John Weathington
TechRepublic
San Francisco, CA, United States
Contact John
Discover and connect with journalists and influencers around the world, save time on email research, monitor the news, and more.
| Recent: |
|
| Past: |
|
Past articles by John:
Overspecialization throws data science dream teams off-balance
Building a data science team is difficult enough, but growing one without losing the team's effectiveness is a major challenge. Here's why overspecialization is the wrong approach to growth. → Read More
How data scientists can help operational analytics succeed
Find out how most companies get operational analytics wrong, and how data science can play an important role in steering these efforts in the right direction. → Read More
3 best practices for exploratory data visualizations
Exploratory data visualization is an exciting component of data science. Get tips on how your qualitative data scientists can build these visualizations. → Read More
How to revamp business processes with predictive analytics
Data science--specifically predictive analytics--can be a powerful way to discover breakthrough efficiencies in the way you accomplish your corporate mission and strategy. → Read More
Why data science is a secret weapon for tech consultants
Consultants who partner with data scientists can use the power of big data to help sell their expert advice. Find out pitfalls to avoid in this partnership. → Read More
How data scientists can improve their careers in 2018
Data scientists will see positive results from making these professional and personal resolutions, according to John Weathington. → Read More
How to get your big data team to implement functional code every two weeks
For most data science teams, the idea of delivering functional code within two weeks seems impossible. Discover why and how a two-week deadline for code is feasible. → Read More
Why Extreme Programming can be an asset or a liability for data scientists
Before implementing Extreme Programming, be sure you're aware of the potential benefits and drawbacks to this approach, and how that may affect your data scientists and end users. → Read More
How to succeed as a data scientist even if you aren't an analytic
Although analytics are a natural fit for big data jobs, other personality types can still be great data scientists. Get the specifics. → Read More
CEOs have a problem with the truth: How data scientists can help
Nobody wants to be the bearer of bad news, which is why CEOs sometimes don't get the straight story about strategic data. The solution includes data scientists and three non-traditional data systems. → Read More
How to build a data-driven organization that outpaces competitors
Follow this roadmap for creating a data-driven organization in five stages. Before you know it, you'll be outperforming your competition. → Read More
How to succeed with big data on a tight budget
Data science doesn't have to require a big spend in order to play a useful role in your organization. Get tips on benefiting from big data when you have a small, fixed budget. → Read More
How to succeed with big data on a tight budget
Data science doesn't have to require a big spend in order to play a useful role in your organization. Get tips on benefiting from big data when you have a small, fixed budget. → Read More
The hidden value in imperfect big data
Fuzzy data sources have become mainstream with analytics. Here's how to properly handle less-than-pristine big data sources. → Read More
Stop overdoing it when cleaning your big data
Enough is enough--your big data might actually be getting too clean. Find out why it can be useful to keep bad, garbage data. → Read More
Big data privacy is a bigger issue than you think
When it comes to privacy, big data analysts have a responsibility to users to be transparent about data collection and usage. Here are ways to allay users' concerns about privacy and big data. → Read More
Big data privacy is a bigger issue than you think
When it comes to privacy, big data analysts have a responsibility to users to be transparent about data collection and usage. Here are ways to allay users' concerns about privacy and big data. → Read More
How data scientists use critical thinking to generate valuable processes
To maximize the performance of your business processes, organize a group of data scientists and other experts to run a Value Stream Mapping effort. Get the specifics on what this entails. → Read More
How data scientists use critical thinking to generate valuable processes
To maximize the performance of your business processes, organize a group of data scientists and other experts to run a Value Stream Mapping effort. Get the specifics on what this entails. → Read More
How to find the real value in operational big data
One of the best ways to get the most from massive amounts of data is to implement an operational intelligence system. Here's how to apply big data analytics to operational data. → Read More