Analytics Technology 

Analytics refers to the systematic computational analysis of data or statistics. It is used to discover, interpret, and communicate meaningful patterns in data, and often to inform decision-making. Analytics is widely applied across various fields including business, healthcare, marketing, sports, finance, and more.

Types of Analytics

1. Descriptive Analytics – Answers "What happened?"

   • Summarizes historical data to understand changes over time.

   • Tools: Dashboards, reports.

2. Diagnostic Analytics – Answers "Why did it happen?"

   • Examines data or content to understand the causes of outcomes.

3. Predictive Analytics – Answers "What could happen?"

   • Uses statistical models and machine learning to forecast future outcomes.

4. Prescriptive Analytics – Answers "What should we do?"

   • Recommends actions based on predictions and simulations.

Applications of Analytics

• Business: Customer insights, financial forecasting, risk management.

• Healthcare: Patient data analysis, treatment optimization, outbreak prediction.

• Sports: Player performance analysis, strategy development.

• Marketing: Campaign performance, consumer behavior analysis.

• Education: Student performance tracking, personalized learning paths.

Tools Used in Analytics

• Spreadsheets: Excel, Google Sheets

• BI Tools: Power BI, Tableau, Looker

• Statistical Tools: R, SAS

• Programming Languages: Python, SQL

• Big Data Platforms: Apache Hadoop, Spark