Part a data collection presentation and analysis

In general, the forces of competition are imposing a need for more effective decision making at all levels in organizations. Progressive Approach to Modeling:

Part a data collection presentation and analysis

Steps for presenting and analyzing data: Frame the objectives of the study and make a list of data to be collected and its format. Change the format of data, i. Analyse trends and relate the information to fulfill the objectives. A presentation should have a predefined sequence of arguments being made to support the study.

Start with stating the Aim of study and the objectives required to reach the aim.

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Break the objectives in multiple parts and make a list of data to be collected, the sources of data, form in which data exist and needs to be obtained, conducting a primary survey for information which does not exist. Form and explain the methodology adapted to carry out a study.

Data collection through primary survey needs to have well thought of sampling methods. This will help in reducing the efforts and increasing efficiency.

Present only the required information and skip the background research to make your point more clear. Do not forget to give credits and references in the end and where ever required.

The presentation can be done using software such as Microsoft Powerpoint, Prezi, Google Analytics and other analytic software.

It can also be done by making models, presenting on paper or sheets, on maps or by use of boards. The methods selected depends on the requirement and the resources available.

The data thus obtained from multiple sources like Census department, Economics and Statistics Department, Election Commission, Water Board, Municipal Bodies, Economic surveys, Website feedbacks, scientific research, etc.

Data is also required to forecast and estimate the change in the requirement of various resources and thus provide them accordingly. Phasing and prioritization form another important part for the effective implementation of the proposals.

Different types of charts which can be used for data presentation and analysis. These are one of the most widely used charts for showing the grown of a company over a period. There are multiple options available like stacked bar graphs and the option of displaying a change in numerous entities.

These look as shown in the image below: Methods of data collectionData Processing Line Chart: These are best for showing the change in population, i. These also work well for explaining the growth of multiple areas at the same time. As the name suggests it is a combination of more than one chart type.

The one shown in the figure below is a combination of line and bar graph. These save space and are at times more effective than using two different charts.

There can even be 3 or more charts depending on the requirement.THE GUIDE TO DATA STANDARDS Part A: Human Resources OVERVIEW Update 16, November 15, A-4 The Office of the Chief Information Officer (OCIO) coordinates maintenance activities on behalf of the responsible organizations.

Decision making under risk is presented in the context of decision analysis using different decision criteria for public and private decisions based on decision criteria, type, and quality of available information together with risk assessment.


We can work on PART A: DATA COLLECTION, PRESENTATION AND ANALYSIS [embedded content] Q1. Browse the Australian Bureau of Statistics webpage ( Part B: Short Answer Questions Q4.

The Government is contemplating a tax cut of $20 billion to boost the economy which is experiencing some recessionary pressure. Use the aggregate. Data Analysis illustrates the powerful Excel features to analyze data.

Combine, split, merge in Excel to better control the data cleansing of your raw data. Advanced IC Reverse Engineering Techniques: In Depth Analysis of a Modern Smart Card. Hardware attacks are often overlooked since they are generally considered to be complex and resource intensive.

Part a data collection presentation and analysis

May 11,  · Q1. Browse the Australian Bureau of Statistics webpage ( Download and plot the seasonally adjusted nominal GDP (in levels) and real GDP (in levels) for the period (in quarterly frequency) from ‘Table 1.

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