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Business Intelligence Ulrika Leufvén System Engineer Microsoft AB Making Better Decisions Faster.

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Presentation on theme: "Business Intelligence Ulrika Leufvén System Engineer Microsoft AB Making Better Decisions Faster."— Presentation transcript:

1 Business Intelligence Ulrika Leufvén System Engineer Microsoft AB Making Better Decisions Faster

2 Agenda  Business Intelligence overview  Microsoft’s BI Platform  SQL Server Accelerator for Business Intelligence (SSABI)

3 Business Intelligence  Making better decisions faster - Critical decisions per week have tripled over the last five years - Dedicated analytical personnel have decreased by 50% over the last five years  Converting Data into Information - Available business data is growing exponentially Source: Gartner Group

4 Some history…  Press Release: October 29, Microsoft acquires Panorama OLAP Technology  SQL Server 7.0, OLAP Services  SQL Server 2000 (8.0), Analysis Services

5 ”Microsoft rocking the industry”  Microsoft and Hyperion joint market leaders in 2001  Microsoft: #1 product chosen (80%) if evaluated and compared to others  Analysis Services deployment grew 60%  Microsoft OLAP market revenue almost doubled in 2001 Source : The OLAP Report, March 7th, 2002

6 Business Intelligence Architecture Data Marts and cubes Relational DW Database SourceSystems Clients Query ToolsQuery Tools ReportingReporting AnalysisAnalysis Data MiningData Mining OLAP Cubes Data extraction Designing and processing Performing multi- and transformation OLAP cubes dimensional analysis Data extraction Designing and processing Performing multi- and transformation OLAP cubes dimensional analysis

7 Why Microsoft BI Platform? Microsoft SQL Server 2000 is the fastest way to deliver enterprise database solutions Microsoft Office The world's leading suite of productivity software SQL Server 2000  Comprehensive, integrated scalable RDBMS: - Data Transformation Services - Analysis Services (OLAP and Data mining) - Metadata Services - English Query facility Office XP  Excel - Built-in PivotTable ® Service  Web components for custom development  Digital Dashboard  Data Analyzer

8 BI – all around you… SQL Server 2000 and Analysis Services MapPoint Office Web Components Cognos Commerce Server Project 2002 XML

9 SQL Server Accelerator for BI The SQL Accelerator for BI enables you to rapidly develop and deploy customized analytical applications without long and costly development cycles.

10 What problems are we trying to solve?  Analytical apps are key to BI as an “everyday thing” - Skills gap constrains growth of BI  Solution Providers - Deploying the infrastructure is difficult and costly - Hard to leverage best practices and content  Customers - Analytical apps take too long to build - Historically high risk of failure - No generic analytical app can meet all customer requirements out of the box

11 Our approach  Our solution: - Enables rapid iterative development for the analytical application - Encapsulates domain expertise in a common structure Data model KPIs (measures and metrics) Reporting application ETLM lifecycle  Focus on business requirements  Codify best practices  Facilitate re-use of content and design

12 Accelerator for BI Components  Solution components - SSABI tool - Predefined content - Prescriptive Architectural Guidance - Client Views  What the customer gets - Enterprise-ready analytical application - Customized to their requirements - Open and extensible system

13 SourceSystems DTSDTS Analytics Builder ETL Data Warehouse DB Snowflake schema Support for SCD Surrogate keys StagingDb Raw tables Rich pre-built time dimension Cubes Special calculated measures (KPIs) Built-in partitioning by time (optional) OLEDB for OLAP UI Standard Reports Various client tools supported Analytics Builder Workbook Architecture

14 Demo  Analytics Builder Workbook

15 Reporting application overview  Generic solution includes rich set of predefined reports: the reporting application  Choose your client tool: Excel, MSDA, ProClarity, (or any other) - We ship a similar set of reports in each tool - Not identical, because tool features differ  What happens when you customize the schema? - Our client generator components, written by the tool vendors fix the reports for you - Any tool vendor beyond our first 3 could write a client generator and integrate with the BI Accelerator framework

16 Demo  Client Views

17 Customer benefits Accelerator for BI  Time to Market  Customized Solution  Focus on business issues not technology  Reduce Risk  Lower barrier to entry to BI

18 Partner benefits  Add more value to customers - Focus on business value not plumbing - Extend solutions  Better implementations - Reduce deployment risk for clients - Best practices  Leverage IP - Reuse IP across clientele - Knowledge uniformity

