Distinguishing the signal from the noise requires both scientific knowledge and self-knowledge: the serenity to accept the things we cannot predict, the courage to predict the things we can, and the wisdom to know the difference —- Nate Silver
Any startup or any corporation for that matter has only two jobs :
A startup typically runs lean, at-least the successful ones while a corporation has the whole middle layer bridging the two aspects of what and how.
Given the understanding, analytics has a role to play in both the what and how part of running a startup as it evolves. The kind of analytics needed will evolve with the business.
A startup journey from a strategic perspective will have 3 stages :
Pre-Product Market Fit
Post-Product Market Fit
Irrespective of the kind of business B2C or B2B, analytics will and should evolve with the business. The backbone for strong analytical practice is solid product thinking and engineering practices. Without those in place, any firm will fail to leverage data science well.
As reiterated above, it should be clear where and how analytics is being used and can be used. In the initial stages, what should be the focus. As things get streamlined and the direction is set, analytics can be useful in the how part as well.
In God we trust, all others must bring data — WE DemingStartups are hot, data science is equally hip, making analytics/data job at a startup one of the most sort after jobs.The job can vary in responsibi
Recently, I made a move from the Delhi’s satellite city of Gurgaon to tech hub of India : Bangalore. The change has has been fairly dramatic for me, given that I largely lived my life in India’s northern hemisphere. The fact that I’m a South Indian,
Note: This is not my original Content, I found this interesting and worth sharing with people. Original Article: https://bizztor.com/in/angel-investors-india/Not all startups are Investment ready & Not all investment ready Startups get Investment.Som