, to various platforms using the same in another place? model. • Would you drill into a wall of your • Models document the system built in a house without a map of the plumbing project. This makes life easier for the and electric lines? support and maintenance! 29 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

30. TITLE Architecture Examples: Bad PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 30 © Copyright this and previous years by Data Blueprint - all rights reserved!

33. TITLE Polling Question #1 Do you believe that your organization has a solid data architectural foundation on which to build their IT projects? a) Yes b) No PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 33 © Copyright this and previous years by Data Blueprint - all rights reserved!

34. TITLE Polling Question #2 Do you believe that your organization is capable of building a solid data architectural foundation on which to build their IT projects? a) Yes b) No PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 34 © Copyright this and previous years by Data Blueprint - all rights reserved!

35. TITLE Context Diagrams Show System Boundaries PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 35 © Copyright this and previous years by Data Blueprint - all rights reserved!

36. Too Much Detail TITLE PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 36 © Copyright this and previous years by Data Blueprint - all rights reserved!

37. Web Developers Understand IA TITLE http://www.jeffkerndesign.com PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 37 © Copyright this and previous years by Data Blueprint - all rights reserved!

38. Web Developers Understand IA TITLE http://www.jeffkerndesign.com PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 38 © Copyright this and previous years by Data Blueprint - all rights reserved!

39. Database Architecture Focus TITLE Program D Program G Application Program E Application Program H domain 2 domain 3 Program F Program I #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 39 © Copyright this and previous years by Data Blueprint - all rights reserved!

40. TITLE Data Architecture Focus has poten-ally greater Business Value #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 40 © Copyright this and previous years by Data Blueprint - all rights reserved!

41. A Model Specifying Relationships Among Important Terms Wisdom & knowledge are often used synonymously Intelligence Data Information Use Data Data Request Data Data Fact Meaning Data Data 1. Each FACT combines with one or more MEANINGS. 2. Each specific FACT and MEANING combination is referred to as a DATUM. 3. An INFORMATION is one or more DATA that are returned in response to a specific REQUEST 4. INFORMATION REUSE is enabled when one FACT is combined with more than one MEANING. 5. INTELLIGENCE is INFORMATION associated with its USES. [Built on definition by Dan Appleton 1983] 41 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

42. How are data structures expressed as architectures? • Details are A B organized into larger C D components • Larger A B components C are organized ? D into models • Models are A B organized into architectures D 42 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

44. TITLE How are Data Models Expressed as Architectures? • Attributes are organized into entities/objects – Attributes are characteristics of "things" – Entitles/objects are "things" whose information is managed in support of strategy – Examples • Entities/objects are organized into models – Combinations of attributes and entities are structured to represent information requirements – Poorly structured data, constrains organizational information delivery capabilities – Examples • Models are organized into architectures – When building new systems, architectures are used to plan development – More often, data managers do not know what existing architectures are and - therefore - cannot make use of them in support of strategy implementation – Why no examples? #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 44 © Copyright this and previous years by Data Blueprint - all rights reserved!

45. How do data structures support organizational strategy? • Consider the opposite question? – Were your systems explicitly designed to be integrated or otherwise work together? – If not then what is the likelihood that they will work well together? – In all likelihood your organization is spending between 20-40% of its IT budget compensating for poor data structure integration – They cannot be helpful as long as their structure is unknown • Two answers – Achieving efficiency and effectiveness goals – Providing organizational dexterity for rapid implementation 45 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

46. TITLE What Questions Can Architectures Address? • How and why do the Human resources components interact? Policies, directives, • Where do they go? and rules • When are they needed? • Why and how will the changes be Communication facilities implemented? • What should be Computers managed organization- wide and what should be Management managed locally? responsibilities • What standards should be adopted? Software Data • What vendors should be chosen? • What rules should govern the decisions? • What policies should guide the process? PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 46 © Copyright this and previous years by Data Blueprint - all rights reserved!

47. TITLE Data Architectures produce and are made up of information models that are developed in response to organizational needs satisfy specific organizational needs Organizational Needs become instantiated and integrated into an Data/Information Architecture authorizes and ! articulates ! ! ! Informa(on)System) Requirements #dataed PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 47 © Copyright this and previous years by Data Blueprint - all rights reserved!

