Data Analysis

Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data.
A simple example of data analysis can be seen whenever we take a decision in our daily lives by evaluating what has happened in the past or what will happen if we make that decision. Basically, this is the process of analyzing the past or future and making a decision based on that analysis.
Data analysis can help companies better understand their customers, evaluate their ad campaigns, personalize content, create content strategies and develop products. Ultimately, businesses can use data analytics to boost business performance and improve their bottom line
The two primary methods for data analysis are qualitative data analysis techniques and quantitative data analysis techniques. These data analysis techniques can be used independently or in combination with the other to help business leaders and decision-makers acquire business insights from different data types.
These steps and many others fall into three stages of the data analysis process: evaluate, clean, and summarize.
Let us explain five steps to get you started with data analysis.
STEP 1: DEFINE QUESTIONS & GOALS.
STEP 2: COLLECT DATA.
STEP 3: DATA WRANGLING.
STEP 4: DETERMINE ANALYSIS.
STEP 5: INTERPRET RESULTS.