Muzaffer YÖNTEMmuzaffer.yontem@sybase.com.trHttp://www.muzaffer.yontem.comTwitter: @myontemLinkedin ProfileBusiness Analyt...
Data is the new oil ?Source:www.platon.net
Typical Any CompanySource:SAP AG
Core BusinessApps (ERP)Typical Any CompanySource:SAP AG
RUNTypical Any CompanyOPERATIONALSource:SAP AG
RUNTypical Any CompanyCore BusinessApps (ERP)OPERATIONALSource:SAP AG
RUNTypical Any CompanyOPERATIONALERPCustomersEmployeesStuffSuppliers+ LoBSource:SAP AG
RUNTypical Any CompanyOPERATIONALERPCRMHCMSCMSRM+ LoBSource:SAP AG
RUNYour CompanyOPERATIONALERPCRMHCMSCMSRM+ LoBSource:SAP AG
Your CompanyUNDERSTANDSource:SAP AG
Your CompanyANALYTICSUNDERSTANDSource:SAP AG
Your CompanyUNDERSTANDANALYTICSREPORTINGAD HOCEXPLORINGDASHBOARDSSource:SAP AG
RUNTypical Any CompanyOPERATIONALERPCRMHCMSCMSRM+ LoBUNDERSTANDANALYTICSREPORTINGAD HOCEXPLORINGDASHBOARDSSource:SAP AG
Typical Any CompanyRUNUNDERSTANDiPad
Typical Any CompanyRUNUNDERSTANDMOBILITY/CLOUDDATASource:SAP AG
What BI means for Business and IT ?Source:Gartner BI Summit London 2010
MARKET EVOLUTIONSource: IDC, 2011Operational Reporting &Data warehousingBusinessAnalyticsSource: Sybase
Performans Yönetimi bir bütünSource:Gartner BI summit Turkey 2007
COMPETIVEADVANTAGEANALYTICS MATURITYFor Source: Click
BI provides common understanding within companySource:Gartner BI Summit London 2010
Everything started with....
OLAP / Dashboard /Widget /Google like Search
Business UsersC-Level ExecutivesIT UsersPortalIntegration/InfoDistributionData ExplorationVisual IntelligenceInteractiveDa...
“Big Data”… Overly Simplified?•The real value of “Big Data" is not driven by its mere size…•…but, rather, by the effective...
VolumeVarietyApplicationVerticalsSocial MediaMobileCloudInternetDatabaseInformation JourneyTheBigDataPhenomenonBig Data10n...
How Big is 7.9 Zettabytes of Data?The Library of Congress147 Million AssetsUp to 462 terabytes of digital datain 2011 1.8 ...
Big Data MattersTransformational business value from dataDrive BetterProfit MarginsNewStrategies andBusiness ModelsOperati...
Big Data for Big VisionSource: Utopia
Big Data inReal-Time
Key trend: real-time enterpriseRethinking the way we workReal-time analysis – When it happens, you know itAccelerate Busin...
Picture this!
Source: VoltDB
Source:VoltDB
PRIMER ON NEW CONCEPTSHADOOP• Open source S/W framework for MapReduce on large data sets in a distributed filesystem• Stor...
PRIMER ON NEW CONCEPTSMAPREDUCE• A framework for distributed computing on large data sets on clusters of computers.Process...
PRIMER ON NEW CONCEPTSHIVE• Open source data warehousing framework for SQL like interface to Hadoop / Amazon• Storage Laye...
PRIMER ON NEW CONCEPTSNOSQL (NOT ONLY SQL) – A MOVEMENT• A broad class of DBMS that differ from the classic RDBMS with fol...
BIG DATA LANDSCAPE IS LIKE LONDON MAP For Source blog: Click please
Know yourself and your needs !
In-Memory Platforms open new era in IM WorldEliminate Redundant Layers; Combine Transactions & AnalyticsSource:SAP
Information Management LandscapeIntegration, Federation, Operational BIHistoricalEvent InitiatedUser InitiatedReal TimeDat...
Faster Time To Value (React Quicker, Create Better Value)Continuous Intelligence creates another market in BI/BAAction Tak...
Example of Complex Event ProcessingTradtional BI: “How manyFraudulent credit card transactionsoccurred last week in İstanb...
TOP 10 CIO Business and TechnologyPrioritiesSource: Gartner com (http://www.gartner.com/newsroom/id/2304615)
Source: B-eye Network
Business Intelligence Business AnalyticsSource: http://www.timoelliot.com/
New Vision for Business and AnalyticsON DEVICEON DEMANDON PREMISESIMPLICITYTECHNOLOGYALL TYPES OF USERSSource:SAP
Mobility & Mobile Intelligence Soars !
