𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗠𝗼𝗱𝗲𝗿𝗻 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗠𝗼𝗱𝗲𝗿𝗻 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀

Companies generate mass data. Clicks and purchases provide info. Data alone has no value. You need insights to make it work.

Data analytics is the process of collecting and cleaning data. It turns raw info into business actions.

You gain these benefits:

• Smarter decisions
• Lower costs
• Better customer experiences
• New growth paths

The workflow is simple:

• Collect: Gather data from sites and apps.
• Clean: Remove errors and duplicates.
• Analyze: Find patterns.
• Visualize: Create charts and reports.

Ask four main questions:

• What happened?
• Why did it happen?
• What will happen?
• What should you do?

AI improves this process. AI finds hidden trends. It predicts future outcomes. It automates reports.

Common tools:

• Python and Java
• SQL and MongoDB
• Power BI and Tableau
• AWS and Azure

Key roles:

• Data Analyst
• Data Engineer
• BI Developer

Challenges exist. Bad data leads to bad choices. Privacy is a risk. Skills are hard to find.

Data intelligence is a necessity. Use it to stay ahead.

Source: https://dev.to/madhu_ashokit_645dd41c0b1/what-is-data-analytics-and-why-is-it-important-in-modern-business-55b2

Optional learning community: https://t.me/GyaanSetuAi