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Data Analysis

Explore the various functions and purposes of data analysis in research, including analyzing available data, interpreting results, and gaining insights. Discover how Alteryx's self-service data analytics tools can help analysts access, prepare, blend, and analyze data from different sources, driving deeper insights without coding.

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Data Analysis

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  1. Data Analysis RESEARCH METHODOLOGY: TOOLS AND TECHNIQUES 70-84 pp.

  2. Data analysis embraces a whole range of activities of both the qualitative and quantitative type. It is usual tendency in behavioral research that much use of quantative analysis is made and statistical methods and techniques are employed. The statistical methods and techniques are employed. The statistical methods and techniques have got a special position in research because they provide answers to the problems.

  3. Functions The following are the main functions of data analysis: (i) The researcher should analyze the available data for examining the statement of the problem. (ii) The researcher should analyze the available data for examining each hypothesis of the problem. (iii) The researcher should study the original records of the data before data analysis.

  4. Functions (iv) The researcher should analyze the data for thinking about the research problem in lay man’s term. (v) The researcher should analyze the data by attacking it through statistical calculations. (vi) The researcher should think in terms of significant tables that the available data permits for the analysis of data.

  5. Interpretation of Data According to F.L. Whitney, interpretation means an adequate exposition of the true meaning of the material presented in terms of the purposes of the study being reported and of the chapter and section topic involved.

  6. Purposes The following are the main purposes of interpretation of data or results: (i) To throw light on the real significance of the material in the context. (ii) To understand implications of the data. (iii) To provide hints of conclusions and recommendations of the researcher. (iv) To show the values of greatest worth that has resulted from the research. (v) To refer important generalization.

  7. Tools Alteryx - http://www.alteryx.com/

  8. Data Analysis Methods Traditionally, organizations depend on IT and data scientists for analytics. However, today's analysts in the line of business are being called upon more than ever to deliver the analytic results needed to drive business decisions. This means becoming more self-sufficient in delivering data analysis methods to help prepare, blend and analyze data from multiple sources.

  9. Alteryx Alteryx delivers self-service data analytics to help analysts: • Access, prepare, and blend data from multiple sources using dag-and-drop tools • Use advanced analytics to drive deeper insights without coding and formulas quicker • Build repeatable workflows to help improve analytic processes

  10. Solutions • Analytic Solutions (Connecting business analysts and decision makers to data, regardless of size, format, or physical location) • Departmental Solutions ( Empowering analysts in line of business departments who are the most familiar with the day-to-day business challenges) • Industry Solutions (Leveraging vast industry knowledge and experience to deliver comprehensive industry solutions)

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