Profile of Bryan Beverly

Statistician, Bureau of Labor Statistics News & Commentary Posts: 22

Analytic Systems are No Good Unless They Are CRAP

1/30/2018
If you are creating an analytics system, make sure you you pay attention to these four words -- Creative, Responsive, Adaptable, and Productivity.
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Rising, Shining, or Falling Star: Where Are You in Your Analytics Career?

1/11/2018
Are you just getting started with your data analytics career, are you in the zone, or is it time for you to reevaluate what's next. Take this quiz to find out.
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Project Management Analytics: 3 Tools to Estimate Scope Failure, Cost, and Time

11/6/2017
When you need to make estimates your next project, give these 3 analytics tools a try.
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Use It or Lose It: Is This the Best Way to Manage Budgets?

9/15/2017
Are you getting ready to spend all the money left in your budget so that you don't end up with a smaller budget for 2018? Is that the right way to do things?
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Capta: The data of Conscious Experience

8/16/2017
Phenomenological researchers say "capta" is the "data of the conscious experience." Is there room for this kind of data in analytics? How should analytics pros use it?
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Regulatory Oversight vs. Crowdsourcing: The Best Approach for Quality

8/4/2017
If you are looking for data quality, should you rely on professionals or passionate amateurs? Here are the pros and cons.
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Work/Life Balance: Do Analytic Professionals Have It?

7/13/2017
You use analytics in your career, but do you also apply the same principles and tools to your personal life?
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Simple Tool to Identify Data Fraud: Benford's Law

6/29/2017
This Simple, old school fraud detection tool for data can help weed out problems in a number of different scenarios.
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The Three Social Functions of Business Jargon

5/17/2017
The lingo or jargon you use in analytics or IT or business management is part of what makes you part of a culture. Here's a deeper look at the reasons why we use jargon.
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Tale Of Two Cities: Visual Analysis of Baltimore Crime

4/10/2017
Why has the crime rate shifted IN Baltimore? A visual analytics video tells the story.
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When Good Algorithms, Tech Stop Being Good

3/8/2017
What happens when an algorithm designed for good gets used for illegal purposes? Technology designed TO fix a problem can ultimately lead to negative consequences.
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Postmodern Analytics: The Emergence of 'Alternative Facts'

2/14/2017
If we observe competing truth claims in analytic methods, tools or work products, then are the truths absolute or relative?
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Managers: Do They Help or Hinder?

1/11/2017
Is your manager a help or a hindrance when it comes to your analytics work and initiatives?
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Can Critical Care Analytics Overcome Ethics Concerns?

1/3/2017
When it comes to life-or-death decisions about critical care for a loved one, would you trust predictive analytics software to decide how much care IS warranted?
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In Search Of: Unicorns, Big Foot, and Data Privacy

12/20/2016
Monster hunters may have spent years hunting for Big Foot, and unicorns may be popular ideas in fairy tales. But like data privacy, they don't really exist. Data protection is what we have instead.
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How to Value a Statistical Life

10/19/2016
When governments make decisions,sometimes the value of a human life comes down to a formula, VSL.
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Church Analytics: A Blessed Assurance?

10/6/2016
The analytics concepts used in business also have a place in the operation of a church, although the results of any analysis could lead to calls to either hail OR nail the leaders.
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Data Awareness and Your Social Status

9/13/2016
Some Dilbert observations raise questions about who might be a data snob. Take the test.
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The Status Report: Valuable or a Waste of Time?

7/5/2016
The jury may be out on the value of status reports, but while you wait for a verdict, think about how we learn or don't learn how to write those reports.
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Knowledge: Technologically Determined or Socially Constructed?

5/23/2016
Consider this: Is knowledge in your organization created by technology or by the people associated with the organization? Bryan Beverly kicks off the discussion.
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Big Data: Gospel or Myth?

4/18/2016
Bryan Beverly asks how we should view big data, and whether it is an ultimate truth. He proposes a three-question test to see how big data fits into your organization.
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How Compensation for Analytics Pros Really Works

2/24/2016
Analytics pros need to understand their company dynamics when it comes to compensation and survival. Yes, there are ways to avoid being the slowest gazelle in the herd.
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