Source: Forbeshttp://www.forbes.com/sites/bitsyhansen/2012/03/29/data-visualization-landscape/Data Visualization is profes...
Source:http://www.timoelliot.com/
Socialytics is in BI/BAMichael FauscetteSource:
Hot appliance market will be around for a while butsooner or later it will diminish with for paradigm
SLIDE56
BI &Predictive Analysisconverges and gets simplifiedSource: SAP
IN-DB ANALYTICS and Revolution Analytics will bedemanded more
COSTS
The new way datawarehousingSource: Christian Grant, University of Florida 2011
SLIDE 61learn as much as possible
Rule of thumb ‘’ Business and IT must be together!!Right Balance is ‘SUCCESS’Source : Saama
Upcoming BI/BA world will be sodifferent than last two decades..
Source: http://www.oralytics.com/2012/06/data-science-is-multidisciplinary.html
be persistentwith hardwork and BI/BA knowledge 
Simplicity is not the opposite ofcomplexity: complexity is a fact ofthe world, whereas simplicity is inthe mind.Stephen Fe...
http://www.yellowfinbi.com/YFCommunityNews-8-reasons-why-embedded-Business-Intelligence-beats-DIY-119889Finally, not only ...
 Confusing terminology makes the value of BI hard to determine The mission and importance of BI are unclear There’s no ...
Follow Japanesee Proverb ‘ Never give up’
For source: Click
http://www.getbusymedia.comBI/BA Vendors can’t avoid ‘Innovation’End Users define ‘winners’
Awareness becomes Predictive Analytics
Big Thanks to Doguş UniversityIndustry Vertical Student Club
ExecuseSome of the visuals or materials used inpresentations have been historically collectedduring internet research. Des...
Business Intelligence and New Trends
Business Intelligence and New Trends
Business Intelligence and New Trends
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Business Intelligence and Analytics World 2013

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Business Intelligence and New Trends

  1. 1. Muzaffer YÖNTEMmuzaffer.yontem@sybase.com.trHttp://www.muzaffer.yontem.comTwitter: @myontemLinkedin ProfileBusiness Analytics ProfessionalSybase Turkey Sales Business Dev. Dir.İstanbul Doğuş ÜniversitesiMay 8, 2013
  2. 2. Data is the new oil ?Source:www.platon.net
  3. 3. Typical Any CompanySource:SAP AG
  4. 4. Core BusinessApps (ERP)Typical Any CompanySource:SAP AG
  5. 5. RUNTypical Any CompanyOPERATIONALSource:SAP AG
  6. 6. RUNTypical Any CompanyCore BusinessApps (ERP)OPERATIONALSource:SAP AG
  7. 7. RUNTypical Any CompanyOPERATIONALERPCustomersEmployeesStuffSuppliers+ LoBSource:SAP AG
  8. 8. RUNTypical Any CompanyOPERATIONALERPCRMHCMSCMSRM+ LoBSource:SAP AG
  9. 9. RUNYour CompanyOPERATIONALERPCRMHCMSCMSRM+ LoBSource:SAP AG
  10. 10. Your CompanyUNDERSTANDSource:SAP AG
  11. 11. Your CompanyANALYTICSUNDERSTANDSource:SAP AG
  12. 12. Your CompanyUNDERSTANDANALYTICSREPORTINGAD HOCEXPLORINGDASHBOARDSSource:SAP AG
  13. 13. RUNTypical Any CompanyOPERATIONALERPCRMHCMSCMSRM+ LoBUNDERSTANDANALYTICSREPORTINGAD HOCEXPLORINGDASHBOARDSSource:SAP AG
  14. 14. Typical Any CompanyRUNUNDERSTANDiPad
  15. 15. Typical Any CompanyRUNUNDERSTANDMOBILITY/CLOUDDATASource:SAP AG
  16. 16. What BI means for Business and IT ?Source:Gartner BI Summit London 2010
  17. 17. MARKET EVOLUTIONSource: IDC, 2011Operational Reporting &Data warehousingBusinessAnalyticsSource: Sybase
  18. 18. Performans Yönetimi bir bütünSource:Gartner BI summit Turkey 2007
  19. 19. COMPETIVEADVANTAGEANALYTICS MATURITYFor Source: Click
  20. 20. BI provides common understanding within companySource:Gartner BI Summit London 2010
  21. 21. Everything started with....
