SharePoint 2010 Business Intelligence

About this Course

This SharePoint 2010 BI Led course How to use SharePoint as your platform for Business Intelligence. Journey through the SharePoint 2010 Business Intelligence Center, Excel Services, Reporting Services, Analysis Service, Performance Point and PowerPivot to implement your BI Strategies and enable your decision makers to see data in new and dynamic ways! This SharePoint 2010 training will take you down a path of building a BI environment from scratch to full interactive dashboards using the Microsoft BI Stack.

Audience Profile

Sr Business Intelligence Architects and Consultants, Sr Business Analysts, anyone responsible for implementing BI with SharePoint.

At Course Completion

After completing this course, students will be able to:

  • Explore the new Business Intelligence Center, Analysis Services, Excel Services, Business Connectivity Services, Visio Services, Access Services, Power Pivot, Performance Point and Bing Maps.

Duration: 36 hours

Content

Module 1:

Overview

Module 2: Business Intelligence

After completing this module, students will be able to:

  • Define Business Intelligence
  • Understand what P=R-C means to BI
  • Accept that empowering end users is a GOOD thing
  • Understand your BI will only be as good as your data, tools and processes

Module 3: Business Intelligence Center

After completing this module, students will be able to:

  • Navigate the Business Intelligence Center Site Definition
  • Understand what a SharePoint Dashboard is
  • Understand what a KPI is and what data they can analyze
  • Understand what integration points are compatible with the Business Intelligence Center

Module 4: Data Mart and Data Warehouses

After completing this module, students will be able to:

  • Differentiate between multiple data formats
  • Understand differences between data warehouse and data marts
  • Be able to describe what happens in an Extract, Transform and Load (ETL) process

Module 5: Business Connectivity Services

After completing this module, students will be able to:

  • Understand how BCS works
  • How to build new BCS applications
  • How to Upgrade your older BDC applications

Module 6: Analysis Services

After completing this module, students will be able to:

  • Describe OLAP terms
  • Understand how to navigate Analysis Services
  • How to build a simple cube
  • How to write simple MDX queries
  • How to use data mining models

Module 7: Filter Web Parts

After completing this module, students will be able to:

  • Describe what Filter Web Parts are
  • Work with Filter Web Parts
  • Understand how to integrate Filter Web Parts into other BI technologies

Module 8: Excel Services

After completing this module, students will be able to:

  • Setup and configure Excel Services
  • Use the Excel Services Web Parts
  • Use Excel to modify MDX queries
  • Use Excel to create Sparklines
  • Use Excel Services REST-ful APIs

Module 9: PowerPivot

After completing this module, students will be able to:

  • Create PowerPivot enabled spreadsheets
  • Utilize common PowerPivot functions and tools

Module 10: Reporting Services

After completing this module, students will be able to:

  • Understand and describe the integration between reporting services and SharePoint
  • Build Reporting Services reports
  • Use the Reporting Services web part
  • Create Report and Report Part Libraries
  • Integrate Reporting Services and PowerPivot

Module 11: Performance Point

After completing this module, students will be able to:

  • Describe features of Performance Point
  • Create Performance Point Scorecards and KPIs
  • Use Time Intelligence features in your BI solutions

Module 12: Visio and Access Services

After completing this module, students will be able to:

  • Create and deploy interactive Visio diagrams to SharePoint
  • Create and deploy Access databases to SharePoint

Module 13: GeoSpatial Data with Charts and Maps

After completing this module, students will be able to:

  • Understand how .NET Charts are used in SharePoint 2010
  • How to build geospatial maps using BI data