- while analyzing data we should have clear understanding of industry , what kind of decision the company is going to make
Best way is to make question and answering them
(2) Acquire the raw data
- after all the questions are answered data is collected from different sources a raw data is formed and its not exactly the correct one its just raw
(3) Extract the data
- This step is used to create final data set
(4) Transform the data
- It is the step for the conversion of dataset to another state structure this transformation process refers to detecting and understanding the data in its source format.
(5) Data visualization
-we need to visualize data to develop insights and evaluate the data
(6) Statical Analysis
-It is used to identify the pattern or trends for predictive analysis which helps to make business decisions
(7) Data model development
- The most imp step the goals and its translation into a computational model
(8)Recommendations/story
-This is final step where analysis is summarized and the result is represented in form of story ,ppt etc
The final report includes
-industries peripheral outcomes
-stratergy and decision
-business priority identification
-target audience identification
-business case based on outcomes