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PostPosted: 1st September 2018, 09:09    Post subject: When management seeks for quality a Reply with quote

Today’s business environment is more competitive than it was before. It is very difficult to achieve continuous sustainable growth or hold the premier position in the competitive market. The organization that has got the privilege of first mover or early bird advantage also needs something more than a mere idea. In today’s competitive world where the customers have more choice Taron Johnson Jersey , access to global information and very particular about their want, management of any organization needs proper tool to come up with the better result and make the customer happy. Be it new product development Harrison Phillips Jersey , targeting new customer segment or streamlining production process, today’s management face greater challenges in terms of decision making. In this scenario proper implementation of statistical tools can solve the problem. Statistics deal with available data and come up with conclusion based on those real data. Statistical techniques provide more reliable solution than the other techniques and the gut feeling. It helps managers to deal with uncertainties with more confidence. Apart from that manager can take quick short term decision as well as long term decisions with the help of statistical tools.
Focusing on Future picture
The analysis through statistical tools provides management a forecast or a picture of the future market. This is a cost effective way to take future decisions. One of the common tests in statistics is trend analysis which analyzes the past trends of the market and predicts future on the basis of that. The main aim of using statistical tool is to focus on future rather than achieve short term goal based on the gut feeling of the managers. The statistical analysis is free from biasness which provide unbiased outlook of the target market. As a result most of the decisions taken by the management with the help of statistical tools are free from weird assumptions and are objective in nature.
Backing Judgments

Statistical analysis is free from biased subjective ideas and is dependent on real findings. Sometimes leaders are not in a position to take right decisions when they are not confirmed about the real outputs from the data. But statistical analysis is purely based on data which are free from weird subjective assumptions. Statistical analysis always comes with the concrete results along with hard evidence. It provides managers a platform where decision can be more risk free and move towards a right direction. Statistic can give the conclusion of entire targeted population by taking sample data. No other tools are effective to predict about the entire targeted population with the help of small sample.
Interactions and correlations between significant variables

Correlations between the significant variables can be found out removing the spurious correlations. . With the help of careful data cleaning and after removing the outliers John Miller Jersey , statistics can identify the link and association between two variables. For an example: The relation between change in revenue and sales offers can be identified through analysis. It provides application of theories and gives the conclusion how it is connected with the other variables. As a result management will have more control on some practical issues like repeat purchase, customer satisfaction Shaq Lawson Jersey , sales volume, loyalty of consumers etc. They also have a quantitative understanding of how much to increase the independent variables to get the desired value of the dependent variable.
Ensuring Quality

When management seeks for quality assurance programs or focus on continuous improvement like Lean manufacturing or Six Sigma they select statistic as a tool. Statistics come up with the solutions which help in control process of production Nathan Peterman Jersey , minimize variations and promise to maintain consistency throughout the process. The usage of raw materials have been reduced for making or remaking of product as the analysis deals with waste or misuse. Factors like loss of materials, cost of honoring warranties because of defective shipping will be reduced. The result is cost minimization through removing error or waste. So it can be proved that statistical analysis not only helps top level management to take strategic decision about the organization Dion Dawkins Jersey , like new product launch, revenue generation Zay Jones Jersey , but also it helps in providing actionable decisions in ground level of production. It’s an important tool for all the hierarchy of the management.

Though the analysis will give you almost accurate result but it is very necessary what to measure and how to design the experiment to come with exact results. It is very much needed to identify what exact question will be answered with the help of statistical analysis. Thus formulating the management question is a very important phenomenon. Every statistical tool has different aim and analyzes different factors. It is very necessary to know what analysis will be applicable in what type of data available in order to achieve the specific purpose. For example,the analysis of variance (anova) requires the dependent variable to be continuous and the independent variables to be categorical. But Tre'Davious White Jersey , the discriminant analysis requires the dependent variable to be categorical and the independent variables to be continuous. Again, the regression requires both the dependent and the independent variables to be continuous. So looking at the type of data Tremaine Edmunds Jersey , and keeping in mind the management objective and the problem definition, a particular test hypothesis needs to be formulated for actionable conclusions.

Statistics aiding in the focused strategy

The statistics have always been the right tool to incorporate the focused strategy for the management. For example Josh Allen Jersey , the management wants to enhance the brand image of a particular product. The brand image is dependent on various factors .

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