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Visualization of Complex Enterprise Systems 2013 Presentation Transcript

  • 1. ISA 2013Visualization of Complex Enterprise SystemsRahul C. BasoleBrandon BarnettIndustry Studies ConferenceMay 24, 2013
  • 2. 2© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Tools of Scientific DiscoveryMICROSCOPE TELESCOPE MACROSCOPE
  • 3. 3© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Business EcosystemGovernment Agencies &Other Regulatory BodiesTrade AssociationsLabor UnionsInvestorsCompeting Organizations having sharedproduct & service attributes, businessprocess and similar organizationsCompetitors SubstitutesExtended EnterpriseDirectCustomersCustomers ofmy CustomersSupplier of my SuppliersStandard BodiesSuppliers ofComplementary Products & ServicesThe Perils of Myopic ThinkingCore BusinessDirectSuppliersCoreContributorsDistributionChannelsSource: Moore 1997
  • 4. 4© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.…cba……cabca……………Tier-1 SuppliersTier-2 Suppliers…cba……cba………b…ca……………………………………………… … ……………………………………………………………MajorPartnersExample 1: Hidden Global RisksKey Issues• Poor/No Insight into Performanceand Capacity of Sub Tier Suppliers• Need for Better Enterprise RiskManagement CapabilitiesSource: Basole and Bellamy 2012
  • 5. 5© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Example 2: Failed Market OpportunitiesMarketOpportunityXSource: Barnett 2013X X XXXX
  • 6. 6© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Tools of Scientific DiscoveryMICROSCOPE TELESCOPE MACROSCOPE
  • 7. 7© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Source: Gray 2008Example of Systems
  • 8. 8© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Source: Gray 2008Example of Systems
  • 9. 9© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Source: Gray 2008Example of SystemsSource: Visualizing the U.S. Electric Grid, NPR, 2012
  • 10. 10© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.UniversityEnterprise as a System“An enterprise is a goal-directed organization of resources – human, information, financial, andphysical – and activities, usually of significant operational scope, complication, risk, andduration.” (Rouse 2005)ECompanyCorporationSupply ChainMarketGovernmentEcosystem
  • 11. 11© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Enterprise as a Complex Multi-Level System“A goal-directed organization of resources – human, information, financial, and physical – andactivities, usually of significant operational scope, complication, risk, and duration.”Intra-Level Information Flow & IncentivesInter-LevelInformationFlow &IncentivesEnterprise Ecosystem(Society)Delivery Operations(Processes)System Structure(Organizations)Work Practices(People)Source: Basole et al. 2011
  • 12. 12© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.What is the structure and dynamics ofcomplex enterprise systems?What is the impact on business models,strategies, and innovation?Research Interests
  • 13. 13© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.The Data Deluge: Opportunity and Challenge“Within this deluge of data lies a wealth of valuableinformation on how we conduct our businesses,governments, and personal lives. To put the informationto good use, we must find ways to explore, relate, andcommunicate the data meaningfully.”Heer et al. (2010)B2B B2C C2C
  • 14. 14© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.How do you utilize and leverage today’s tsunami ofavailable data sources to describe, make sense of, anddiscover the dynamics of complex enterprise systemsfor strategic intelligence and decision making?
  • 15. 15© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.• Sense Making• (Pattern) Discovery• Exploration• Analysis• Decision MakingVisualization“Presenting data via INTERACTIVE charts, graphs,maps so that users can understand the data, answerquestions about the data and gain insights from thedata” (Foley 2012)Amplify cognitive performance
  • 16. 16© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.The Art and Science of VisualizationSilicon Valley’s Inventor Network (2006)Website Traffic Map (2004) Terrorist Network for Madrid Bombing (2007) Map of Science (2007)Cologne Transportation Network (2008)Source: http://www.visualcomplexity.comGE Health InfoScape (2011)
  • 17. 17© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Consider Graph VisualizationsVisualization Challenges• Layout and positioning• Navigation/Interaction• ScaleAesthetic Considerations• Crossings• Total Edge Length• Area• Maximum Edge Length• Uniform Edge Lengths• Total BendsLayout Options• Hierarchical• Force-directed• Circular• Geographic-based• Clustered• Attribute-based• MatrixGraph Visualization IssuesNode• Shape• Color• Size• Location• LabelEdges• Color• Size• Label• Form
  • 18. 18© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Visualization Techniques
  • 19. 19© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.
