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SAS BUSINESS INTELLIGENCE (BI)

SAS BI ONLINE TRAINING

SAS BI ONLINE TRAINING IN INDIA, USA & UK

SAS BI ONLINE TRAINING IN CANADA

SAS BI ONLINE TRAINING IN AUSTRALIA

SAS BI ONLINE TRAINING

SAS BI COURSE CURRICULUM

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  • Overview of the SAS BI
      Business User Reporting Applications
      Use the SAS Add-In for Microsoft Office
      Use SAS Web Report Studio
      Use SAS Information Delivery Portal
  • Advanced Reporting Techniques and Roles
      Modify an existing SAS Information Map
      Create a New SAS BI Dashboard Indicator
      Create data sources for reporting and analysis
      Interpret permissions
      File structures defined in metadata administrator
  • Creating Information Maps
      Utilize different data sources
      Use filters and the prompting framework
      dynamically subset data
      Create prefilters to subset the information map data
      Use the SAS Information Maps LIBNAME engine
  • Building a SAS BI Dashboard Application
      Build SAS BI Dashboard Components
      Build advanced SAS BI Dashboard Components
  • Building Stored Processes
      Create a stored process from a SAS Enterprise Guide Project
      Create a stored process from a SAS Program
      Add prompts to a stored process
      Create a stored process to provide a dynamic data source
      Define the macro variables generated for each prompt type
  • Utilizing Advanced Techniques with SAS Reports
      Build advanced reports with SAS Web Report Studio
      Create and use SAS report templates
      Link reports in SAS Web Report Studio
      Schedule and distributing SAS Reports
      Build SAS reports with SAS Enterprise Guide
      Create shared prompts
  • Utilizing Multidimensional (OLAP) Data Sources
      Apply Online Analytical Processing concepts
      Build an OLAP cube with SAS OLAP Cube Studio
      Build an information map from a SAS OLAP Cube

SAS BUSINESS INTELLIGENCE OVERVIEW

SAS Business intelligence has analytical capabilities like statistics, reporting, data mining, predictions, forecasting and optimization. They help in getting data in the format desired. It helps in improving quality of data.

SAS has developed end to end business intelligence solution named as SAS Enterprise Intelligence Platform. It enables the users to extract and transform enterprise wide data into fully integrated reporting warehouse, leading to more usable business data and more effective decision making.With the way; the platform is structured and the way metadata (The metadata is explored in details at the below sections) is handled; it becomes feasible to represent the single version of truth to the intended users.

SAS stores the data only once which and shares its metadata across all the applications dealing with that data which might be ETL tool trying to update that data or data mining tool trying to dig out that data for some ad-hoc queries or might be reporting tool producing monthly report for the business.

SAS is platform designed for Business intelligence solution.It has got different parts or tiers. The metadata sits alongside these tiers and works as glue to stick all these layers together. There are 4 different tiers; Data tier, Server tier, Client and Web tier.

All tiers can have been installed on the same machine or might be on different machines; however it is common practise to have server tier and web tier on one machine and data tier and client tier on different machines.

SAS application server is a way of grouping together different logical servers.A logical server is nothing but a group of one or more servers. Might be a group of logical workspace servers; a group of many workspace servers.Or a logical stored process servers etc.On SAS Application servers these different types of logical servers are usually grouped together. Different logical servers taking part to form SAS application server are SAS Work space servers, SAS Stored process servers, SAS OLAP Server, SAS Grid Server, SAS Batch Server and SAS/Connect Server.

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