Business and Management Analysis Training Courses
Read feedback and comments from TQO Business Management Analysis students.
Sample Slides are provided with some courses below. (Click to navigate through the slides).
Course Listing
Overview of the Analysis Process (4 days) 2.4 CEU - The course provides a solid foundation in management analysis techniques. This course is designed to orient a new analyst and enable employees who work closely with experienced management analysts to provide more effective assistance. Participants become acquainted with the process of analysis and various data-gathering methods, so that they can work independently on parts of studies or complete an elementary study with minimum supervision. The course also helps prepare those who have the potential for management analysis positions but do not currently possess the required technical knowledge. Sample Slides
The Design and Conducting of a Study (4 Days) 2.4 CEU – Analysts need a broad range of effective study preparation techniques and well-founded research design methodologies for everyday use. This course will help you to develop work measurements to ensure consistency and effective analysis techniques to ensure the presentation of solid alternatives for decisions by management.
Planning (4 Days) 2.4 CEU – Mark Twain said, “Data are like garbage. Ya’ gotta know what you’re gonna do with it before you collect it.” Before beginning any study, an analyst must have a detailed plan. The nature of the problem must be examined, assumptions must be clarified, and detailed alternatives must be examined. This analysis uses tools such as tree diagrams, paired comparison and weighted rating to prioritize options. Alternatives are compared using payoff tables and decision trees. Cause-and-effect diagram and 6S analysis allow detailed analysis of concerns. The actual plan is detailed using milestone charts, Gantt charts and precedence diagrams. Sample Slides
Collecting Data (4 Days) 2.4 CEU – After creating a study plan, the analyst must determine the most effective and efficient way to gather data. Data collection involves some basic tools: observation, interviews, and questionnaires. The course examines such techniques as work area inspections, physical layout analysis, work sampling and work distribution analysis. The course provides hands-on experience flow charts and personnel interviewing skills. Within the course, participants examine development of effective survey tools and instruments. To assure data validity, the course deals with procedures for selecting a sampling procedure. Sample Slides
Analysis of Data (4 Days) 2.4 CEU – After collecting at, the analyst must be able to translate the data into actionable information for the organization. This course focuses on the organization of data to extract information. This includes understanding of frequency distribution, measures of central tendency and of dispersion. It deals with statistical methods to analyze the relationship between cause and effect, and the potential relationship between multiples causes and multiple effects. Sample Slides
Program Evaluation (5 Days) 3.0 CEU - Program evaluation requires the systematic, explicit examination of alternative ways to reach public objectives. The process takes in the steps of estimating the future costs, effectiveness, and other significant impacts of each alternative. This course provides the tools to examine both the importance and the feasibility of a program. Participants discuss both the technical and political variables of a program. Sample Slides
Root Cause Analysis (3 Days) 1.8 CEU – Root cause analysis (RCA) is an after-the-fact process designed for use in investigating and categorizing the specific causes of events. The technique to allow investigators to determine why and how a failure event occurred. The analysis enables the development of effective recommendations and the creation of specific, workable corrective measures to prevent the reoccurrence of similar events in the future. Sample Slides
Cost Benefit Analysis (3 Days) 1.8 CEU – Allows hands-on examination of the basic principles of cost-benefit analysis. The course allows you to understand the purpose and objective of cost-benefit analysis, to utilize the concepts of cost, present value and discount, to determine alternatives and present and effective cost-benefit analysis. Sample Slides
Problem Solving and Decision Making (3 Days) 1.8 CEU – This course is designed to increase the speed and quality of both your problem solving and decision making skills. Review ways to avoid decision making traps. Gain the support you need to make your decisions work. Build people's confidence in your ability to lead or participate in the decision-making process. Involve the right people at the right time to avoid unexpected negative consequences of problem solving.
Process Planning with Flowcharts (2 Days) 1.2 CEU - Understanding a process often takes extensive time and extended discussions. Even then, the process may not be fully understood. This class provides a graphical means to fully examine the entire process, including personnel, costs, time and productivity issues. This course is essential to process improvement and reengineering efforts. Sample Presentation Sample Slides
Benchmarking Effectively (3 Days) 1.8 CEU - In today’s highly competitive environment, organizations must create a focus on both its customers requirements and its competitors competence. Benchmarking is a singularly effective methodology to gain and maintain an external focus based on measurable objectives.
Business Process Reengineering (BPR) (3 Days) 1.8 CEU - Faced with the pressures of reduced budgets, downsizing and ever increasingly demanding customers, organizations must find different ways of doing business. This course provides the road map for radically modifying or eliminating existing processes to increase organizational productivity with or without the use of technology.
Basic Statistical Concepts (4 Days) 2.4 CEU – Believable analysis requires mastery of basic statistical concepts. Designed to help those without prior knowledge or experience with statistics, this course covers basic statistics, including types of data and statistics, frequency distribution, measures of variation, sampling, correlation and regression analysis, even if you have no prior knowledge of the subject. The course has practical examples of random sampling applications and the significance of the normal distribution, demonstrating the use of Excel spreadsheets for calculation of basic statistics. Sample Slides