48. TITLE Polling Question #3 • Our organization is using enterprise data modeling to achieve integration – a) Yes – b) No PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 48 © Copyright this and previous years by Data Blueprint - all rights reserved!

49. TITLE Polling Question #4 • Our organization should be using enterprise data modeling to achieve integration – Yes – No PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 49 © Copyright this and previous years by Data Blueprint - all rights reserved!

51. T s RO s Process Le Data Leverage Technologies People • Data Leverage permits organizations to better manage their most powerful yet under-utilized, poorly managed, durable asset - data – within the system and – with organizational data exchange partners. • Leverage is obtained by implementation of data-centric technologies, processes, and human skill sets. • Leverage is increased by elimination of data ROT (redundant, obsolete, or trivial) • Treating data more asset-like simultaneously 1. lowers organizational IT costs and 2. increases organizational knowledge worker productivity 51 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

53. Application-Centric Development • In support of strategy, the organization develops specific goals/objectives • The goals/objectives drive the Strategy development of specific systems/ applications • Development of systems/applications Goals/Objectives leads to network/infrastructure requirements • Data/information are typically Systems/Applications considered after the systems/ applications and network/ infrastructure have been articulated • Problems with this approach: Network/Infrastructure – This ensures that data is formed around the application and not the organizational information requirements Data/Information – Process are narrowly formed around applications – Very little data reuse is possible Original articulation from Doug Bagley @ Walmart 53 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

54. Data-Centric Development Flow • In support of strategy, the organization develops specific goals/objectives • The goals/objectives drive the Strategy development of specific data/ information assets with an eye to organization-wide usage Goals/Objectives • Network/infrastructure components are developed to support organization- wide use of data Data/Information • Development of systems/applications is derived from the data/network architecture • Advantages of this approach: Network/Infrastructure – Data/information assets are developed from an organization-wide perspective – Systems support organizational Systems/Applications data/information needs and compliment organizational process flows – Data/information reuse is maximized Original articulation from Doug Bagley @ Walmart 54 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

55. TITLE Why is Data Architecture Important? • Poorly understood – Data architecture asset value is not well understood • Inarticulately explained – Little opportunity to obtain learning and experience • Indirectly experienced – Cost organizations millions each year in productivity/redundant and siloed efforts – Example: Poorly thought out software purchases PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 55 © Copyright this and previous years by Data Blueprint - all rights reserved!

56. Architectural Work Product Components may be defined as: • The intersection of common business functionality and the subsets of the organizational technology and data architectures used to implement that functionality • Component definition is an important activity because CM2 component engineering is focused on an entire component as an analysis unit. A concrete example of a component might be – the business processes, the technology and the data supporting organizational human resource benefits operations. This same component could be described simply as the "PeopleSoft™ version 7.5 benefits module implemented on Windows 95." illustrates the integration of the three primary PeopleSoft metadata structures describing the: business processes used to organization the work flow, menu navigation required to access system functionality, and data which when combined with meanings provided by the panels provided information to the knowledge workers. 56 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

58. Hierarchical System Functional Decomposition System Process Process Process Process 1 2 3 Subprocess Subprocess Subprocess 1.1 1.2 1.3 58 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

59. L evel 1 L evel 2 L evel 3 P ay E mployment Recruitment and Selection personnel P ersonnel E mployee relations administration E mployee compensation changes Salary planning A three-level Classification and pay decomposition of J ob evaluation Benefits administration the model views Health insurance plans from the F lexible spending accounts G roup life insurance governmental pay Retirement plans and personnel P ayroll P ayroll administration P ayroll processing scenario P ayroll interfaces Development N/A Training Career planning and skills administration inventory Work group activities Health and Accidents and workers safety compensation Health and safety programs 59 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

