Transformation begins when you understand the challenge you are facing
How to manage Data Science project properly:
from team handpicking to delivery management
Companies are investing now more than ever in Big Data and related technologies. According to a SNS Research, the value of global investments in data science technologies will surpass the $57 billion mark by the end of 2017. Both business intelligence (BI) and analytics software market continuously grow and, by the end of this year, will generate global revenue value of $18.3 billion, as reported by Gartner.
It is important to wisely manage every stage of project development process and safely ensure success by applying the right techniques and leading a team properly. In this webinar, we covered main questions: what people do you need for successful launching and delivery, where to get those people, how to weed out underperformers, how to estimate and then deliver commitments, how to evolve the project after launch.