4. 1. Start from studying small data around
Open your eyes to the millions of small data
opportunities, and work a bit more effectively with data
scientists, analytics, and all things quantitative.
6. 2. Dig deep into the data
First, start with something that interests, even bothers,
you. Whatever it is, form it up as a question and write it
down.
7. 2. Dig deep into the data
Next, think through the data that can help answer your
question, and develop a plan for creating them. Write
down all the relevant definitions and your protocol for
collecting the data.
8.
9. Visualizing the data is important
Start drawing some pictures. Good pictures make it
easier for you to both understand the data and
communicate main points to others.
Draw the first picture with your hand (not tool).
12. Being data savvy is the need of time
Slowly but steadily, data are forcing their way into every
nook and cranny of every industry, company, and job.
Managers who aren’t data savvy, who can’t conduct
basic analyses, interpret more complex ones, and
interact with data scientists are already at a
disadvantage.
13. Not everyone needs to become a quant. But it is worth
brushing up on the basics of quantitative analysis, so as
to understand and improve the use of data in your
business. We’ve created a reading list of the best HBR
articles on the subject to get you started.