Applied Business Analysis by Arun Sukumar, Lucian Tipi, Jayne Revill

applied-business-analysisThis book relies on a large number of practical examples, with realistic data sets to support the business analysis process. These examples have been refined over time by the authors and have been used to support large numbers of learners that want to forge a professional career in business / marketing / human resources / accounting and finance. The aims of the book are to stimulate a structured approach to business analysis processes in organizations, Develop an awareness of and competence in using structured business analysis frameworks and models to support information extraction from data sets, Illustrate the added value and analytical power of using structured approaches and data analysis software when working with organizational data sets. Having worked your way through the content of this book, you will be able to: Apply appropriate data analysis techniques and models for working on organizational data sets, Evaluate your options in terms of which techniques to apply to real world organizational problems, Use appropriate software tools to enable data analysis on organizational data sets. This book has been designed to introduce business analysis concepts and example of increased difficulty throughout, starting with introductory concepts and culminating in financial analysis and that is the way in which the authors recommend that you explore it. However, given the self-contained nature of the examples in the book and depending on your level of ability, feel free to explore it in the way that feels more natural to you, while serving your learning purposes. At this point the authors wish you an interesting journey through the book, knowing that whether you are a business analysis beginner or a seasoned professional the examples given through the book will enhance your portfolio of data analysis techniques.


In this book the readers will read Introduction to fundamental concepts for Business Analysis, Getting to grips with the basics, Working through the basics, Decision making, Data and information, Data and information, Sources of Data, Collecting Data, Sampling, Information Requirements for effective decision making, Quality of Information, Conclusion, Exploring Data Deriving information, Storing and structuring Data, The organization of Data, Tabulation, Ordering Data, Frequency Distribution, Grouped Frequency Distribution, Cumulative Frequency Distribution, Percentiles, Presenting information pictorially, Conclusion, Summarizing Data, Some fundamental concepts for summarizing data, Measures of the Typical Value or Average (Measures of Location), Chapter references, Measuring and Evaluating Variation in Data Values, Percentage change, Weighted index numbers, Deflating at time series – using a value index as a deflator, Correlation Analysis, Scatter plot, Strength of the Linear Association – the Correlation Coefficient, Regression Analysis, The Coefficient of Determination, Estimation using the linear regression model, Time series and Forecasting, Time series components, Evaluation and comparison of models, Financial Modeling, Costs, Revenue, Profit and Contribution, Using a graph to illustrate financial models, Non-linear relationships, Other useful types of business relationships, Financial Analysis Money – Interest and Time Value, Applications of interest rate calculations, Present value, Brief concluding remarks and considerations and much more.

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