Business Intelligence

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Welcome to Data Management Wiki!
Data Management Wiki, started in September 2007, aims to provide information about Data Management, Data Analysis and SAS Programming Information.
... so start your exploration by choosing any of the categories below.
Survey Methods
Capturing of Data is the first step towards creating a good suite of business intelligence tools. Thus it is of vital importance that you capture relevant data and have the data easily integrated into your data infrastructure. Having a good understanding of how to capture data would improve the efficiency of later stages in the data value chain. Structuring the data can also ensure that you capture 'good quality' data, data that reflect the true picture.

Enter Survey Methods for more information on how to capture good quality data

Data Warehousing
Having the right Data Warehouse Structure can greatly improve your network and improve the efficiency of your analysts in gathering the data that he need.

Enter Data Warehousing for more information Data Warehousing

Data Analysis
The final stage of the data value chain. Knowing what are the statistical methods to use and how do we start analysing our data is important, as it will cut down on much work. In this category, you will find the statistical methods that are available, including data mining and how they can relate to business, helping executives to make correct and fast business decision. There will be a strong emphasis on using SAS programs for statistical analysis.

Enter Data Analysis for more information on Data Analysis.

SAS Programming
SAS Programming Skills is a highly demanded skill in United States and Europe. And its popularity is gathering pace in Asia as well. Explore this category to find out more about this highly sought after skills. There will be SAS codes that can help in your data management.

Enter SAS Programming for more information on SAS Programming.

NOTE: This site is not part of or affiliated to SAS Institute.


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