Write a report on Data Management which gives at least 2 reasons why organisations need to collect HR data, identifying at least 2 types of data to be collected and explain how to each supports HR. You should also describe 2 methods of storing records and the benefits of each. Giving an explanation of 2 essential items of UK legislation relating to the recording, storing and accessibility of HR data. Data management is administrative process by which the required data is acquired, validated, stored, protected, and processed, and by which its accessibility, reliability, and timeliness is ensured to satisfy the needs of the data users. Data collection by HR in an organisation is very important as it is usually for a variety of reason, including Equal opportunities monitoring, equal pay audits, recruitment planning, assessing skills balance, assessing their performance against targets such as the percentage of women in management roles.
Meeting legislative and regulatory requirements this reason would be to ensure that all legal requirements are meet and not fallen short by means of complying with the minimum wage, working time regulations, time off for training and Health and safety. Two type’s data are Qualitative and Quantitative data. Qualitative data is a categorical measurement expressed not in terms of numbers, but rather by means of a natural language description. In statistics, it is often used interchangeably with “categorical” data. This type of data although cannot be measured helps HR to build an idea of how personnel feel or the perception they have of a situation so therefore having a better understanding of how to improve productivity. It may use ordinal variables such as strongly disagree, disagree, neutral, agree, and strongly agree. Quantitative data Quantitative data is a numerical measurement expressed not by means of a natural language description, but rather in terms of numbers.
However, not all numbers are continuous and measurable. Probably the most common scale type is the ratio-scale. Observations of this type are on a scale that has a meaningful zero value but also have an equidistant measure (i.e., the difference between 20 and 30 is the same as the difference
between 110 and 120). For example, a 20 year-old girl is twice as old as a 10 year-old girl. Since you can measure zero years, time is a ratio-scale variable. This type of data helps HR to understanding why certain things are happening in the organisation as can be measured therefore a definite solution can be found. The methods of storing records could be in the form of hard and soft copies.