Data is the backbone of analytics and machine learning and hence one of the most important tasks in analytics is to get the right kind of data and in the required format.The importance of data can be understood by the fact that around 60 to 80 percent of the time of an analyst is spent in preparing the data.
What exactly is data preparation? In a nutshell, it is the process of collecting, cleaning, processing and consolidating the data for use in analysis. It enriches the data, transforms it and improves the accuracy of the outcome.
How is it done? It is mostly done through analytics or traditional extract, transform and load (ETL) tools. ETL tools include self-service data preparation tools, data cleansing and manipulation tools, etc.
Since data is the foundation of the analytics, right data will helps in analysing the situation better and help organizations in reacting positively to the market shifts.
To know more read the full article by Ashish Sukhadeve (business analytics professional) at: http://www.datasciencecentral.com/profiles/blogs/why-data-preparation-should-not-be-overlooked