Stephanie Glen's Blog (125)

E-R Diagram: 5 Mistakes to Avoid

  • Good E-R diagrams capture core components of an enterprise.
  • 5 things not to include in your diagram.
  • Tips to guide you in your E-R diagram design.

In my previous blog post, I introduced you to the…


Added by Stephanie Glen on July 18, 2021 at 2:53pm — 2 Comments

Intro to the E-R Diagram

  • E-R diagrams capture meaning in your data.
  • This high-level visual tool identifies core components of an enterprise
  • Simple steps to follow to create the diagram.

Entity-Relationship (E-R) Modeling is one approach to visualize what story your data is trying to tell. This goal of this predecessor to…


Added by Stephanie Glen on July 11, 2021 at 2:30pm — No Comments

Five Graphs to Show Cause and Effect

  • Cause-and-effect relationships can be visualized in many ways.
  • Five different types of graphs explained, from simple to probabilistic.
  • Suggestions for when to use each type.

If your data shows…


Added by Stephanie Glen on June 27, 2021 at 5:30pm — No Comments

Stroke Prediction using Data Analytics and Machine Learning

  • Data-based decision making is increasing in medicine because of its efficiency and accuracy.
  • One branch of research uses Data Analytics and Machine Learning to predict stroke outcomes.
  • Models can predict risk with high accuracy while maintaining a reasonable false positive rate.

Stroke is the second leading cause of death…


Added by Stephanie Glen on June 22, 2021 at 4:26am — No Comments

Outbreak Analytics at the Forefront of Data Science

  • Epidemics remain a major public health issue. 
  • Data science steps in when traditional modeling methods fail.
  • Outbreak analytics can handle the complex data involved in pandemic assessment.

The last two decades saw more new infectious diseases of global concern than in any similar period of history [1]. Ebola, Influenza A…


Added by Stephanie Glen on June 11, 2021 at 8:08am — 1 Comment

The NFT Crypto-Art Bubble has Officially Burst

  • Non-fungible token assets are declining rapidly,
  • The market is down 70% from its peak,
  • NFTs , in a moderated form, are likely here to stay.

Non-fungible tokens (NFTs), tradable digital certificates…


Added by Stephanie Glen on June 7, 2021 at 6:00am — No Comments

The Environmental Toll of NFTs

  • The Non-Fungible Token (NFT) craze is an environmental blitz.
  • What's behind the massive energy use.
  • Solutions to the problem.

The high environmental toll of NFTs

A couple of weeks ago, I wrote an article…


Added by Stephanie Glen on May 31, 2021 at 4:00am — No Comments

The Future of Business Analytics is Here

  • Business analytics has moved from the sidelines to the forefront
  • AI-based technology has revolutionized the field
  • Real-world examples of BA success.

Gone are the days when a BA’s  role was as a requirements note taker [1], or  when data interpretation was the responsibility of a small team of programmers.  In the…


Added by Stephanie Glen on May 23, 2021 at 2:56pm — No Comments

NFTs Explained in Two Pictures: The Good, The Bad ... and The Ugly

  • Non-Fungible Tokens (NFTs) are taking the art world by storm.
  • A large number of serious problems outweigh any positives.
  • Two infographics to explain the process and issues.

The above image shows how an object of value, like an artwork, music file or GIF, can be “minted” and sold via a non-fungible token (NFT). An…


Added by Stephanie Glen on May 16, 2021 at 12:30pm — No Comments

AI: The Next Great Art Forger

  • AI develops new “art” using image analysis.
  • GANs do not create, they repaint.
  • The result is a pastiche, a poor copy of the real thing.


AI art is created with algorithms that enable AI to learn a specific aesthetic by analyzing thousands of images; The algorithm then…


Added by Stephanie Glen on May 9, 2021 at 2:30pm — No Comments

The Opioid Epidemic and Ethical Data Warehousing


  • Data science and ML is being used to tackle the ongoing opioid epidemic.
  • Medical databases are rich with information but lack informed consent.
  • Problems of heterogeneous data and ethical concerns pose significant challenges,
  • Social media mining is emerging as a tool, but has its ethical problems as…

Added by Stephanie Glen on April 30, 2021 at 8:14am — No Comments

Why you should put Fixed Point Strategies in Your Toolbox

  • Fixed point strategies can approximate infinite depth.
  • The methods are easy to…

Added by Stephanie Glen on April 25, 2021 at 6:00am — No Comments

Unusual Applications of Data Science

  • A round up of unusual applications of data science from recent academic journals,
  • Four examples far outside the usual realm of finance, professional services, and IT.
  • Applications range from tracking surgical tools to assessing suicide risk.

Tens of thousands data science research articles are published each year in…


Added by Stephanie Glen on April 18, 2021 at 1:00pm — No Comments

Interpretive Analytics in One Picture

  • Interpretive analytics (IA) takes you beyond number crunching.
  • AI is the key to getting involved in strategic decision making.
  • Strategies for using interpretive analytics in one picture.

The final step in the…


Added by Stephanie Glen on April 11, 2021 at 7:30am — No Comments

What is Good Data and Where Do You Find It?

  • Bad data is worse than no data at all.
  • What is “good” data and where do you find it?
  • Best practices for data analysis.

There’s no such thing as perfect data, but there are several factors that qualify data as good [1]:

  • It’s readable and well-documented,
  • It’s readily available. For example, it’s…

Added by Stephanie Glen on March 31, 2021 at 9:53am — No Comments

Often Confused Terms in Statistics

  • Do you know the difference between a covariate and covariance, or probable and plausible?
  • Many terms in statistics are confused, even by experts
  • Eleven of the most commonly confused terms

Hundreds of years of statistical analysis by tens of thousands of independent researchers has led to an array of similar sounding…


Added by Stephanie Glen on March 24, 2021 at 1:54pm — 1 Comment

Data Science Lessons Learned from the Covid-19 Calamity

  • Covid-19 data was haphazardly collected and analyzed, leading to a national disaster.
  • Pandemic predictions were no more accurate than a Magic 8 Ball.
  • Lessons to be learned from the mistakes made.

In the early days of the Covid-19 pandemic, the U.S. government didn’t have the faintest clue about the pandemic's…


Added by Stephanie Glen on March 19, 2021 at 7:00am — No Comments

4 Tips to Improve Your Statistical Literacy

  • Improve your statistical literacy by following a few good practices.
  • A few examples of "unstatistics".
  • Four tips for avoiding common pitfalls in data analysis.

Statistical literacy (assessing statistical statements, arguments and associations) is extremely important for producing and interpreting results from data…


Added by Stephanie Glen on March 9, 2021 at 1:38pm — No Comments

Tweaking Algorithmic Filtering to Combat Fake News

  • A significant portion of social media content uses Algorithmic Filtering (AF).
  • AF results in issues with fake news, polarizing opinions.
  • A tweak to AF may be the solution for improving the user experience.

According to a recent Pew Research Center Study, 53% of U.S. Adults get their news regularly from social…


Added by Stephanie Glen on February 28, 2021 at 4:30pm — 1 Comment

Interconnectivity of Univariate Probability Distributions

  • Knowing how probability distributions are connected can be helpful, especially when it comes to choosing models.
  • Many charts showing this interconnectivity exist; Most are cluttered with more information than you're probably not looking for.
  • A simplified chart to help you choose between models.

Studying the…


Added by Stephanie Glen on February 22, 2021 at 11:00am — No Comments

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