why do we need to analyze data

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As the workplace becomes more tech-driven and fast-paced, data analysis and the skills gained from
Pare going to play an increasingly important role in business. Why is a data analysis course important? P Data analysis is an internal organisational function performed byP Pthat is more than merely presenting numbers and figures to management. It requires a much more in-depth approach to recording, analysing and dissecting data, and presenting the findings in an easily-digestible format. Analyse, interpret and deliver data in meaningful ways In this short video, Norah Wulff, Data Architect and Head Tutor on the University of Cape Town Data Analysis online short course, provides some more insight into why learning this skill with data analytics courses is valuable to a business: Their responsibilities around analysing data help the business managers make informed decisions to drive the company forward, improve efficiency, increase profits and achieve organisational goals.

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To do this effectively, Data Analysts need to be able to: Do you want to pursue a career in data analysis? Data analysis is important in business to understand problems facing an organisation, and to explore data in meaningful ways. Data in itself is merely facts and figures. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data. This context can then be used by decision-makers to take action with the aim of enhancing productivity and business gain. Before beginning the dissertation writing, one has to collect data for the research. The data to be used can be either collected using data gathering techniques or someone elseŠ²s existing data, if it serves the purpose of the research.

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Collecting the data correctly takes a great deal of work. Before data analysis can begin, the accuracy of the data collected needs to be verified. Following data collection, the data needs to be critically analysed. For any research, data analysis is very important as it provides an explanation of various concepts, theories, frameworks and methods used. It eventually helps in arriving at conclusions and proving the hypothesis. Data analysis is a process used to inspect, clean, transform and remodel data with a view to reach to a certain conclusion for a given situation. Data analysis is typically of two kinds: qualitative or quantitative. The type of data dictates the method of analysis. In qualitative research, any non-numerical data like text or individual words are analysed. Quantitative analysis, on the other hand, focuses on measurement of the data and can use statistics to help reveal results and conclusions.

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The results are numerical. In some cases, both forms of analysis are used hand in hand. For example, quantitative analysis can help prove qualitative conclusions. Among the many benefits of data analysis, the more important ones are: Data analysis helps in structuring the findings from different sources of data. Data analysis is very helpful in breaking a macro problem into micro parts. Data analysis acts like a filter when it comes to acquiring meaningful insights out of huge data set. Data analysis helps in keeping human bias away from the research conclusion with the help of proper statistical treatment. When discussing data analysis it is important to mention that a methodology to analyse data needs to be picked. if a specific methodology is not selected data can neither be collected nor analyzed.

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The methodology should be present in the dissertation as it enables the reader to understand which methods have been used during the research and what type of data has been collected and analyzed throughout the process. The dissertation also presents a critical analysis of various methods and techniques that were considered but ultimately not used for the data analysis. An effective research methodology leads to better data collection and analysis and leads the researcher to arrive at valid and logical conclusions in the research. Without a specific methodology, observations and findings in a research cannot be made which means methodology is an essential part of a research or dissertation. Subscribe now! Subscribe today and get future blog posts your email.

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