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Mike Urmeneta, Ed.D.

Category Archives: Analytics

The Data Science Workflow

by Michael

This was one of the first things I learned and is pretty much my go-to.

Posted in Analytics |

Imagine if your computer had an automatic reason-checker, alongside the spell-checker

by Michael

Select Quotes:

11:20 “Professor Chris Reed is working with the BBC on reason-checking tools, to supplement fact-checking, using AI techniques known as ‘argument technology’.” Select quotes below.

11:59 “And by argument we don’t mean row [squabble]. We mean a reasoned series of steps drawing to a conclusion”

12:36 “It brings together the facts, history, and context which are crucial for a clear picture. And it could highlight key facts during political debates.”

13:52 “Once we’ve got this ability to analyze the structure of argument and debate and build up these huge maps of all of the ideas, the bits of evidence, the claims and counterclaims, and how they all interact. The way in which a news organization makes reference to a scientific article. The way in which tweets follow up on that news article. The way in which those tweets are then referred to by other news sources and that whole train is then picked up in a formal discussion in parliament and then reported back into the media. There’s this web of argumentation and debate…”

14:28 “…and that web, if we can make it available to people, if we can surface the arguments and the disagreements and the evidence and indeed the counter-evidence, then perhaps we can start to tackle some of these deep societal issues like misinformation and fake news”

15:25 “Imagine if your computer had an automatic reason-checker, alongside the spell-checker. It could help you construct stronger arguments and see things from other perspectives.”

16:03 “Like fact-checkers, argument AI is more about clarifying and adding context than proving points right or wrong. When intelligence analysts discuss potential threats, AI could join the conversation, challenging their arguments, to avoid unnecessary conflicts.”

Posted in Analytics |

Admissions Criteria and First-Year Academic Success – Stepwise regression in SPSS

by Michael
Posted in Analytics, Education |

Financial Aid Optimization Process 2 of 2 – Sample extract file format

by Michael

The census file and the bi-weekly interim files all have the same format. With this process, most of the time is spent ensuring that the data file is clean and properly configured. Below is a data dictionary of a sample file.

Financial-Aid-Optimization-FileDownload
Posted in Analytics, Education |

Embedding a Tableau Dashboard – Veteran cohort example

by Michael
Posted in Analytics, Education |

Weapons of Math Destruction

by Michael

In 2018, I had the honor of meeting Dr. Cathy O’Neil, author of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. It’ll change the way you look at data. Catch her blog here: https://mathbabe.org/

Posted in Analytics |

Data – Information – Knowledge – Wisdom

by Michael

Wisdom Knowledge Information Data Pyramid[15]

From Falkayn’s Nest http://blog.falkayn.com/2011/03/is-knowledge-all-there-is.html

Posted in Analytics, Infographic | Tags: Analytics, Business Intelligence, Infographic |

The Business Intel You Need to Succeed

by Michael


Boston University Online

Posted in Analytics, Infographic | Tags: Analytics, Infographic |

With Respect to Data Tables, Sometimes Less is More

by Michael

ZY8dKpA

Posted in Analytics, Tips and Tricks, Tutorials | Tags: Analytics, Tips and Tricks, Tutorials |

What You Can Do in 3 Minutes with Tableau

by Michael

Posted in Analytics | Tags: Analytics |
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About

Dr. Mike Urmeneta is an award-winning researcher, educator, data scientist, and storyteller with a passion for helping institutions improve and succeed through agile and collaborative approaches to research and analysis. He has extensive experience working with universities and has been recognized for his work by leading organizations such as the Association for Institutional Research, the National Association of College and University Business Officers, and EDUCAUSE. His diverse background and ability to build strong relationships with a variety of stakeholders have allowed him to make a significant impact on institutional policies, procedures, and priorities. Most recently, as an instructor for AIR’s Data Literacy Institute, he has been preparing leadership teams to embrace a culture of data-informed decision-making. Prior to this role, he served as the director of analytics and business intelligence for the New York Institute of Technology, providing strategic guidance to various departments, the president’s office, and the board of trustees. Dr. Urmeneta has also held various administrative roles at New York University, including in admissions, financial aid, enrollment and retention, alumni relations, and development. He holds a Bachelor of Science in Mechanical Engineering and a Master of Science in Management from NYU, and a Doctor of Education degree from Northeastern University, where he received the Dean’s Medal for Outstanding Doctoral Work for his research on first-generation college students.

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