Marketing “If everything seems to be going well, you have obviously overlooked something”

Slides:



Advertisements
Similar presentations
Chapter 6 Forecasting.
Advertisements

19-1 Copyright  2010 McGraw-Hill Australia Pty Ltd PowerPoint slides to accompany Croucher, Introductory Mathematics and Statistics, 5e Chapter 19 Time.
CHAPTER 8: LINEAR REGRESSION
Copyright 2006 – Biz/ed Business Analysis.
1 Time Series Analysis Thanks to Kay Smith for making these slides available to me!
M ARKETING S TRATEGIES A NALYSING M ARKETS AND M ARKETING BUSS3.8 Analysing Markets and Marketing.
Grade 6 Data Management Unit
4.5 S CATTER P LOTS AND T REND L INES Create and interpret scatter plots. Use trend lines to make predictions. Objectives scatter plot correlation positive.
EXAMPLE 1 Describe the correlation of data Describe the correlation of the data graphed in the scatter plot. a. The scatter plot shows a positive correlation.
HL MARKETING THEORY SALES FORCASTING IB BUSINESS & MANAGEMENT: A COURSE COMPANION, 2009: P
Topic 4 Marketing Marketing Planning HL ONLY. Learning Objectives Analyse sales-forecasting methods and evaluate their significance for marketing and.
A2 Business Studies Unit 3. Aim: Understand the use of correlation and ICT in marketing. Objectives: Define correlation. Explain correlation relationships.
Scatterplots Grade 8: 4.01 & 4.02 Collect, organize, analyze and display data (including scatter plots) to solve problems. Approximate a line of best fit.
Represent Functions as Graphs
CLASS B.Sc.III PAPER APPLIED STATISTICS. Time Series “The Art of Forecasting”
Chapter 2 – Business Forecasting Takesh Luckho. What is Business Forecasting?  Forecasting is about predicting the future as accurately as possible,
Graphing. The Important Elements of a Graph  Horizontal Axis (X-Axis)  The Independent Variable. A change in this variable affects the y variable. 
Aim: How do scientists interpret data (Part 3)? Do Now: Copy the following: Line Graph - A graph that is used to display data that shows how one variable.
Formulating a Problem for Systems Analysis. Steps to uncover structures Formulate the problem Identify key variables in the situation (key structural.
Graphing Techniques What’s a graph?  Why do we need to make graphs?
Then/Now You wrote linear equations given a point and the slope. (Lesson 4–3) Investigate relationships between quantities by using points on scatter plots.
CHAPTER 38 Scatter Graphs. Correlation To see if there is a relationship between two sets of data we plot a SCATTER GRAPH. If there is some sort of relationship.
 Graph of a set of data points  Used to evaluate the correlation between two variables.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Time Series Forecasting Chapter 16.
IB Business Management
Chapter 6 Business and Economic Forecasting Root-mean-squared Forecast Error zUsed to determine how reliable a forecasting technique is. zE = (Y i -
Analyze a graph EXAMPLE 4 The graph shows guitar sales (in millions of dollars) for a chain of music stores for the period 1999–2005. Identify the independent.
INTERNAL ACHIEVEMENT STANDARD 3 CREDITS Time Series 1.
Bivariate data are used to explore the relationship between 2 variables. Bivariate Data involves 2 variables. Scatter plots are used to graph bivariate.
Warm Up 1.What does the data to the right tell you? 2.Are there any trends that you notice about plant height?
Time Series A collection of measurements recorded at specific time intervals.
GRASPING GRAPHING. Graphs are visual representations of data you collect in an experiment. There are many types of graphs including: bar, line, scatter.
Chapter 2 – Linear Equations and Functions
EXAMPLE 1 Graph a function
Unit 1: Scientific Process. Level 2 Can determine the coordinates of a given point on a graph. Can determine the independent and dependent variable when.
Correlation The apparent relation between two variables.
Jon Curwin and Roger Slater, QUANTITATIVE METHODS: A SHORT COURSE ISBN © Thomson Learning 2004 Jon Curwin and Roger Slater, QUANTITATIVE.
Sales forecasting Definition: What decisions could ride on sales forecasting? What problems could a business face if they do not effectively forecast sales?
Learning Objectives Describe what forecasting is Explain time series & its components Smooth a data series –Moving average –Exponential smoothing Forecast.
BUSINESS ANALYSIS AND FINANCIAL POLICY UPSA – LEVEL 300 Mr. Charles Barnor, Mr. Danaa Nantogma and Mr. K. Fosu-Boateng 1.
The Scientific Method: How to solve just about anything.
Time Series and Trend Analysis
AS91580 Investigate Time-Series Data Internal, 4 credits Investigate Time-Series Data Internal, 4 credits.
AIM: What are Double Line Graphs?.
How to Read, Develop, and Interpret GRAPHS!  OBSERVATIONS: often are recorded in a data table  INTERPRET (make inferences of) your  DATA TABLE by performing.
Time Series - A collection of measurements recorded at specific intervals of time. 1. Short term features Noise: Spike/Outlier: Minor variation about.
Graphing Techniques and Interpreting Graphs. Introduction A graph of your data allows you to see the following: Patterns Trends Shows Relationships between.
1.6 Understanding markets. Candidates should be able to: give examples of types of markets explain the concept of demand define market segmentation list.
Chapter – Scatter Plots and Correlation. Scatter plot – graph of a set of data pairs (x, y) Correlation – relationship between the ordered pairs.
Scatter Plots and Lines of Fit (4-5) Objective: Investigate relationships between quantities by using points on scatter plots. Use lines of fit to make.
Effective marketing Candidates should be able to: Define marketing (i.e. explain the purpose) Define niche and mass marketing Analyse the benefits and.
6-1. McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved. Market Potential and Sales Forecasting Chapter 06.
Sales forecasting. Syllabus Candidates should be able to: explain the purpose of sales forecasts assess factors affecting sales forecasts: consumer trends,
Quantitative Sales Forecasting
Business Analysis.
Look at the following graph?
Chapter 2 Mathematical Models.
“The Art of Forecasting”
Moving Averages OCR Stage 8.
Moving Averages.
Collecting & Displaying Data
Statistics and Probability-Part 9
Represent Functions as Graphs
Algebra Review The equation of a straight line y = mx + b
BEC 30325: MANAGERIAL ECONOMICS
Today we are going back in time to help us predict the future!!!
TOPIC: Topic 4: Marketing LESSON TITLE: Sales Forecasting (H/L)
Business Analysis.
Moving Averages.
Presentation transcript:

