Simple analytics
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This document outlines steps for good data analysis and insights from data visualization. It recommends fast data processing and correct visualization to help people make data-driven decisions. Insights can be found through clueless digging in data and discovering patterns, even without a dedicated aim. Managers should appreciate that data scientists need freedom to explore data and should know how to explain data visually for maximum impact through meaningful but boring numbers.
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Simple analytics
- 2. Overview
- 3. Overview Steps involved for good analysis-
- 4. Overview Steps involved for good analysis- Fast data meansfast processing and execution
- 5. Overview Steps involved for good analysis- Fast data meansfast processing and execution Correct Visualization of data
- 6. INSIGHT1
- 7. INSIGHT1 Data with the right visualizationcan do wonders in helping people makedata-driven decisions.
- 8. INSIGHT2
- 9. INSIGHT2 Insightsdon’t reallyrequire a dedicatedaimto be found. A cluelessdigger can findpatternsin data which canthen prove meaningful.
- 11. ManagerialRelevance1 An Indianmanager needs to appreciateand realize the fact that not all data-scientistscanhave dedicatedtasks. They require the freedom to traverse through dataonly whichwill resultin helpful insights.
- 13. ManagerialRelevance2 Data representedby numbers is boring.Meaningful, but boring. A manager in India needs to know how to explain this datavisuallyfor maximum impact.
- 14. fin.