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Tidsbegränsat erbjudande  – Upp till 40 % RABATT per kurs
 

Introduction to Microsoft® Tools for Business Intelligence: Hands-On

Integrating SQL Server, Excel and SharePoint


Course: 1463 dagar

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Quick Enrol

You Will Learn How To

  • Leverage the Microsoft toolset for building each business intelligence component
  • Integrate data from multiple sources using SQL Server Integration Services (SSIS)
  • Consolidate data for easy interpretation with SQL Server Analysis Services
  • Extract patterns with data mining add-ins for Microsoft Office Excel
  • Create KPIs, scorecards and dashboards using SharePoint PerformancePoint Services
  • Deliver and share business intelligence solutions with Microsoft SharePoint Services

Course Benefits

Business Intelligence is not a software program, but the application of software technologies that enables business users to make better and faster decisions based on enterprise data. In this course, you are introduced to the Microsoft Business Intelligence suite of software technologies. You learn how to build and integrate Microsoft tools into a comprehensive business solution in order to achieve competitive advantage.

Who Should Attend

Anyone who is involved or interested in implementing business intelligence solutions using Microsoft Business Intelligence tools. Knowledge of business fundamentals is assumed.

Hands-On Training

Throughout this course, extensive hands-on exercises provide practical experience working with business intelligence tools. Exercises include:
  • Reviewing a finished BI solution
  • Creating a KPI within a cube
  • Publishing an Excel workbook to SharePoint
  • Building a scorecard with Dashboard Designer
  • Forecasting trends with data mining techniques
  • Designing a dashboard in SharePoint
  • Visualising data with PerformancePoint analytic grids and charts

Course Content

Introducing Business Intelligence (BI)

Proposing an integrated solution

  • Identifying problems with current business practices as they relate to business intelligence
  • Aligning business objectives at all levels of the enterprise
  • Introducing the Microsoft BI vision and strategy

Identifying components of the Microsoft BI platform

  • SQL Server
  • Integration Services
  • Analysis Services
  • Reporting Services
  • Microsoft Excel
  • Microsoft SharePoint Server

Collecting BI Data with Integration Services

Integrating data from multiple sources

  • Connecting to external data sources
  • Creating a package for data imports

Working with Integration Services in a data warehouse

  • Populating a star and snowflake schema in SQL Server with Integration Services

Leveraging SQL Server Relational Engine

  • Denormalising into star or snowflake schemas
  • Introducing surrogate keys
  • Dealing with slowly changing dimensions

Leveraging SQL Server Analysis Services

Defining and building a cube

  • Facts
  • Dimensions
  • Hierarchies
  • Measures
  • Creating a cube with Analysis Services wizards
  • Denormalising the database
  • Creating Key Performance Indicators (KPIs)

Extracting insight with data mining

  • Determining data mining algorithms for specific business data problems
  • Utilising data mining to perform targeted marketing

Presenting Data with Reporting Services

Authoring a basic report

  • Building Tabular and Matrix reports with the Report Wizard
  • Creating a report based on an Analysis Services cube

Taking advantage of interactivity

  • Implementing drill down/up and expand/collapse
  • Exporting to other formats such as Excel

Exploiting Excel for Predictive Analysis

Creating models for data mining

  • Preparing and cleaning input data
  • Partitioning data into training and testing sets
  • Applying available models to solve business problems
  • Analysing key influencers of desired outcomes
  • Discovering natural clusters of large volumes of data

Pivoting table data

  • Creating charts and pivot tables from different data sources
  • Connecting to Analysis Services with Excel
  • Drilling down to multiple levels of detail
  • Slicing and dicing to flexibly analyse data

Publishing reports and models

  • Saving a workbook to a SharePoint document library
  • Viewing an Excel workbook from a Web browser

Delivering BI through SharePoint

Identifying the components of SharePoint

  • Leveraging the PowerPivot Gallery
  • Benefits of the BI tools available in Microsoft SharePoint Server

Preparing to display BI data in SharePoint

  • Creating a Report Builder report
  • Deploying data sources to a data source library
  • Uploading reports to a report library

Displaying dashboards

  • Building a dashboard with SharePoint PerformancePoint Services Dashboard Designer
  • Embedding KPIs, scorecards and reports

Identifying Components of a BI Infrastructure

Integrating Analysis Services with SharePoint

  • Leveraging PowerPivot for SharePoint
  • Providing an Analysis Services processing engine with SharePoint

Delivering self-service BI tools to users

  • In-memory processing with PowerPivot for Excel
  • Performing sophisticated calculations with DAX expressions
  • Creating data visualisation reports with Excel 2010

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Related Courses


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Learning Tree AnyWareTM is a trademark of Learning Tree International, Inc. in the United States and other countries, and is covered by a patent application pending in the United States.
 
Microsoft Tools for Business Intelligence

Course Dates

Live online classroom training.Most events below can be taken in-class or live, online from your home or office with AnyWare.
24 - 26 OctStockholm enrol

UK Dates

11 - 13 JulLondon enrol
28 - 30 NovLondon enrol
17 - 19 AprLondon enrol

US Dates

23 - 25 MayWashington, DC enrol
25 - 27 JulWashington, DC enrol
8 - 10 AugWashington, DC enrol
29 - 31 AugNew York enrol
12 - 14 DecNew York enrol

For AnyWare enrollments, please register at least 7 days prior to the start of the course.

More Dates and Locations.

 

On-Site &
Custom Training

Bring this or any Learning Tree course to your location or have it customized for your organization.

 

Kursdeltagarnas genomsnittsbedömning

De senaste 12 månadernas bedömningar

5 stjärnor:
66 %
4 stjärnor:
30 %
3 stjärnor:
4 %
2 stjärnor:   0 %
1 stjärna:   0 %



 
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