  22. 22. OLAP / Dashboard /Widget /Google like Search
  23. 23. Business UsersC-Level ExecutivesIT UsersPortalIntegration/InfoDistributionData ExplorationVisual IntelligenceInteractiveDashboardingBusinessSemanticLayer/ImpactAnalysisDesktop WidgetOffline AnalysisMultinational OLAP/ROLAPBusiness AnalyticsNeedsOperationalReportingAd-Hoc QueryMobile Business IntelligencePredictive AnalysisAdvancedVisualizationEnterprise Information Management(Master Data Management)1..n1..x1..y
  24. 24. “Big Data”… Overly Simplified?•The real value of “Big Data" is not driven by its mere size…•…but, rather, by the effectiveness and quality of the processes thatmanage it.• “Big Data” becomes an indispensible competitive advantage for theenterprise; only when, it is turned into accurate and meaningfulinformation in a timely and effective manner.“Make everything as simple as possible,but not simpler.” ~ Albert EinsteinSource: Sybase
  25. 25. VolumeVarietyApplicationVerticalsSocial MediaMobileCloudInternetDatabaseInformation JourneyTheBigDataPhenomenonBig Data10n Bytes■ Extreme Data Volumes■ Data Variety and atomic storage formats■ De-Duplication, Security, AccessO( f(n) )■ Computational Complexity■ Iterative Procedures■ Distributed ComputingEvents / sec■ Time to Value of Data■ Streaming Data and Continuous Intelligence■ Data Growth
  26. 26. How Big is 7.9 Zettabytes of Data?The Library of Congress147 Million AssetsUp to 462 terabytes of digital datain 2011 1.8 zettabytes of data will be created & replicatedExpected to increase to 7.9 zettabytes by 2015The equivalent of 18 million Libraries of congressCenturyLink, Inc. Resource Center, Infographic:Data Deluge – 8 Zettabytes of Data by 2015, 2011
  27. 27. Big Data MattersTransformational business value from dataDrive BetterProfit MarginsNewStrategies andBusiness ModelsOperationalEfficienciesBusinessValueVelocityVolumeVarietyMobileCRM DataPlanningOpportunitiesTransactionsCustomerSales OrderThingsInstant MessagesDemandInventorySource:SAP AG
  28. 28. Big Data for Big VisionSource: Utopia
  29. 29. Big Data inReal-Time
  30. 30. Key trend: real-time enterpriseRethinking the way we workReal-time analysis – When it happens, you know itAccelerate Business Performance – with 3600x fasteranalyticsUnlock New Insights – interrogate more granular dataIncrease Business Productivity – Real time data availablefor consumption on any device.Improve IT Efficiency – manage large data volumes whilereducing IT complexity
  31. 31. Picture this!
  32. 32. Source: VoltDB
  33. 33. Source:VoltDB
  34. 34. PRIMER ON NEW CONCEPTSHADOOP• Open source S/W framework for MapReduce on large data sets in a distributed filesystem• Storage Layer: Hadoop Distributed File System (HDFS) – stores data in files(schema-free)• Application Programming Interface: MapReduce framework• Commercial support available from – Cloudera, HortonWorks, IBM, EMC/Greenplum• SWOT• Strengths: scalable, cost effective, fault tolerant• Weaknesses: batch oriented, weak support for BI tools, tedious programming interface• Opportunities: coexistence in large installations can be lucrative (ComScore)• Threats: repurposed over time to become a general purpose DW or Analytics PlatformSource:Sybase
  35. 35. PRIMER ON NEW CONCEPTSMAPREDUCE• A framework for distributed computing on large data sets on clusters of computers.Processing can occur on data from file systems or DBMS.• The framework is based on map (distribute work) and reduce (collate & output results)steps. Map and Reduce functions can be written and accessed via many languages.• MapReduce technique is widely used for pre-processing web logs, text data, graphdata, …Examples: Find web links for search phrase, find patterns in social network graphsSource:Sybase
  36. 36. PRIMER ON NEW CONCEPTSHIVE• Open source data warehousing framework for SQL like interface to Hadoop / Amazon• Storage Layer: Hadoop Distributed File System (HDFS) and Amazon S3 FileSystem• Application Programming Interface: HiveQL – a variant (and subset) of ANSI SQL• Commercial support: None today• SWOT• Strengths: makes Hadoop more usable due to declarative nature of HiveQL• Weaknesses: does not cover much of SQL (very rudimentary), so usefulness is limited• Opportunities: coexistence in large installations with purely SQL based applications• Threats: with more maturity of its SQL, it can become a threat to commercial DW DBMSSource:Sybase
  37. 37. PRIMER ON NEW CONCEPTSNOSQL (NOT ONLY SQL) – A MOVEMENT• A broad class of DBMS that differ from the classic RDBMS with following characteristics• May not require fixed table schemas and tend to avoid join operations• Key value store and analysis – put (key, value), get(key), MapReduce(keylist, fns),…• Run on large number of commodity machines (usually in the cloud)• Data (hash) partitioned and replicated among these machines• Relaxed data consistency requirement• Document store formats (JSON, XML) and Web 2.0 APIs (PHP, PERL, Python, Ruby)• Examples:• NoSQL techniques primarily used for document & multi-media mgmt and search, web urlindexingRead more: http://horicky.blogspot.com/2009/11/nosql-patterns.htmlSource:Sybase
  38. 38. BIG DATA LANDSCAPE IS LIKE LONDON MAP For Source blog: Click please
  39. 39. Know yourself and your needs !
