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Business intelligence architecture
This document provides an overview of business intelligence and outlines a conceptual framework for designing a business intelligence system driven by business processes. It discusses understanding the business system, defining business processes and requirements, technical design including databases and ETL, and developing BI applications to optimize operations, analyze and control business processes, and monitor business performance. An example sales process is described to illustrate how the framework can be applied.
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Business intelligence architecture
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- 3. About Me Slava Kokaev– Lead Business Intelligence Architect at Industrial Defender Boston BI USER GROUP leader email: vkokaev@boston bi.org web:
- 4. Enterprise BI Strategyand Vision Optimize Business Processes and Operations Analyze BP and Operations Control BP and Operations Monitor BP and Operations
- 5.
- 6. Enterprise Business AnalysisSystem Customers Business partners Vendors, Suppliers, Channel partners IT providers Financial service providers Monitoring Systems Analysis Systems Business Processes and Operations Controlling Systems Strategy and Planning Systems
- 7. SharePoint Server Reports DashboardsExcel Workbooks Analytic Views Scorecards Plans Microsoft’s BI platform END USER TOOLS & PERFORMANCE MANAGEMENT APPS Excel Power Pivot BI PLATFORM SQL Server Reporting Services SQL Server Analysis Services SQL Server DBMS SQL Server Integration Services
- 8. Business Process SystemCycle Act Plan DoCheck Monitor AnalyzeTest Learn
- 9. Business Intelligence ConceptualFramework Source System ETL System DW System DP System
- 10. Business Process DrivenBI System Design and Project Lifecycle Project Planning and Management Defining Business Process Model & Requirements Technical Architectural Design Relational Database Design & Development ETL System Design & Development OLAP Database Design & Development BI Application Design & Development
- 11. Bike Factory Tires FactorySteelFactory Color Factory Warehouse Resellers Accessory Factory Plastic Factory AdventureWorks Headquarter
- 12. Business Process Business Process Money Customers Materials BusinessRules Plans Standards IT ResourcesHuman Resources Equipment Products Orders Contracts
- 13. Abstract Functional BusinessModel Plan Act Check Do Input Data Resources Plans, Business Rule and KPI Result Data Process Output (Facts /Measures) Feedback (Improvement)
- 14. Sales Business Process PlanSales Analyze Sales Monitor Sales Resellers Sales Stock Data Reseller (Dimension) Sales Quota and KPI Sales Result Sale Orders (Facts /Measures) Sales Summary Balance Scorecards Sales Transaction
- 15. Business Case Reseller Sales Amy Jack MoNight Freight Sales Quota $1000 Boss Order Date Order # Reseller Sales Person Ship Date Product 06/17/2010 E223084 Jack Yo Amy Valdez 06/18/2010 Mountain Bike -200
Editor's Notes
- #9 Data warehousing and business intelligence are fundamentally about providing business people with the information and tools they need to make both operational and strategic business decisions.Whether the decision making is strategic or operational, from a technical perspective, you need to provide the information necessary to make decisions. Any given decision will likely require a unique subset of information. You'll need to build an information infrastructure that pulls data from across the organization, and potentially from outside the organization, and then cleans, aligns, and restructures the data to make it as flexible and usable as possible. DW/BI system requires technically sophisticated data gathering and management.Finally, you need to provide the business decision makers with the tools they need to make use of the data. In this context, "tools" means much more than just software. It means everything the business users need to understand what information is available, find the subsets they need, and structure the data to illuminate the underlying business dynamics. Therefore, "tools" means training, documentation, and support, along with ad hoc query tools, reports, and analytic applications.
- #13 Developing Project Data Sources and Package ConnectionsBecause the main purpose of SSIS is to move data from sources to destinations, the nextmost important step is to add the pointers to these sources and destinations. These pointersare called data sources and connections. Data sources are stored at the project level and arefound in Solution Explorer under the logical folder named Data Sources. Connections, on theother hand, are defined within packages and are found in the Connection Managers pane atthe bottom of the Control Flow or Data Flow tab. Connections can be based on project datasources or can stand alone within packages. The next sections walk you through the uses andimplementation of project data sources and package connections.
- #14 Developing Project Data Sources and Package ConnectionsBecause the main purpose of SSIS is to move data from sources to destinations, the nextmost important step is to add the pointers to these sources and destinations. These pointersare called data sources and connections. Data sources are stored at the project level and arefound in Solution Explorer under the logical folder named Data Sources. Connections, on theother hand, are defined within packages and are found in the Connection Managers pane atthe bottom of the Control Flow or Data Flow tab. Connections can be based on project datasources or can stand alone within packages. The next sections walk you through the uses andimplementation of project data sources and package connections.