How to Analyze Data: A Basic Guide
Posted: Thu May 22, 2025 9:34 am
Effective data analysis is essential for all employees, regardless of department or role. The ability to identify and study hidden trends is a necessary skill for both a marketer analyzing the ROI of advertising campaigns and a product manager reviewing product usage data.
Unfortunately, many companies struggle with collecting, processing, and analyzing data. A global survey by Splunk found that 55% of all data collected by companies remains unprocessed and unused. Sometimes, the company doesn’t even know it’s being collected; in other cases, employees simply don’t know how to analyze the data.
76% of executives believe that training employees to analyze and process different types of data will help solve the problem and the company will be able to use information effectively.
Fortunately, data analysis is a skill that can be learned. You kazakhstan phone number list don’t need a degree in statistics or hours of studying modules to understand how to analyze data. Instead, we’ve put together this guide to help you understand how to analyze data—cleaning your data, choosing the right analysis tools, and analyzing patterns and trends. You’ll gain valuable, actionable insights that will help you draw accurate conclusions.
Define your goals
Set specific goals before you even begin analyzing your data. If you don’t have a clear idea of what you’re looking for, you’ll spend hours just staring at a spreadsheet or sifting through countless support tickets waiting for a moment of insight.
Your goals depend on the team you're on, the data you collect, and your role:
The finance team analyzes expenses and looks for opportunities to save money.
The marketing team monitors potential customer activity and looks for ways to increase conversion through a free trial of the product.
The engineering team needs to understand how many customers were affected by a recent system outage, so they look at product usage data.
The product development team must prioritize the development of new features and bug fixes, so it analyzes the latest support requests and prioritizes the most important ones.
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Unfortunately, many companies struggle with collecting, processing, and analyzing data. A global survey by Splunk found that 55% of all data collected by companies remains unprocessed and unused. Sometimes, the company doesn’t even know it’s being collected; in other cases, employees simply don’t know how to analyze the data.
76% of executives believe that training employees to analyze and process different types of data will help solve the problem and the company will be able to use information effectively.
Fortunately, data analysis is a skill that can be learned. You kazakhstan phone number list don’t need a degree in statistics or hours of studying modules to understand how to analyze data. Instead, we’ve put together this guide to help you understand how to analyze data—cleaning your data, choosing the right analysis tools, and analyzing patterns and trends. You’ll gain valuable, actionable insights that will help you draw accurate conclusions.
Define your goals
Set specific goals before you even begin analyzing your data. If you don’t have a clear idea of what you’re looking for, you’ll spend hours just staring at a spreadsheet or sifting through countless support tickets waiting for a moment of insight.
Your goals depend on the team you're on, the data you collect, and your role:
The finance team analyzes expenses and looks for opportunities to save money.
The marketing team monitors potential customer activity and looks for ways to increase conversion through a free trial of the product.
The engineering team needs to understand how many customers were affected by a recent system outage, so they look at product usage data.
The product development team must prioritize the development of new features and bug fixes, so it analyzes the latest support requests and prioritizes the most important ones.
Y