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PHILIP KAPLONG
PHILIP KAPLONG

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Why Excel Is Still King in Data Analysis

Excel is a computer program built by Microsoft that lets you organize information in a grid of rows and columns (called a spreadsheet), it is just like a digital notebook for numbers and data.

It is widely used by various organisations around the world in organizing and analyzing of their data inorder to come up with various insights.

Real-World Uses of Excel

1. Business Decision-Making
Through the data the organisation have they are able to track sales and inventory and are able to see which products sell best and when to reorder stock.

2.Financial Reporting
Creation of budgets becomes easy and also with excel most organisations are able to track their spending on various things.With this the organisations are able to calculate profit and loss weekly,monthly and yearly.

3.Marketing Performance Analysis
With this the organisation are able to measure /monitor the their campaign results by tracking email opens, clicks, and sales from ads which in helps them to know their target audience and where to target next for their product or service

4.Data Cleaning & Analysis
Most times when the data is collected it needs to be cleaned by sorting, filter, and organize the messy data.After the cleaning of the data the data analyst can now find patterns, remove duplicates, and prepare data for analysis.

5.Dashboards & Reporting
The best part about excel is that an analyst can create visual charts and graphs to present different metrics to leadership and decision makers.This shows trends in real-time.

Excel Features and Formulas

Excel as a tool has various features and formulas that assist an analyst on working on a given data.I am going to mention just a few

1.Basic Formulas

  • SUM() – Adds a range of numbers.
  • AVERAGE() – Finds the mean value.
  • COUNT() – Counts cells containing numbers.

2.Logical Functions

  • IF() – Returns different results based on a condition.
  • AND() – Checks if multiple conditions are true.
  • OR() – Checks if at least one condition is true.

Data Analysis Features

  • Conditional Formatting – Highlights important values automatically.
  • Data Validation – Restricts the type of data users can enter.
  • Text to Columns – Splits data into separate columns.
  • Remove Duplicates – Eliminates repeated records.

Learning Excel has changed the way I see data because I now understand that data is more than just numbers. Instead of looking at raw information as something confusing, I can organize it and make sense of it using Excel. It has shown me how simple tools like formulas and tables can turn raw data into useful insights. I also now see how businesses rely on Excel to analyze information and make better decisions based on facts rather than guesses.

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