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Forecasting Monthly Product Sales for Tech Tierra: A Comprehensive Analysis Using Time Series Methods Nova Southeastern University

Time series forecasting analysis for Tech Tierra's monthly sales data.

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    Forecasting Monthly Product Sales for Tech Tierra: A Comprehensive Analysis Using Time Series Methods Nova Southeastern University Nova Southeastern University H. Wayne Huizenga School of Business & Entrepreneurship Assignment for Course: Business Modeling QNT 5040 Submitted to: Phillip Rokicki Submitted by: Ralph Petit Date of Submission: 12/1/13 Title of Assignment: Case Analysis As part of the case study analysis for Tech Tierra, a Texas - based company, various forecasting techniques were applied to predict the company's monthly product sales for the period from September 2013 to August 2014. In your response, evaluate the effectiveness of the four forecasting methods used in the analysis: Moving Average, Simple Exponential Smoothing, Holt’s Linear Method, and Winter’s Method for Trend and Seasonality. Based on the Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values, explain why Winter’s Method is considered the best forecasting technique for Tech Tierra. Additionally, discuss the implications of accurate forecasting for Tech Tierra’s business operations, especially considering its expansion into new markets. Word Count Requirement: 600 - 800 words 4o mini

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    CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas or words, either quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course. Student's Signature: _ Ralph Petit _____________________________ ***************************************************************** Instructor's Grade on Assignment: Instructor's Comments: TITLE OF RUBRIC: Case Analysis (Page 1 of 2) Course: QNT 5040 LEARNING OUTCOME/S: CC4, 6, 7 & 8; (see syllabus) Date: PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk. Name of Student: VALIDITY: Best practices in Monte Carlo simulation. Name of Faculty: COMPANION DOCUMENTS: Assignment and format instructions, Case Earning maximum points in each box in ‘PROFICIENT’ column and / or points in columns to the right of ‘PROFICIENT’ meets standard. <<<<<<<<<< less quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . more quality >>>>>>>>>> Performanc e Criteria Basic Developin g Proficient Accomplishe d Exemplar y Scor e Identify the problem (CC4) Does not identify the problem, or does not identify the right problem. (0 pts) Identifies symptoms (5 pts) Identifies some elements of the problem. (10 pts) Substantially identifies the problem. (12 pt) Effectively and succinctly identifies the problem. (15 pts) Describes assumptions and methods (CC4) Does not describe assumption s and methods used Does not precisely describe the assumptions and methods used Somewhat describes assumption s and methods used Substantially describes assumptions and methods used Effectively describes assumptions and methods used

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    (0 pts) (3 pts) (7 pts) (8 pts) (10 pts) Calculate statistics using a spreadsheet (CC6) Does not calculate appropriate statistics using a spreadsheet and/or does not provide evidence of calculations (0 pt) Calculates appropriate statistics using a spreadsheet (most answers are not correct) ( 13 pts) Calculates appropriate statistics using a spreadsheet (not all answers are correct) (21 pts) Calculates appropriate statistics using a spreadsheet (most answers are correct) (25 pts) Effectively calculates statistics using a spreadsheet (almost all answers are correct) (30 pts) Explain implications of output of statistical analysis (CC7) Does not explain implication s of output of statistical analysis (0 pt) Partially explains implications of output of statistical analysis (3pts) Somewhat explains implication s of output of statistical analysis (7 pts) Substantially explains implications of output of statistical analysis (8 pts) Effectively explains implications of output of statistical analysis (10 pts) . . . continued . . . TITLE OF RUBRIC: Case Analysis, cont. (Page 2 of 2) Course: QNT 5040 LEARNING OUTCOME/S: CC4, 6, 7 & 8; (see syllabus) Date: PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk. Name of Student: VALIDITY: Best practices in Monte Carlo simulation. Name of Faculty: COMPANION DOCUMENTS: Assignment and format instructions, Case Earning maximum points in each box in ‘PROFICIENT’ column and / or points in columns to the right of ‘PROFICIENT’ meets standard. <<<<<<<<<< less quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . more quality >>>>>>>>>> Performanc e Criteria Basic Developing Proficient Accomplishe d Exemplar y Scor e Generates solutions based on analysis and context Does not generate appropriat e solutions based on analysis Generates solutions (does not justify conclusions) . Partially: *generates and justifies solutions based on analysis and Substantially: *generates and justifies solutions based on analysis and context; and Effectively: *generates and justifies solutions based on analysis and

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    (CC4) and context. (0 pt) (7 pts) context; and *justifies conclusions . (15 pts) *justifies conclusions. (17 pts) context; and *justifies conclusions. (20 pts) Uses prescribed format (including cover sheet and grading rubric) and writing style (language, grammar, punctuation, and spelling) (CC8) Does not use prescribed format and writing style (0 pt) May use prescribed format OR writing style (only one) (3 pts) Generally uses prescribed format and writing style (7 pts) Substantially uses prescribed format and writing style (8 pts) Effectively uses prescribed format and writing style (10 pts) Uses APA format (APA Style Manual 6.0) (CC8) Does not provide references. (0 pt) Does not apply APA style to references. (1pts) Partially applies APA style to references. (3 pts) Substantially applies APA style to references. (4 pts) Effectively applies APA style to all references. Optimal quality and quantity of citations. (5 pts) OVERALL GRADE (100 total possible points): % Comments: _______________________________________________________________________ _______________________________________________________________________ _______________________________________________________________________ _____________________________________________ Executive Summary Tech Tierra is a Texas based company , founded by Millie Granger and Jose Mendes, whose function is to involve older Hispanics of the area in the technology decision - making process. The company was founded in mid - 2004 with a single store in Lubbock and has grown significantly over the years to currently having eight stores in Lubbock, Austin, San Antonio, Houston, and is considering further expanding into the Dallas area. The aim of this case study was to forecast the monthly and annual growth of Tech Tier ra over a twelve month period from September 2013 to August 2014. We have used the various forecast analysis techniques, namely moving average forecast, simple expon ential smoothing forecast, Holt’s linear method for trends and Winter ’ s method for trend and seasonality to forecast the growth of the company over this

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