How much time does a data scientist spend cleaning and organizing data before working on it?

Less than 20% of the time

Between 20% and 40% of the time 40%

Between 40% and 60% of the time 60%

More than 60% of the time

5 PARTICIPANTS
53 viewscircle icon1 Upvotecircle icon1 Comment
Sort by:
Director of Dataa year ago

How much bad data costs in an organization?

Content you might like

What is the best work travel advice you’ve ever been given?

Read More Comments

What do you perceive as the biggest challenge in implementing Gen AI within your organization?

Data quality and availability15%

Computational resources24%

Ethical concerns and biases22%

Expertise and skill gaps28%

Regulatory compliance5%

Budget issues2%

Gen AI out of Scope1%

Others

View Results

It's “National Clean Out Your Computer Day”  (Feb 13) — when was the last time you organized/backedup your laptop?

Today!11%

Last week37%

Last month22%

Last quarter12%

Last year7%

Never4%

I can't remember4%

View Results

How many different tools (that you know of) does your company use for Data Analytics?  Which one is your favorite, and why?

Read More Comments

I'm interested in understanding how organisations manage increasing support overhead from running the databricks analytical platform.  This is being driven by a number of factors: - wide range of user personas (data engineers, data scientists, analysts) - differing maturity levels (some people needing high levels of support because they have low familiarity with data and analytics and databricks; others with advanced understanding) - increasing capability (Databricks are deploying new features frequently) What tactics have people found successful to deal with this?