Business Intelligence and Data Mining

Learning Objectives

• To analyze the meaning of business intelligence.
• To discuss what is data.
• To inspect data analysis.
• To analyze how to develop business intelligence.
• To investigate performance dashboards.
• To explain KPIs and the development process.
• To analyze data mining meaning and fundamentals.
• To explain data warehouse.
• To discuss database structures.

Course Description

Business Intelligence is necessary at every step of business whether planning, growing, scaling, or day-to-day decision making. The cornerstone of business intelligence is data and its storage. It refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company's activities. It is a broad term that encompasses data mining, process analysis, performance benchmarking, and descriptive analytics.

Data mining is important due to the large data volumes generated by society. It is the process of finding anomalies, patterns, and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks, and more.

Attendees in this online CPE/CPD webinar will learn everything about Business Intelligence and Data Mining!

Following are the major topics of this CPE course on Information Technology:

• Meaning of Business Intelligence.
• Process of developing business intelligence system.
• Process of making business decisions.
• The process of analysis, how to develop dashboards, how to identify KPIs, and align with business needs.
• Meaning of Data and basics of database management and design.
• Data mining 
• How data mining can be used in business.

This course is not for you if you are looking to learn algorithms or real programming. In this CPD course speaker, Manish Gupta will focus on how you can use data mining techniques in understanding and resolving business problems.

Overview

• Management & Decision making

  13 mins
• What IT are available to support managers

  25 mins
• Multidimensional analysis or online analytical processing

  45 mins
• Good performance dashboard

  95 mins
• Characteristics of data warehouse

  153 mins
• Data warehouse development approaches

  190 mins
• Data mining at the intersection of many disciplines

  241 mins
• Association rule : Application example

  271 mins