60. H ea lth ca r e system 1 Patient administration 1.1 R egistration 6 R adiology 1.2 Admission 6.1 Scheduling 1.3 Disposition 6.2 E xam processing 1.4 Transfer 6.3 E xam reporting 1.5 M edical record 6.4 Special interest and 1.6 Administration teaching 1.7 Patient billing 6.5 R adiology workload 1.8 Patient affairs reporting 1.9 Patient management 7 C linical dietetics 2 Patient appointments 7.1 E stablish parameters and scheduling 7.2 R eceive diet orders 2.1 C reate or maintain 2.2 schedules Appoint patients 8 8.1 Order entry and r esults R eporting A relatively 8.2 E nter and maintain 2.3 2.4 2.5 R ecord patient encounter I dentify patient I dentify health care 8.3 orders Obtain results complex model 3 provider Nursing 8.4 8.5 R eview patient information C linical desktop view 3.1 3.2 Patient care U nit management 9 System management decomposition 9.1 Logon and security 4 Laboratory management 4.1 R esults reporting 9.2 Archive run 4.2 Specimen processing M anagement 4.3 R esult entry processing 9.3 C ommunication software 4.4 Laboratory management 9.4 M anagement 4.5 Workload support 9.5 Site management 5 Pharmacy 10 F acility quality assurance 5.1 U nit dose dispensing 10.1 Provider credentialing 5.2 C ontrolled Drug 10.2 M onitor and evaluation I nventory 5.3 Outpatient 60 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

61. TITLE Polling Question #5 • My organization uses the following approaches to achieve organizational integration A)Organizational data modeling B)Creates point to point interconnectivity C)Distributed systems implementation D)My organization is not following a programmatic approach to integration PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 61 © Copyright this and previous years by Data Blueprint - all rights reserved!

63. Challenge Package Implementation Example • "Green screen" legacy system to be replaced with Windows Icons Mice Pointers (WIMP) interface; and • Major changes to operational processes – 1 screen to 23 screens • Management didn't think workforce could adjust to simultaneous changes – Question: "How big a change will it be to replace all instances of person_identifier with social_security_number?" • Answer: – (from "big" consultants) "Not a very big change." 63 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

64. PeopleSoft Process Metadata Home Page Name Home Page (relates to one or more) Business Process Name Business Process Name (relates to one or more) Business Process Business Process Component Name Component (relates to one or more) Business Process Business Process Component Step Name Component Step 64 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

66. processes homepages menugroups (39) (7) (8) (41) (8) (182) Peoplesoft Metadata Structure (86) components stepnames menunames (180) (822) (86) (949) (847) (281) panels menuitems menubars (1421) (1149) (31) (1916) (1259) (25906) (5873) (264) fields records parents (7073) (2706) (264) (708) (647) • Home Page Name • Business Process Name (347) (647) • Business Process Component Name reports children • Business Process Component Step Name (347) 66 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved! (647)

67. Business Value - Better Decisions Quantity System Time to make Labor Hours Component change 1,400 Panels 15 minutes 350 1,500 Tables 15 minutes 375 984 Business 15 minutes 246 process component steps Total 971 X $200/hour $194,200 X 5 upgrades $1,000,000 67 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

69. A National Cancer Institute • This Virginia cancer center is a leader in shaping the fight against cancer • Over 500 researchers and staff tend to over 12,000 patients annually • This requires robust information management and analytical services • The problem: It takes 1 month to run a report on an incident, i.e. a patient’s hospital visit that shows all touch points 69 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

70. Current State Assessment SQ SA SQ Hospital L SQ S Text SQ Claims L Claims Files FTP Access FTP L L Database Physician SA Invoices S SQ L Cancer File Text FTP or Files Email Registry Export Excel Other Departments Word Word Word Excel Patient Patient (Hospital) (Physician) Patient (Registry) Billing Data Diagnoses Billing Data Diagnoses (Hospital) (Hospital) (Physician) (Physician) Diagnoses (Registry) Physicians Physicians (Hospital) (Physician) 7 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

71. Conceptual Target Architecture SSI SSI Hospital Claims S S SSA S Physician SSI SSI Consolidated/ S Staging S Invoices Sandbox Re SharePoint usa Cancer SSI ble rep SSR Excel Registry S o rt s S Email One -o ff re p orts RP T Other Departments Patient (Consolidated) Diagnoses Patient (Hospital) Demographics Diagnoses Diagnoses Billing Data Physicians (Consolidated) (Physician) (Hospital) (Hospital) Physicians (Consolidated) Diagnoses Billing Data Physicians (Registry) (Physician) (Physician) 10 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

72. Business Value - Improving Productivity Manipulation Analysis 100 75 50 25 0 Current Improved • Currently: – Analysts spend 80% of their time manipulating data and 20% of their time analyzing data – Used to take 1 month to produce key reports • After rearchitecting: – Analysts spend 20% of their time manipulating data and 80% of their time analyzing data – Two days to produce key reports 72 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

