# What and Why Data Analytics?

**Definition:** 

Data analytics refers to the process of analyzing, interpreting, and deriving meaningful insights from large sets of data. It involves various techniques and methodologies to uncover patterns, trends, correlations, and other valuable information that can be used for decision-making, problem-solving, and optimization in various domains.

**Basic Terminology**

* **Data**: is a raw and unorganized fact that required to be processed to make it meaningful, Data can be Number, Character, Image, etc.
* **Information**: is a set of data which is processed in a meaningful way according to the given requirement.
* **Data analysis**: The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
* **Data analyst**: Someone who collects, transforms, and organizes data in order to draw conclusions, make predictions, and drive informed decision-making
* **Data analytics**: Data analytics includes all the steps you take, both human and machine-enabled, to discover, interpret, visualize, and tell the story of patterns in your data in order to drive business strategy and outcomes.It including data scientists, engineers, and analysts, to make it easy for the rest of the business to access and understand these findings.

<figure><img src="/files/8NwGpwloGiAHhGMh3BUB" alt="" width="563"><figcaption></figcaption></figure>

<mark style="color:purple;">**Why use data analytics?**</mark>

In a constantly changing business environment, it may be hard to predict your next move. That’s where data analytics comes in. By quickly accessing data across teams and the enterprise, you can drive better decisions by getting deeper insights about: Who your customers are and how to reach them The market, including competitors What has happened in the past What’s happening now What the future holds for your business


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