Business Business IntelligenceIntelligence

Hariprit PadamHariprit Padam

Ramakanth GajjelaRamakanth Gajjela

AgendaAgenda

• IntroductionIntroduction• BI processBI process• Past proposalPast proposal• Current proposalCurrent proposal• Enhancement in BI architectureEnhancement in BI architecture• ConclusionConclusion• QuestionsQuestions

IntroductionIntroduction•A typical BI architecture

contains a Data Warehouse (DW), an Extraction, Transformation and Loading tool (ETL) and a set of analytical tools.

•DW is an integrated repository of data consolidated from different data sources through ETL tools.

Business Intelligence Business Intelligence ProcessProcess

• Understand and define the process• Perform data collection and extraction• Perform Data Cleaning and

Exploration• Data Engineering

– select attributes of interest– select records of interest– map attributes to suit DM algorithms

Business Intelligence Business Intelligence ProcessProcess

• Algorithm Engineering– which algorithm to use– ability to deal with

• quality of input• quality of output• performance

• Run the data mining algorithm• Preliminary evaluation of the results• Refine the data and the problem• Use the results to implement a

business strategy

Past Past proposalproposalThe data warehouseThe data warehouse

does not have to be does not have to be

implemented as a single,implemented as a single,

centralized system, but centralized system, but

can also be partially orcan also be partially or

entirely implemented in a entirely implemented in a decentralized or evendecentralized or even

virtual way.virtual way.

Proposed ArchitectureProposed Architecture

Enhancement in BI Enhancement in BI architecturearchitecture

• Information integration infrastructure:Information integration infrastructure:– This infrastructure is mainly responsible This infrastructure is mainly responsible

for managing and analysis of data for managing and analysis of data required by the business intelligence. required by the business intelligence.

• Business integration infrastructure: Business integration infrastructure: – The central component of this The central component of this

infrastructure is the Sense and Respond infrastructure is the Sense and Respond system which interact with the internal system which interact with the internal and external environments via hubs.and external environments via hubs.

Claims of Enhance Business Claims of Enhance Business Intelligence Architecture: 1Intelligence Architecture: 1• Minimizing Data latency: Minimizing Data latency:

– A major portion of time is consumed in the A major portion of time is consumed in the extraction, transformation and uploading of extraction, transformation and uploading of the data in the data warehouse database. the data in the data warehouse database.

• Minimizing Analysis latency:Minimizing Analysis latency:– Analysis latency is mainly determined by Analysis latency is mainly determined by

the time it takes to inform the person in the time it takes to inform the person in charge of data analysis that new data has charge of data analysis that new data has to be analyzed, the time needed to choose to be analyzed, the time needed to choose appropriate analysis models and the time appropriate analysis models and the time to process the data and present the results to process the data and present the results

Claims of Enhance Business Claims of Enhance Business Intelligence Architecture: 2Intelligence Architecture: 2• Minimizing Decision latency: Minimizing Decision latency:

– This is one aspect of BI which does not This is one aspect of BI which does not involve much technology because it is involve much technology because it is manual process and the decisions are manual process and the decisions are taken by specialized human resources taken by specialized human resources and hence it consumes lot of time. and hence it consumes lot of time.

• Minimizing Response latency:Minimizing Response latency:– Response latency is the time consumed Response latency is the time consumed

from initiating an action till its from initiating an action till its execution. execution.

ConclusionConclusion

• Traditional business intelligence Traditional business intelligence architecture does not support real architecture does not support real time decision making.time decision making.

• The author emphasizes on the The author emphasizes on the latencies that occur in various latencies that occur in various stages of the traditional architecture stages of the traditional architecture and presents a sense and response and presents a sense and response system clubbed with analytical system clubbed with analytical services to enhance the BI system.services to enhance the BI system.

ReferencesReferences• A Current and Future Role of Data Warehousing in A Current and Future Role of Data Warehousing in

Corporate Application Architecture,Corporate Application Architecture, By R. Winter By R. WinterDate: January 2001. IEEE, Proceedings of the 34th Date: January 2001. IEEE, Proceedings of the 34th Hawaii International Conference on System Sciences – Hawaii International Conference on System Sciences – 20012001

• Andreas Seufert, Josef Schiefer, "Andreas Seufert, Josef Schiefer, "Enhanced Business Enhanced Business Intelligence - Supporting Business Processes with Intelligence - Supporting Business Processes with Real-Time Business Analytics,Real-Time Business Analytics," dexa, pp. 919-925, " dexa, pp. 919-925, 16th International Workshop on Database and Expert 16th International Workshop on Database and Expert Systems Applications (DEXA'05), 2005.Systems Applications (DEXA'05), 2005.

• ““AddingAdding Semantics to Business IntelligenceSemantics to Business Intelligence”, ”, 16th 16th International Workshop on Database and Expert International Workshop on Database and Expert Systems Applications (DEXA'05), By Denilson Sell, Systems Applications (DEXA'05), By Denilson Sell, Liliana Cabral, Enrico Motta, John Domingue, Roberto Liliana Cabral, Enrico Motta, John Domingue, Roberto Pacheco, Publication Date: August 2005. Pacheco, Publication Date: August 2005.

Questions?Questions?

Thank youThank you