  40. 40. In-Memory Platforms open new era in IM WorldEliminate Redundant Layers; Combine Transactions & AnalyticsSource:SAP
  41. 41. Information Management LandscapeIntegration, Federation, Operational BIHistoricalEvent InitiatedUser InitiatedReal TimeDataFederationDataIntegration(ETL based)OperationalBusinessIntelligence /(EventProcessing)New MarketSegmentBusiness question are send to dataand not data to business questions
  42. 42. Faster Time To Value (React Quicker, Create Better Value)Continuous Intelligence creates another market in BI/BAAction TakenTimeValueLatencyEvent HappensData StoredAction ValueSource:SAP
  43. 43. Example of Complex Event ProcessingTradtional BI: “How manyFraudulent credit card transactionsoccurred last week in İstanbul?”1 2 3 4 5 6 7 8 9timeComplex Event Processing: “when three credit cardauthorizations for the same card occur in any five secondswindow, deny the requests and check for fraud.”Source:SAP
  44. 44. TOP 10 CIO Business and TechnologyPrioritiesSource: Gartner com (http://www.gartner.com/newsroom/id/2304615)
  45. 45. Source: B-eye Network
  46. 46. Business Intelligence Business AnalyticsSource: http://www.timoelliot.com/
  47. 47. New Vision for Business and AnalyticsON DEVICEON DEMANDON PREMISESIMPLICITYTECHNOLOGYALL TYPES OF USERSSource:SAP
  48. 48. Mobility & Mobile Intelligence Soars !
  49. 49. Source: Forbeshttp://www.forbes.com/sites/bitsyhansen/2012/03/29/data-visualization-landscape/Data Visualization is profession! Dedicate yourself !Tableau Software
  50. 50. Source:http://www.timoelliot.com/
  51. 51. Socialytics is in BI/BAMichael FauscetteSource:
  52. 52. Hot appliance market will be around for a while butsooner or later it will diminish with for paradigm
  53. 53. SLIDE56
  54. 54. BI &Predictive Analysisconverges and gets simplifiedSource: SAP
  55. 55. IN-DB ANALYTICS and Revolution Analytics will bedemanded more
  56. 56. COSTS
  57. 57. The new way datawarehousingSource: Christian Grant, University of Florida 2011
  58. 58. SLIDE 61learn as much as possible
  59. 59. Rule of thumb ‘’ Business and IT must be together!!Right Balance is ‘SUCCESS’Source : Saama
  60. 60. Upcoming BI/BA world will be sodifferent than last two decades..
  61. 61. Source: http://www.oralytics.com/2012/06/data-science-is-multidisciplinary.html
  62. 62. be persistentwith hardwork and BI/BA knowledge 
  63. 63. Simplicity is not the opposite ofcomplexity: complexity is a fact ofthe world, whereas simplicity is inthe mind.Stephen FewPerceptual Edge
  64. 64. http://www.yellowfinbi.com/YFCommunityNews-8-reasons-why-embedded-Business-Intelligence-beats-DIY-119889Finally, not only embedded BI but alsoembedded BA will be coming soon !!!
  65. 65.  Confusing terminology makes the value of BI hard to determine The mission and importance of BI are unclear There’s no clear link to business strategy and critical businessprocesses BI/BA is about technology Hard –long and complex project ! BI is about Data Hard to practise BI/BA Expensive and Costly Datamining is too hard , we need pHD guys Big Data brings complexity with no clear benefits Social Media Analysis is something different from BIPlease fight against ;Source:Spotfire
  66. 66. Follow Japanesee Proverb ‘ Never give up’
  67. 67. For source: Click
  68. 68. http://www.getbusymedia.comBI/BA Vendors can’t avoid ‘Innovation’End Users define ‘winners’
  69. 69. Awareness becomes Predictive Analytics
  70. 70. Big Thanks to Doguş UniversityIndustry Vertical Student Club
  71. 71. ExecuseSome of the visuals or materials used inpresentations have been historically collectedduring internet research. Despite the fact that Ihave tried to write all sources, there are somemissing source names or unknown sources. I ampleased to correct promptly missing/wrong names,if you know the sources and can inform me.Thank you for understanding and accept my sincereexcuses if I cause any inconvenience

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