D A T A - A N A L Y S I S

Data Analysis is the science of examining data to draw conclusions about the information to make decisions or expand knowledge on various subjects. It is the process of collecting, modeling, and analyzing data to extract insights to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data.  Depending on the current strategic priorities of the business, analysts might focus their expertise on the analysis of stakeholders, marketing, finances, risk and information technology.

  • Descriptive Analysis.
  • Exploratory Analysis.
  • Inferential Analysis.
  • Predictive Analysis.
  • Causal Analysis.
I M R SMART @ Data Analysis

I M R SMART Research @  Data Analysis

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis and interpretation is the process of assigning meaning to the collected information and determining the conclusions, significance, and implications of the findings.

  • To identify organizational performance and issues into require action.
  • To gain a deeper understanding of customer and to creates better decisions.
  • To increase awareness of risks to implement preventive measures.
  • To visualize different dimensions of the data and gain competitive advantage.
  • To better understand the financial performance and identify to reduce costs.
  • Define the Objective.
  • Source & Collection  of Data.
  • Process of Collection data.
  • Select Data & Build Models.
  • Analysis of the Data
    • Descriptive Analysis.
    • Exploratory Analysis.
    • Inferential Analysis.
    • Predictive Analysis.
    • Causal Analysis.
    • Mechanistic Analysis.

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