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BUSINESS ANALYSIS AND FINANCIAL POLICY

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Title: Introduction to Business Analysis Author: bash Last modified by: DR DANNA Created Date: 10/13/2005 6:03:42 PM Document presentation format – PowerPoint PPT presentation

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Title: BUSINESS ANALYSIS AND FINANCIAL POLICY


1
BUSINESS ANALYSIS AND FINANCIAL POLICY
  • UPSA LEVEL 300
  • Mr. Charles Barnor, Mr. Danaa Nantogmah and Mr.
    K. Fosu-Boateng

2
Week 1Introduction to Business Analysis and
Financial Policy
  • INTRODUCTION Week 1
  • BUSINESS STRATEGY ANALYSIS Week 23
  • INVESTIGATION TECHNIQUES Week 4-5
  • CONSIDER PERSPECTIVES Week 6
  • ANALYSE NEEDS Week 7
  •  CASE STUDY PRESENTATIONS Week 8
  •  INTERIM ASSESSMENTS Week 9
  •  EVALUATE OPTIONS Week 10
  • CORPORATE FINANCIAL POLICY DECISIONS Week 11
  •  DEFINE REQUIREMENTS Week 12
  • REVISION Week 13

3
Topic 1Introduction to Business Analysis and
Financial Policy
  • The rationale for business analysis
  • The development of business analysis
  • The scope of business analysis
  • The responsibilities of a business analyst
  • The Business Analysis Maturity Model
  • The competencies of a business analyst

4
Introduction
  • Business analysis is the set of task and
    techniques use to work as a liaison among
    stakeholders in order to understand the
    structure, policies and operations of an
    organization, and recommend solutions that will
    enable an organization to achieve its goals
    (International institute of business analysis,
    2008).
  • The development of business analysis as a
    professional discipline has extended the role and
    responsibilities of the business analyst (BA).
    Business analysts investigate ideas and problems,
    formulate options for a way forward and produce
    business cases setting out their conclusions and
    recommendations.

5
The development of business analysis
  • Business analysts have responsibility for the
    following areas
  • Identifying the tactical options that will
    address a given situation and will support the
    delivery of the business strategy
  • Defining the tactics that will enable the
    organization to achieve its strategy
  • Supporting the implementation and operation of
    those tactics
  • Redefining the tactics after implementation to
    take account of business changes and to ensure
    continuing alignment with business objectives

6
There is a chain of reasoning that leads from the
statement of a problem to the implementation of
solutions
7
Chain Of Reasoning
Stakeholders
  • Change Requirements must be assumed to be wrong
    until they are proved to be right

8
Fundamental Components of Business Analysis
9
All the Links in the Chain Of Reasoning
Description
Driver
The problems / opportunities that the business
face
Addressed as measured by
The measures and targets that will enable us to
declare the change project has been successful
business Objective
Delivered by
Definitions of what changes are required that
will affect the measures of success (objectives)
sufficiently for the business to be declared
successful
Change Requirement
Enforces
What rules must be implemented by the changes
specified in the requirements
Business Rule
10
Business Analysis
11
Business Analysis
  • Purpose
  • Identify where the business stands in relation
    to rivals, etc.
  • Collect and use data to inform business decision
    making
  • Identify strengths and weaknesses in the
    business
  • Use information to inform strategic planning

12
Business Analysis
  • Method
  • Collection of data from a range of sources
  • Market research
  • Past sales data
  • Market growth data
  • Specialist analyst data
  • Secondary data, e.g. Mintel

13
Data
14
Analysis
  • Range of methods used to analyse data
  • Trends
  • Growth rates
  • Nominal
  • Average
  • Mean
  • Median
  • Mode
  • Variance
  • Standard deviation
  • Range
  • Time series analysis
  • Scatter graphs
  • Correlation

15
Trends
  • Looking for patterns in data collections
  • Frequency and reliability of trends
  • Impact of external factors, e.g. seasonal
    variation, random events, cyclical trends

16
Averages
  • Averages are a measure of central tendency the
    most likely or common item in a data series
  • Calculated through 3 measures
  • Mean
  • Median
  • Mode

17
Averages
  • Mean Sum of items in the series/number of
    items
  • X Sx
  • x
  • Median middle number in a data series 0.5
    (n1)
  • Mode the most frequently occurring value in a
    data series

18
Variance
  • Averages have limitations measures of data
    spread used to assess width
  • Range difference between the highest and the
    lowest value
  • Standard Deviation used to measure the variance
    of the data set from the mean can highlight
    how reliable the mean is as being representative
    of the data set

19
The Standard Deviation
S (xi x )2
S
n
20
Correlation
  • The degree to which there is a relationship
    between two or more random variables
  • The closer the relationship the higher the degree
    of correlation
  • Perfect correlation would be where r 1

21
Time-Series Analysis
  • Used to analyse movements of a variable over a
    time period usually years, quarters, months,
    etc.
  • Importance of assessing the
  • Trend
  • Seasonality
  • Key moments
  • Magnitude

22
Presentation
  • Graphs
  • Charts
  • Tables
  • Index numbers Method of showing average changes
    in large amounts of data
  • Laspeyres Uses a base period weighting
    measurement
  • Paasche Uses a current price weighting
    measurement

23
Forecasting
24
Qualitative
  • Focus groups - a group of individuals selected
    and assembled by researchers to discuss and
    comment on, from personal experience, a topic,
    issue or product
  • User groups similar to focus groups but
    consisting of those who have experience in the
    use of a product, system, service, etc.
  • Panel surveys repeated measurements from the
    same sample of people over a period of time
  • Delphi method calls on the expertise and
    insights of a panel of experts to help with
    forecasting seen as being more reliable than
    data analysis only
  • Could be drawn together from around the world as
    there is no need to have people together at the
    same time
  • In-house judgements Use the expertise and
    judgements of those involved in the business in
    aiding and making judgements

25
Quantitative
  • Makes use of all the statistical data collected
    by the firm and by other firms/organisations to
    help inform decision making
  • Surveys
  • Sales data
  • Impact on sales
  • Primary data collected by the firm themselves
  • Data collected by others and used by the firm,
    e.g. Office of National Statistics (ONS), Gallup,
    Mori, Mintel

26
Forecasting
  • Advantages and disadvantages
  • Data from several years can give accurate guides
    to future performance
  • Statistical techniques can make the data
    informative and useful
  • All depends on the quality of the data and the
    accuracy of the techniques used to analyse the
    data

27
  • Q A
  • THANK YOU
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