Data Analytics and Business Intelligence

It transform raw data into actionable insights that drive smarter decisions, efficiency, and growth.

Data Analytics:

Focuses on collecting, processing, and analyzing data to reveal patterns and trends.

Key activities: data mining, predictive modeling, real-time dashboards, and visualization.

Tools: Python, R, SQL, Apache Spark, Tableau, Power BI.

Business Intelligence (BI):

Turns complex data into clear dashboards and reports for strategic planning.

Core areas: ETL processes, data warehousing, KPI tracking, and self-service analytics.

Platforms: Power BI, Tableau, Qlik Sense, Looker, SAP BusinessObjects.

Outcomes: data-driven decisions, improved operations, better customer insights, and market awareness.