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.

1. SimplifyYourAnalytics Strategy
byNarendra Mulani
Analysisof

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.

10. ManagerialRelevance1

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.

12. ManagerialRelevance2

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.