Data Analysis

Going from Data to Decisions

3. Analysis

• Extracting Insights: Cleaned big data is mined for patterns, trends, and relationships. Here are some key techniques:
  • Descriptive Analytics: Summarizing and describing the data (mean, median, etc.).
  • Diagnostic Analytics: Drilling down to find root causes of trends or issues.
  • Predictive Analytics: Building models to forecast future outcomes.
  • Prescriptive Analytics: Suggesting optimal courses of action.
• Tools:
  • Big Data Frameworks: (Hadoop, Spark) – for storing and processing huge datasets.
  • Data Warehousing: Storing cleaned, structured data for analysis.
  • Visualization Tools: (Tableau, Power BI) – crafting understandable visuals.
  • Machine Learning: Creating algorithms for pattern recognition and prediction.