Marketing “If everything seems to be going well, you have obviously overlooked something”

Marketing Market Analysis Candidates should be able to: give reasons for market analysis explain the value of market analysis use moving averages, test markets, extrapolation and correlation to analyse markets describe situations where information technology may be used in analysing markets evaluate difficulties in analysing markets

Marketing Market Analysis Market analysis involves looking at data and identifying trends. Reasons for analysing markets include:

Marketing Market Analysis Value of market analysis:

Marketing Market Analysis A trend is the u________ pattern of growth or decline within a set of data. Trends can only be seen with a reasonable amount of data – one or two figures is not enough!

Marketing Market Analysis Methods of trend analysis include: extrapolation moving averages test markets or market research correlation ask ‘experts’

Marketing Market Analysis Extrapolation analyses the p________ performance of a variable such as sales and extends this into the f__________. Extrapolation can be done by ____ but a more scientific approach is to use moving averages. Use the data on the next slide and work out the three period moving average.

Marketing Market Analysis Yearperiodsales3 period total3 period moving average = 1616 ÷ 3 = = 1515 ÷ 3 =

Marketing Market Analysis Yearperiodsales4 period total8 period total4 quarter moving average

Marketing Market Analysis Yearperiodsales4 period total8 period total4 quarter moving average = =4848÷8= = =4949÷8= = Etc.

Marketing Market Analysis The use of moving averages should smooth out the impact of random variations in data and longer-term cyclical factors, thus highlighting the trend. If asked to plot a graph you should plot sales on the y- axis and time on the x-axis

Marketing Market Analysis By predicting trends, firms are able to This is invaluable:

Marketing Market Analysis Need to be able to draw five types of trend: Positive expanding market Negative declining market S-trend (product life cycle) Zero trend No trend

Marketing Market Analysis What are the drawbacks of extrapolation?

Marketing Market Analysis IT can be used to analyse markets by:

Marketing Market Analysis The advantages of IT are that However there are disadvantages –

Marketing Market Analysis Difficulties in analysing marketing data extrapolation: as earlier test markets: market research: ask ‘experts’: