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Understand What is Descriptive Analytics? | IABAC
Descriptive analytics interprets historical data to identify patterns, trends, and relationships. It answers “what happened” by summarizing past events through reports, dashboards, and visualizations, helping businesses understand performance and make informed decisions based on existing data insights.
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Understand What is Descriptive Analytics? | IABAC
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- 2. Definition & Purpose Descriptiveanalytics focuses on summarizing historical data to understand what has happened. It helps organizations identify trends, patterns, and relationships using past performance. Common question it answers: “What happened?” iabac.org
- 3. Collect data →Clean it → Summarize → Visualize → Interpret. Uses dashboards, charts, and trend lines to show performance over time. Common tools: Power BI, Tableau, Excel, Google Data Studio. Example: Monthly website traffic trends or campaign performance summaries. How It Works iabac.org
- 4. In Action Marketing: Seewhich campaigns drove the most engagement. Sales: Compare regional performance over time. Operations: Track productivity and efficiency metrics. Customer Experience: Understand behavior shifts and feedback trends. iabac.org
- 5. Builds a solidfoundation for future strategies. Simplifies complex data into clear visuals. Helps teams learn from past performance before predicting what’s next. Tagline (optional): You can’t shape the future without knowing your past. Why It Matters iabac.org
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