One of the key tools required by an IT organization in the 21st century dynamic business environment for improved agility is IT staff augmentation. In the wake of globalization and constant technological developments, IT companies have the privilege of hiring remote teams placed all around the world working seamlessly for various projects. It is indeed the new model adopted by most global businesses today that has come to realize the many benefits of switching to remote hiring as compared to in-house software development.

We all know the importance of data analytics in any organization and how different types of data analysis help the management of the business in its decision-making process. As the level of decision-making process escalates, application of data analytics is required in accordance with the level. From the simplest analysis to the more advanced and complex analysis of data, the organization is fed with solutions that will lead them to a better decision. Data analytics is the heart of any kind of decision. With the help of different types of data such as raw data and other advance data the organization can look into their past achievements or the loopholes they need to fix. Through different types of analysis, the management can measure the growth of the organization and look into the future. Analytics help decision makers to come to an estimate for the future. From what, why, and how to, different types of analytics give different insights to the management.

1. Study the feasibility of the idea

In this step we will study, evaluate, and discuss the chances of your business idea becoming successful. It will also include a thorough assessment of the commercial viability and the market.