Data Science Articles

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Nona Tepper Nona Tepper
Updated on April 19, 2024

How ClimaCell Uses Parallel Processing to Forecast Hyperlocal Weather by the Minute

Managing millions of weather points is far from breezy.

Julius Černiauskas Julius Černiauskas
Updated on April 19, 2024

Why Your Company Needs a Data Ethicist

As data collection practices and the technologies that facilitate them grow at a breakneck pace, companies would be wise to invest in specialized professionals who limit the risks posed by these new solutions.

Image: Shutterstock / Built In
Edward Hearn Edward Hearn
Updated on April 19, 2024

Fix Your Broken Research Methods!

Data-driven research is crucial to understanding the marketplace, yet the replication crisis suggests much big-data analysis may be worthless. Fortunately, a simple tweak to research methods can undo much of the harm.

Matt Brown Matt Brown
Updated on April 19, 2024

FiveTran: Strengths and Weaknesses

An overview of this new data integration tool.

Stephen Gossett Stephen Gossett
Updated on April 19, 2024

Why Users Are Getting More Conscious of Digital Surveillance

At a panel discussion for EFF’s 30-year anniversary, Edward Snowden and others examined the state of surveillance and privacy in 2021.

Edward Hearn Edward Hearn
Updated on April 19, 2024

How Data Visualizations Can Be Misleading

There are lies, damned lies and statistics. And then there are data visualizations.

Stephen Gossett Stephen Gossett
Updated on April 19, 2024

Use Data Mining to Predict If Your Product Will Crash and Burn

How predictive analytics saves clients and separates good customers from “harbingers of failure.”

Scott Jensen Scott Jensen
Updated on April 19, 2024

Can Data Be a Crystal Ball for the Job Market?

We’re working on it.

Image: Shutterstock / Built In
Grant Shirk Grant Shirk
Updated on April 19, 2024

4 Principles to Inspire a Truly Data-Driven Culture

To start, stop neglecting your data.

Todd Shepherd Todd Shepherd
Updated on April 19, 2024

Data Belongs to Everyone

When each user in an organization views data as a personal resource, they can get overly comfortable modifying it until it’s polluted. To avoid this problem, recalibrate your approach so that data is considered a shared resource.

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