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.
  • Brand Promotion
  • Market Survey
  • Project Analysis
  • Live Project
  • SMART Research
I M R SMART @ Data Analysis

R – S M A R T @  Data Analysis Objectives

Data analysis is to understand problems facing an organisation and to explore data into useful information used to make informed decisions.

  • 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.

R – S M A R T @  Data Analysis Overview

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.

Data analysis is important in business to understand problems facing an organisation, and to explore data in meaningful ways. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data. The process of data analysis uses analytical and logical reasoning to gain information from the data so that the derived knowledge can be used to make informed decisions.

  • 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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