Correlation analysis SPSS is a significant concept that is used in examining data gathered to assist leaders in gaining useful insight regarding the relationship among various business outcomes. The relationship between outcomes in business is to be understood in making functional decisions that can boost the growth of the business. In finding correlation coefficients or performing correlation analysis in business, SPSS software is always used. For instance, a business may be involved in analysing trends of sales of their products to determine whether the lower pricing strategy is effective over the higher pricing strategy to improve sales in the given period. In case the pattern is determined, the leaders can make effective decisions regarding the optimal price to be set for the products to get the desired level of sales in the market. Correlation in other words can be referred to as the identification of repeated patterns as more than one instance is required for creating a correlation. During the execution of a correlation analysis, the increased availability of data points assures increased results of the analysis. This is essential in gathering sufficient knowledge before relying on correlation in making decisions for business purposes.
In linear correlation data analysis SPSS which occurs between two variables, the strength is identified by the extent to which they can move together within a data set. The use of Pearson’s correlation coefficient analysis indicates that the correlation values are between -1 and +1. The weaker correlations indicate values near 0 whereas the stronger correlation is present near the values of +1 or -1. The weaker correlation is indicated to have less power of prediction but is useful in making valuable insights regarding business outcomes. The poor strength of the correlation coefficient does not indicate that the values gathered are useless. It indicates that there may be an option for the organisation to make cost savings by analysing the data. For instance, an organisation notices that the relation between radio Ads, the amount of money spent on marketing, and sales boosts are not found to be strongly correlated. It indicates that the organisation is to decide on lowering advertisement to be done through radio regarding the products to save the unnecessary cost of advertising and invest the money in other forms of online promotion of products.
The correlation analysis can be divided into two main types which are positive and negative correlation data analysis. The positive correlation analysis which is often gathered through SPSS data analysis results indicates that one of the variables considered for analysis increases while the other also shows an increase. This nature of the relationship is often seen in healthy marketing performance and customer buying patterns. For example, a business can see a positive correlation analysis between their advertisement and sales indicating that their advertisement effort to promote the product has increased and sales also grew at the same time. The negative correlation analysis is one when one of the selected variables shows an increase while the other variable shows a decrease in analysis. For instance, higher quality customer services are effective in lowering complaints by customers. The relationship helps allow the business to examine the success of newly hired employees in offering customer services.
The correlation analysis gathered through SPSS Help results is not considered to be causation results. It is essential to be considered in business to understand the difference between avoiding falling into pits during decision-making and causing devastating decisions in managing business. This indicates that the correlation analysis results are not considered as one variable is causing influence on another variable as they are interrelated. For the leaders in business to gather meaningful ideas from the conclusion of analysed data, it must be taken into account that any possible factors that could influence the observed correlation such as trends in the market towards buying certain products may have led the business to achieve decreased sales of certain products and not due to their failure in delivering attractive advertisement of their products.
It is suggested that the leaders perform additional research to understand the inner reason for the observed correlation before developing any decision to manage the business. The business leaders think that because two allocated variables are always correlated, it does not indicate that they are indeed in the relationship that will be considered in the future. Therefore, leaders are always required to consider the outside influences that may affect the relationship in future endeavours. The correlation analysis uses data to help in making decisions that are related to marketing campaigns along with workplace efficiencies and product offerings. For instance, the positive relation analysis information shows that there is increased employee satisfaction at work with increased paid leave provided to them. However, poor correlation analysis results indicate that employees show poor working performance with increased working days.
Thus, the decision to promote effective working by employees in the business organisation could be taken that leaves are an essential factor to be considered in boosting individuals to show enhanced work. Another example indicates that businesses that perform online marketing campaigns over social media show an increased boost in sales of GenZ products. However, poor correlation analysis is seen when the offline advertisement is used for marketing campaigns about sales of GenZ products. This indicates the leaders have decided to focus on increasing online marketing campaigns in selling GenZ products.
Correlation analysis is used in business to understand the effect of initiatives of business on their desired outcomes. The correlation analysis is an effective qualitative data assessment performance method of initiatives used in business to determine the things that work and make decisions accordingly in managing the business. The correlation analysis results in business help leaders to identify hidden opportunities, refine the use of strategies, determine ways to allocate appropriate resources, identify proper trends, and others.
Thus, it can be concluded that correlation analysis could be used in business in making major decisions regarding the key variables to be used in promoting business. It also helps business leaders determine the perfect decision to be made for sales improvement, employee satisfaction, resource allocation, and others