1.
1.Identify Objectives
2.Data Gathering
3.Understand the Importance of 3 Vs
4.Data Preparation

2.
Before stepping into data analytics, the very first step all businesses must take is identify
objectives. Once the goal is clear, it is easier to plan especially for the data science teams.
Initiating from the data gathering stage, the whole process requires performance indicators or
performance evaluation metrics that could measure the steps time to time that will stop the issue
at an early stage. This will not only ensure clarity in the remaining process but also increase the

3.
Data gathering being one of the important steps requires full clarity on the objective and relevance
of data with respect to the objectives. In order to make more informed decisions it is necessary
that the gathered data is right and relevant. Bad Data can take you downhill and with no relevant
report.

4.
Volume, Variety and Velocity
The 3 Vs define the properties of Big Data. Volume indicates the amount of data gathered, variety
means various types of data and velocity is the speed the data processes.

5.
Data preparation also called data cleaning is the process in which you give a shape to your data by
cleaning, separating them into right categories, and selecting. The goal to turn vision into reality is
depended on how well you have prepared your data. Ill-prepared data will not only take you
nowhere, but no value will be derived from it.