  • 20. 20© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Visualization Process• Visual perception• Cognition• Motor skillsHumanAbilitiesDesignPrinciplesVisualizationTechniques• Visual display• Interaction• Graphs & plots• Maps• Trees & Networks• Volumes & Vectors• …imply inform• Frameworks• Data Types• TasksconstraindesignDesign Process• Iterative design• Design studies• Evaluation
  • 21. 21© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Enterprise System Phenomena• Structure• Dynamics• Complexity• Collaboration• Innovation• Change• Evolution• Transformation• Geography
  • 22. 22© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Illustrative ExampleInnovation Strategies in the Mobile Ecosystem
  • 23. 23© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.ConsumersServiceProvidersTier 1EnablersTier 2EnablersAuxiliary EnablersSocialContextEconomicContextTechnologyContextPoliticalContextMobileNetworkOperatorsSystemIntegratorsApplicationDevelopersSoftwareProvidersDeviceManufacturersNetwork &InfrastructureProvidersService &BillingProvidersContentProvidersSilicon Vendors &Other ComponentProvidersGameDevelopersMedia &EntertainmentProvidersPhotography &Digital ImagingCableProvidersInternetServiceProvidersProducts& ServicesConsumersSemiconductor& Other ElectronicsSupplierNetwork &InfrastructureEquipmentSupplierTelecommServiceProvidersService &BillingProviderConsumersComputerPeripheralsSupplierComputerSoftwareSupplierContentProvidersGovernmentSource: Basole and Rouse (2008)Product/Service ConvergenceMedia ConvergenceTechnological ConvergenceInfrastructure Convergence...Complex Enterprise Value Networks
  • 24. 24© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Plethora of New, Innovative Mobile Devices
  • 25. 25© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Battle of the Platforms2002 2004 2005 2006 2007 2008 2009 2010 2011 20122003Source: Basole and Karla (2011)
  • 26. 26© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Emergence of Apps & App Stores2002 2004 2005 2006 2007 2008 2009 2010 2011 20122003Source: Basole and Karla (2012)
  • 27. 27© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Source: iPhone 3G Teardown - Semiconductor Insights (2011)Mobile Technology: Not Invented Here
  • 28. 28© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Multiple, IntegratedData SourcesNovelMethodologyIllustrativeExamplesResearch ApproachECOSYSTEMSDC PLATINUM(EGO)SYSTEMIEN Data1 BOUNDARY SPECIFICATIONS2 METRIC DEV & ID3 INTERACTIVE ANALYSIS &VISUALIZATION
  • 29. 29© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Data SourcesSDC PLATINUMIEN DataSOURCETYPE OF DATAYEARS COVEREDProprietary, based on U.S. SEC data Open-Source based on socially-curateddata from news, press releases, andsocial mediaAlliance data (strategic, R&D,marketing, manufacturing, licensing,and supply) and status (active,terminated, pending) of public andprivate firms (37 SIC Codes, 4-digit)Relationship data of public and privateFirms, financial organizations,educational institutions, funding rounds,acquisitions, investments by individualsand companies1/1/1990 - 03/30/2012 1/1/1994 - 01/31/2012
  • 30. 30© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Converging Mobile EcosystemSource: Basole (2009)
  • 31. 31© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Converging Mobile Ecosystem: Segments ViewEdge Size is Proportional to the Sum of allRelationship Types between SegmentsSource: Basole (2009)
  • 32. 32© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Converging Mobile Ecosystem: EvolutionSource: Basole and Karla (2011)
  • 33. 33© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Egosystem: Nokia-MicrosoftData: SDC Platinum DataSource: Basole, Russell, Huhtamaki, Rubens (2012)Awarded Best Paper/Best Presentation at IEEE ICMB
  • 34. 34© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Egosystem: Nokia-MicrosoftData: SDC Platinum Datahttps://dl.dropbox.com/u/4026049/demo/2012/06-networks-icmb/index.htmlLaunch Interactive Version (Internet Connection Required)
  • 35. 35© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Egosystem: Nokia-MicrosoftData: IEN Data
  • 36. 36© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Egosystem: Google-MotorolaData: SDC Platinum Data
  • 37. 37© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Egosystem: Google-MotorolaData: IEN Data
  • 38. 38© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Venture Funding Network Structure
  • 39. 39© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Research Opportunities
  • 40. 40© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Enterprise Systems and Visual AnalyticsData-DrivenEnterprise&Deep(Actionable)Insights“Analytics is the scientific process of transforming data into insight for making better decisions”(INFORMS Analytics Magazine 2012)DomainSpecific DataSuppliers ● Customers ● Analysts ● CompetitorsInvestors ● Consultants ● Partners ● Media ● VendorsAnalytics &VisualizationEVolumeVelocityVarietyValueVeracityData Curation
  • 41. 41© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Theoretical FoundationEcosystemStructure & DynamicsEnterprise Science* Graph & Network TheoryVisualization, Analytics& Simulation
  • 42. 42© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.dotlink360: Interactive, Big-Data Enabled,Enterprise System AnalyticsSource: Basole et al. (2012)
  • 43. 43© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Data-driven visualization and analyticsof the structure and dynamics ofcomplex supply chain systemsComputationally explore the impact onbusiness models, strategies, andinnovationDescriptive System Analytics Prescriptive System Analytics
  • 44. Thank you.
  • 45. 45© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Supporting Slides
  • 46. 46© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Other Definitions• The use of computer-supported, interactive visual representations of datato amplify cognition (Card et al. 1998)• Transformation of the symbolic into the geometric (McCormick et al. 1987)• The depiction of information using spatial or graphical representations, tofacilitate comparison, pattern recognition, change detection, and othercognitive skills by making use of the visual system (Hearst 2003)
  • 47. 47© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Collaboration Networks
  • 48. 48© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Structure | Social Networks
  • 49. 49© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Map of the Markethttp://www.smartmoney.com/map-of-the-market/
  • 50. 50© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Geography
  • 51. 51© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.http://www.nature.com/nphys/journal/v8/n1/fig_tab/nphys2160_F4.htmlStructure | Twitter Networks
  • 52. 52© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.
  • 53. 53© Rahul C. Basole, PhD, School of Interactive Computing & Tennenbaum Institute, Georgia Tech, 2013.Source: Schweitzer et al. Science 2009