73. Rough Estimates on Improvements to Modeling Analyses 100% • Modelers/analysts are 80% 1 expensive knowledge 60% 2 workers 40% • 80% of their time is spent 20% 3 searching for information 0% • 20% of their time is spent 80% 60% Searching 40% 20% Analysis acting on the retrieved information • An improvement of 25% (from 80% search to 60%) could yield a doubling of modeler/analyst productivity - a 10 to one payoff • A 75% improvement (from 80% search to 20%) could yield a 5 X improvement ... • ... and a similar multiplier implying the opportunity for 10X (OOM) improvements in systems development time 73 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

75. Engineering/ Architecting Relationship • Architecting is used to create and build systems too complex to be treated by engineering analysis Engineering alone • Architects require technical details as the Architecture exception • Engineers develop the technical designs • Craftsman deliver components supervised by: – Building Contractor 75 - datablueprint.com – Manufacturer 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

76. What is this? • It is tall USS Midway • It has a clutch & Pancakes • It was built in 1942 • It is still in regular use! 76 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

77. Text Mining/Analytics Example • Challenge – Millions of NSN/SKUs maintained in a catalog – Key and other data stored in clear text/comment fields – Original suggestion was manual approach to text extraction – Left the data structuring problem unsolved • Solution – Proprietary, improvable text extraction process – Converted non-tabular data into tabular data – Saved a minimum of $5 million – Literally person centuries of work 77 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

78. The Business Value of Diminishing Returns Unmatched Ignorable Items Items Items Matched Week # (% Total) (% Total) (% Total) 1 31.47% 1.34% N/A 2 21.22% 6.97% N/A 3 20.66% 7.49% N/A 4 32.48% 11.99% 55.53% … … … … 14 9.02% 22.62% 68.36% 15 9.06% 22.62% 68.33% 16 9.53% 22.62% 67.85% 17 9.50% 22.62% 67.88% 18 7.46% 22.62% 69.92% 78 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

79. Business Value - Quantitative Benefits Time needed to review all NSNs once over the life of the project: NSNs 2,000,000 Average time to review & cleanse (in minutes) 5 Total Time (in minutes) 10,000,000 Time available per resource over a one year period of time: Work weeks in a year 48 Work days in a week 5 Work hours in a day 7.5 Work minutes in a day 450 Total Work minutes/year 108,000 Person years required to cleanse each NSN once prior to migration: Minutes needed 10,000,000 Minutes available person/year 108,000 Total Person-Years 92.6 Resource Cost to cleanse NSN's prior to migration: Avg Salary for SME year (not including overhead) $60,000.00 Projected Years Required to Cleanse/Total DLA Person Year 93 Saved Total Cost to Cleanse/Total DLA Savings to Cleanse NSN's: $5.5 million 79 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

81. TITLE Take Aways • What is an information architecture? – A structure of data-based information assets supporting implementation of organizational strategy (or strategies) – Most organizations have data assets that are not supportive of strategies - i.e., information architectures that are not helpful – The really important question is: how can organizations more effectively use their information architectures to support strategy implementation? • What is meant by use of an information architecture? – Application of data assets towards organizational strategic objectives – Assessed by the maturity of organizational data management practices – Results in increased capabilities, dexterity, and self awareness – Accomplished through use of data-centric development practices (including taxonomies, stewardship, and repository use) • How does an organization achieve better use of its information architecture? – Continuous re-development; the starting point isn't the beginning – Information architecture components must typically be reengineered – Using an iterative, incremental approach, typically focusing on one component at a time and applying formal transformations PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 81 © Copyright this and previous years by Data Blueprint - all rights reserved!

82. TITLE Questions? + = It’s your turn! Use the chat feature to submit your questions to Peter now. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 82 © Copyright this and previous years by Data Blueprint - all rights reserved!

Data-Ed: Unlocking business value through data modeling and data architecture Part II

Estás leyendo una previsualización.

Eche un vistazo a continuación

Data-Ed: Unlocking business value through data modeling and data architecture Part II

Más Contenido Relacionado

Presentaciones para usted (20)

A los espectadores también les gustó (13)

Similares a Data-Ed: Unlocking business value through data modeling and data architecture Part II (20)

Más de Data Blueprint (20)

Más reciente (20)