1. Develop Business Intelligence Application with Microsoft SharePoint 2013 Author: Vo Duy Anh

2. Part 1: BI Architecture 1.Business Intelligence Basics 2.BI Architecture & Software Prerequisites 3.BCS & ETL & other Data Sources 4.SQL Server – Data Warehouse 5.SQL Server – Analysis Services 6.SharePoint Application Services SharePoint & Business Intelligence Part 2: BI Reports on SP 1.Reporting Service 2.PerformancePoint Service 3.Visio Service 4.Excel Service 5.Power Pivot on Excel 6.Power View

3. 1.Business Intelligence Basics 2.BI Architecture & Software Prerequisites 3.BCS & ETL & other Data Sources 4.SQL Server – Data Warehouse 5.SQL Server – Analysis Services 6.SharePoint – Business Intelligence Part 1: Business Intelligence Introduction Part 1: Business Intelligence Introduction

4. Business Intelligence Basics What is Business Intelligence ? That is very important when making business decision. Tools help to monitor – analyse – maintain.

5. I want to know when a key business indicator is at risk. I want to have focused discussions to drive metrics to “green.” I want my team to identify the root cause for metrics at risk. I want to ensure my team has access to the data they need to resolve issues, and expand the business If issues are found, the right team members should be “seamlessly” engaged. I want to know when to expect a “red” metric to trend towards “green.” Monitor Analyze Manage ? I want consistent and timely metrics and I don’t want to “guess.” All Information: Monitor – Analyze – Manage - Decision

7. BI Architecture & Software Prerequisites SharePoint Farm Microsoft SQL Server 2012 Enterprise Edition (or later) Microsoft SharePoint 2013 Enterprise Edition (or later) SharePoint Online BI Application for SharePoint Online

10. BCS & ETL Business Connectivity Service (BCS) Extract – Transact – Loading (ETL) include in SSIS Other Data Sources (Integration Tools)

11. Business Connectivity Service BCS Architecture SharePoint – BCS – SQL Server

12. SQL Server Data Warehouses Dim Tables  Dimension Fact Tables  Fact or Measure

13. SQL Server Analysis Service 1.SQL Server Analysis Service (Multi - Dimmentional) 2.SQL Server Tabular Model (SQL 2012 or later) 3.SQL Server Power Pivot (SQL 2012 or later)

14. SQL Server Analysis Service 1.SQL Server Analysis Service  MDX Query 2.SQL Server Tabular Model  DAX Query 3.SQL Server Power Pivot  MDX/DAX Query

15. SharePoint Application Services

16. 1.Reporting Service 2.PerformancePoint Service 3.Visio Service 4.Excel Service 5.Power Pivot on Excel 6.Power View Part 2: SharePoint & BI Reports

17. Reporting Service 1.SharePoint SQL Server Reporting Service 2.Report Builder 3.Sample Reports Report Builder ModelReport Builder Model Report Builder ReportReport Builder Report Report Builder Data SourceReport Builder Data Source

18. PerformancePoint Service 1.SharePoint Performance Point Service 2.Dashboard Designer KPIKPI GoalsGoals MeasuresMeasures DimensionDimension

19. Power View 1.Power Query 2.Power Map 3.Power View Report 4.Power View Designer

20. Excel Service 1.Excel Service 2.Sample Reports

21. Power Pivot on Excel 1.Power Pivot Configuration Tool 2.Power Pivot Service 3.Sample Reports

22. Visio Service 1.Visio & SharePoint Visio Service 2.Sample Reports

23. Part 3: Demo Case Study Current System: eCommerce Online based on SharePoint 2013 and SQL Server 2012. Requirement: Develop a BI report or Dashboard to display sale data in shortest time. Solution must be a small & smart application with minimum cost.

24. Data organization in current system eCommerce Online System: This is a data model relationship based on SharePoint List. eCommerce Database This is a database relationship based on SQL Server 2012, and the same structure with data model by SharePoint List. eCommerce Data Warehouse This is a database data warehouse based on SQL Server 2012 that includes Dim Tables & Fact Tables.

25. Data Model Relationship

26. Steps by Steps 1.Synchronize data between Data Model (SharePoint List) and eCommerce Database (SQL Server). 2.Transfer data from eCommerce Database (SQL Server) to eCommerce Data Warehouse (SQL Server). 3.Develop SQL Server Analysis Service: Multi Dimensional or Tabular Model. (X) 4.Design Dashboard | Reports and display on SharePoint. (X)

27. Synchronize data by BCS  Verify Business Data Connectivity Service on SharePoint 2013.  Create External Content Type & External List. https://msdn.microsoft.com/en-us/library/office/jj163782.aspx  Synchronize between Internal List & External List  Verify data after synchronization.  Demo.

28. Transfer data to Data Warehouse  Verify data on eCommerce database.  Verify data on eCommerce data warehouse.  Transfer & Transform data: from eCommerce database  eCommerce data warehouse.  Verify data in Data Warehouse.

29. Develop SSAS & Display Reports  Develop SSAS: Multi Dimensional or Tabular Model  Design Reports: Dashboard, Power View, Power Pivot….  Demo: design & publish a dashboard to SharePoint.

30. How a record is transferred in BI System?  Create a new record in Order Detail of eCommerce System.  Synchronize this record: eCommerce (SharePoint List )  eCommerce (database in SQL Server)  Transfer & Transform this record: eCommerce (database in SQL Server)  eCommerceDW (data warehouse in SQL Server)  Update Process of SSAS  Refresh dashboard. an new order  sharepoint list  normal database  data warehouse  SSAS  display on dashboard.

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