SAS BI Course Content

Overview :

SAS BI (Business intelligence) has analytical capabilities like statistics, reporting, data mining, predictions, forecasting and optimization. They help improve key processes and data, as well as identify and monitor trends in corporate, competitor market performance and improving quality of data.

Training Objectives of SAS BI :

The main objectives of the SAS BI is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. It consumes less time for responding requests and for business users to view the information. It is an integrated, flexible and robust presentation layer for SAS Analytics with full breadth is also offered by SAS BI. All these are integrated within the context of business for better and quick decision making.

Target Students / Prerequisites :

Students must have technical Skills and some experience on Microsoft Word and Microsoft Excel. Student must know how to use a Web browser to access the information.

Overview of SAS 9 Enterprise Intelligence Platform and SAS Data Integration Studio :

  • Business Intelligence overview
  • Business Intelligence Information Consumers
  • Navigating in SAS Data Integration Studio

Change Management :

  • What is change management?
  • Repository types
  • Using change management

Designing the Course Data Mart :

  • Planning a data warehouse
  • Building a Data Mart
  • Defining the source data
  • Defining the target tables
  • Loading the target tables

Creating Reports :

  • Report Transformations
  • Using the Transformation Generator Wizard
  • SAS Data Integration Studio and stored -processes Transformations for Slowly Changing Dimensions
  • Defining slowly changing dimensions
  • Using the SCD Type 2 Loader transformation
  • Using the Fact Table Lookup transformation

Job Scheduling :

  • Scheduling SAS Data Integration Studio jobs SAS Data Integration Studio and Data Quality
  • SAS and Data Quality
  • Using the Data Validation transformation
  • Using the Apply Lookup Standardization transformation
  • Using the Create Match Code transformation

SAS/Enterprise Guide :

Introduction :

  • Starting SAS Enterprise Guide
  • SAS Enterprise Guide windows
  • Basic elements of SAS Enterprise Guide
  • Entering data
  • Creating a list report
  • Producing a frequency report
  • Creating a scatter plot
  • Adding a note to the project
  • Saving the project

Reading Data from Files :

  • Opening a SAS data set from your local computer
  • Opening a SAS data set stored in a SAS library
  • Opening a Microsoft Excel file

Message Driven Beans-‘the new entrant into the EJB specification :

  • Introduction to JMS and Java Mail
  • Types of Messaging Domains-PTP,Pub/Sub
  • MOM
  • Life cycle
  • Deployment
  • Areas of Applications
  • Configuration of messaging servers

Creating Reports :

  • Creating a simple report
  • Changing titles and footnotes
  • Changing column labels and formatting values
  • Defining your own formats
  • Creating a grouped report
  • Selecting a style for the report

Working with Data in the Query Builder :

  • Opening the Query Builder
  • Selecting columns
  • Creating a new column
  • Ordering and removing columns
  • Filtering data
  • Sorting the data rows

Joining Two Data Files Together :

  • Opening the two data files to be joined
  • Joining tables
  • Filtering the data
  • Modifying the type of join

Courses Duration : 3-4 weeks

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