19 Shell Canada “By using the BI Accelerator for all of our future development we will ensure consistency in design and implementation. This also enables us to deliver functionally rich business solutions in a low cost and easy to maintain method.” Dan Bainbridge Team Leader – Data Warehouse Shell Canada Retail Analytics Solution Business Situation 800 Shell retail locations throughout Canada. Same site analysis is difficult/ Sales Mix Hard to view the big picture Not able to disseminate information to end users Cannot pinpoint what factors effect revenue and cost Solution Goals Empower end users to analyze their business Provide consolidated reporting environment Understand the factors that affect revenue and cost Consolidate reports Distribute reports efficiently and effectively Flag areas of concern Provide flexible analysis of attributes Category Analysis Customer analysis Promotion Analysis Sale Mix Same Site analysis

20 More Information      New book ”Making Better Decisions Faster” MsPress

21 ABW: Overview

22 Databases and connections

23 Automatic Time Dims

24 Dimensions

25 Levels

26 Attributes and Virtual Dims

27 Cubes

28 Virtual Cubes

29 Calculations

30 Mappings

31 Generate the application

32 Staging database

33 Subject Matter Database

34 Subject Matter Db: Datamodell för Sales kub

35 Analysis Database Cubes

36 Analysis Cube Editor

37 Analysis Database Dims

38 Klientvyer  Färdiga rapporter - Excel Microsoft Data Analyzer - Proclarity - DSP - Öppet för övriga klienter...  Nyckeltal definierade och presenterade på ett överskådligt sätt  Lätt att ändra och anpassa

39 Demo  Klientvyer

40 Excel client

41 ProClarity client

42 Data Transformation Services  Använd DTS för logik och dataflödesstruktur  DTS paketen är lätta att anpassa  Konsistent användning av parametrar (globala variabler) för fler valmöjligheter  Noggrann felhantering - Skickar felaktiga rader till felhanteringstabeller  Parallellism - Automatiskt uttnyttjande av flera processorer

43 Exempel på ett paket för tabellimport All packages begin with these setup steps Find data file; truncate table; load data – modify this section to pull from non-flat source Log status to the event log table

44 Laddning från Staging till Subject Matter Db  Paket: - Master (Huvudpaketet) - Varje dimension - Varje dimensionsnivå - Varje faktatabell  Dimensioner genomgår “process” innan fakta Process dimensions before facts; surrogatnycklar tilldelas - 3 algorithms for identifying “changed rows” in the dimensions - Everything is customizable, both through configurations and also by adding your custom code  “Felaktiga rader” (ex. En region som inte “rullar upp” till ett riktigt land) laddas in i felhanteringstabeller - DBA:n kan hantera felen och börja om

45 Agenda  Nyheter inom Business Intelligence - Microsoft Data Analyzer - MapPoint - Project SharePoint Portal Server  SQL Server Accelerator for Business Intelligence - Introduktion - Arkitektur - Verktyget - Klientvyer  Mer information

46

47 Mer information   Faktablad - SSABI SSABI   intelligence/default.asp  MsPress ”Making Better Business Intelligence Decisions Faster”  MSDN

48 Shell Canada “By using the BI Accelerator for all of our future development we will ensure consistency in design and implementation. This also enables us to deliver functionally rich business solutions in a low cost and easy to maintain method.” Dan Bainbridge Team Leader – Data Warehouse Shell Canada Retail Analytics Solution Business Situation 800 Shell retail locations throughout Canada. Same site analysis is difficult/ Sales Mix Hard to view the big picture Not able to disseminate information to end users Cannot pinpoint what factors effect revenue and cost Solution Goals Empower end users to analyze their business Provide consolidated reporting environment Understand the factors that affect revenue and cost Consolidate reports Distribute reports efficiently and effectively Flag areas of concern Provide flexible analysis of attributes Category Analysis Customer analysis Promotion Analysis Sale Mix Same Site analysis

49 EnmaxEnergy Retail AnalyticsSolution Retail Analytics Solution Business Situation Deregulated market in 2001Deregulated market in 2001 New methodology for operation and settlementNew methodology for operation and settlement Analysis of Settlement data is time consumingAnalysis of Settlement data is time consuming Hard for business users to identify problem areas during settle processHard for business users to identify problem areas during settle process Solution Goals Need ability to do historical analysis to improve settlement forecastsNeed ability to do historical analysis to improve settlement forecasts Need to have better understanding of power usage to decrease tariffsNeed to have better understanding of power usage to decrease tariffs Settlement AnalysisSettlement Analysis Load Shape AnalysisLoad Shape Analysis Customer Enrollment analysisCustomer Enrollment analysis ForecastingForecasting “This product also shaved weeks of back-end plumbing development time off the project, by installing a solid infrastructure, allowing dimensional modelers to focus on building strategic business prototypes for key stakeholders. ” Michael Matrick Vice President, Business Solutions Quadrus Development Inc

50 Frågor? 


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