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Data and Analytics is the field focused on collecting, processing, and interpreting data to help organizations make informed decisions. It involves transforming raw data into meaningful insights through methods such as data collection, data cleaning, data visualization, and statistical analysis.
Data analytics can be categorized into four main types:
Descriptive Analytics – What happened? (e.g., sales reports, dashboards)
Diagnostic Analytics – Why did it happen? (e.g., root cause analysis)
Predictive Analytics – What might happen? (e.g., forecasting trends using machine learning)
Prescriptive Analytics – What should we do? (e.g., recommending actions based on data)
Common tools and technologies include Excel, SQL, Power BI, Tableau, Python, R, and Google Data Studio. In the cloud era, platforms like AWS, Azure, and Google Cloud provide scalable data analytics and AI services.
Together, data and analytics help businesses gain a competitive edge by turning data into actionable insights, improving decision-making, and driving innovation.
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