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Decision making and problem solving techniques for business data processing scenarios are discussed. Students learn the current data acquisition, filtering, processing, and query methods for strategic business decisions. Automated solutions for increased business efficiency in the form of macros, scripts, and similar other techniques are explained.

Foundations of business data warehousing concepts and their implementations in various business settings are reviewed. Business data warehouse development methodology and data warehouse planning stages are discussed. Identification of business requirements, feasibility analysis, and development of logical data warehouse models will be discussed. The students will learn the development of the data architecture as well as the implementation and administration of the data warehouse. 

Web Analytics is the measurement, collection, analysis and reporting of detailed statistics about visits to a web site. Internet Analytics provides important information in order to optimize and improve the web site usability and performance. This course discusses a number of analytics techniques such as log files, cookies, web bugs, and paper tagging. It also covers the key performance indicators, website metrics. Additionally, it demonstrates how to setup and use some of the leading web analytics tools available such as Google Analytics and Visistats. These tools will help you track your Twitter, Facebook, and other social media marketing (SMM) technologies and determine if your SMM is working.

This hands-on course requires students to demonstrate proficiency in different aspects of business analytics with a semester project. The students are expected to employ the skills presented throughout the curriculum in an organized manner to solve realistic business data management problems. Mastery of skills for the student’s identified concentration is expected.