Unit 217 Organise and Report Data Essay

1.1 Describe the purpose and benefits of organising data so that it can be analysed

1 a). Data is defined as the collected details from which numerical information is derived. The collected data is processed and organized into vital statistical information which can be in the form of facts or figures. This data is then interpreted or analyzed through statistical methods for the purposes of gaining knowledge about a phenomenon, which can help us to make informed decisions.

Data management is vital to any business as this is a key tool to an organisations business improvement, as you can refer back to data, and compare them against benchmarks. Analysing data can provide evidence for possible future structure such as identify trends, as well as indicate where improvements can be made. However there are strict procedures to be followed when collecting and storing data.

Data must be standardized for accurate correspondence and analysis. The data which was standardized is always ready to be shared across the organization. The standardized data is much useful during the data entry. It is easy to collect and secure the important data and reports. These data and reports are prepared at a specific period of time during a year, they are well defined and well organized.

When you have changed the name of your file; click enter and the file name will be changed. Once the file name has changed it will still be in the same place as before (it won’t change into alphabetical order, unless you wanted to change them to that, to make it easier to find).

·         Reporting in its broadest sense, which takes place from data in the warehouse and/or the data marts: reporting can take the form of everything from printed output and Microsoft Office Excel® spreadsheets through rapid multidimensional analysis to data mining.

When a business use statistics it allows them to make decisions based on the data that is collected whether it is good or bad for the company. Statistics is basely the numerical description of a sample population. We use statistics is part of our everyday lives especially in the work setting. For example, a survey was taken on my job, the findings were 90% of the employees have master’s degrees. But looking at the parameter it focused on the entire population. In order to work at Shelby County, every employee is required to hold a Bachelor’s degree. A researcher can use statistics with quantitative analysis by describing, summarizing and comparing the data. For example, a home health agency uses data for their program and policy and procedures. By grouping their clients by their age, demographics, and their race; each one can be formatted in separate columns, a defined variable. The data will be able to show the output (tables, graphs, and statistics) can be shown in a separate window. Statistics can be categorized as descriptive and inferential statistics.

What makes them different from search engines are because directories are made and kept up by human editors.

Data processing means assembly and manipulation of items of data so that it produces meaningful information. Data means known facts that can be recorded and have implicit meaning.

Reporting is advanced, the availability of multiple graphic formats in a unified interface helps to create reports seamlessly. Navigation dimensional integrated reporting is also available.

Usability – This is ensuring that the data is easy to use and trying to match the user’s needs more effectively.

Reports-this is a summary of the information presented on the table. It is usually used for readability and presentations. Reports assist in answering specific questions. For example, a report

Abstract names of files and directory pathnames in JAVA is represented by File. Actual directory is referred by File object present on

This paper is based on our work experience with Office-line. This company prepares standard times for companies in the industrial sector. Standard time is productive time that is required and achieved by an employee. Standard time contains everything that is necessary for the work specified to be completed. The reason why Office-line only prepare standard times for the industrial sector rather than the construction industry is due to the repetitive nature of the work. One example is the car industry which uses assembly lines. In the construction sector, this kind of repetition is not so evident. There is repetitiveness in some

systematic procedure to collect essential data and these data should be adequate in Quantity and Quality.