Decision Support Systems Current
Events, Discussions, and
Announcements
It is the nature of a man as he grows older... to protest against change, particularly change for the better. -John Steinbeck |
| |
|
Statistics for people in a hurry
Daily Decisions Based on Data: Data Driven Life
Analytics and Sports: The Electronic Coach
The exam
The Simple Genius of a good graphic
3 Ways to Make Better Decisions
One simple reason we aren't acting faster on climate change
More Presentations
HCI
Business Intelligence
Hadoop
Data Governance
Presentations
Customs
Immigration to the U.S.
This is eligible for networking credit.
This is eligible for networking credit.
RESCHEDULED!
The EQ Pitch is on! Thursday, November 29th at 5pm at ABH in the US Bank Room
The EQ Pitch is on! Thursday, November 15th at 5pm at ABH
And the debate continues ... What do you hear, Yanny or Laurel? Here is more background on the issue.
The Mark Zuckerberg vs. Ted Cruz
Even Imperfect Algorithms Can Improve the Criminal Justice System - The New York Times
More about security
-
The Security Mirage
What is Big Data?; An alternative view
-
Edward Snowden Interview
Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women
As seen in Reuters, by Jeffrey Dastin, October 9, 2018.
- Amazon has discontinued an artificial intelligence recruiting tool its machine learning specialists developed to automate the
hiring process because they determined it was biased against women. Starting in 2014, a group of Amazon researchers created 500
computer models focused on specific job functions and locations, training each to recognize about 50,000 terms that showed up on
past Amazon job candidates' resumes. However, because most resumes submitted to Amazon had come from men, the models tended to
favor candidates who described themselves using verbs more commonly found on male engineers' resumes, such as "executed" and
"captured." In addition, the program penalized resumes that included the word "women's" and downgraded graduates of two
all-women's colleges. Although Amazon declined to comment on the technology's issues, the company said the tool was “never used by
Amazon recruiters to evaluate candidates.” The Full Article.
Presentations
Customs
Immigration to the U.S.
Visualization Recommendations
A Comprehensive Guide to the Grammar of Graphics for Effective Visualization of Multi-dimensional Data
The Art of Effective Visualization of Multi-dimensional Data
15 Stunning Data Visualizations (And What you can Learn from Them)
Big Data
Graphs by MIT Students Show the Enormously Intrusive Nature of Metadata
Enron Offers an Unlikely Boost to E-Mail Surveillance
Universities Rush to Roll out Computer Science Ethics Courses
Governenance
What is Data Governance
-
Data Governance is the exercise of decision-making and authority for data-related matters
-
Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.
-
Includes organizational bodies, rules (standards, policies, etc.), decision rights, accountabilities and enforcement methods
What are the Goals and Principles?
-
Enable better decision-making
-
Reduce operational friction
-
Protect the needs of data stakeholders
-
Train management and staff to adopt common approaches to data issues
-
Build standard, repeatable processes
-
Reduce costs and increase effectiveness through coordination of efforts
-
Ensure transparency of processes
Universal Data Governance Principles
-
Integrity
-
Transparency
-
Auditability
-
Accountability
-
Stewardship
-
Checks and Balances
-
Standardization
-
Change Management
Data Stewards
Assigning Data Ownership
-
Assign Data Ownership (e.g. compliance and access management)
-
Who can do what with the data: access only, use only, how much
-
Federated Responsibilities
Governance and Decision Making
Guidance by Gwen
The Data Governance Institute
Governance Cartoons
Why Do We Need Data Governance?
DataVersity
Trends in Data Governance
Decision Making
Dan Gilbert: Why we make bad decisions
Sheena Iyengar: How to make choosing easier
Are we in control of our own decisions?
The Moral Roots of Liberals and Conservatives
Perception issues: what color is this dress?
-
More about it
Attention to details
-
Basketball
Perception issues: what color is this dress?
DSS and Humans: Issues for Decision Making
- Confidence Games: Why People Don’t Trust Machines to Be Right
- Charles Barkley Comments on Role of Advanced Statistics, Analytics in NBA
The Joy of Statistics
- The best stats you've ever seen
- Global population growth, box by box
- How not to be ignorant about the world
Approved paper topics.
- Big Data
- Business Intelligence Use in a particular industry
- Analytics Maturity
- Data Warehousing
- Data Mining
- ETL
- Data Governance
- OLAP
- Comparison of BI Tools
- Intelligence in BI Tools
- Data Visualization
- Metaphors in BI
- DashBoards
- Human-Computer Interaction Systems
- Transnational Application Issues
- Evaluation of BI Tools
Each student must select a topic from the above list and have it approved. Other topics must be approved by speaking to Dr. Sauter.
Analytics Blogs
- Mike Trick's OR Blog
- Punk Rock Operations Research
- Business Intelligence -- Oracle
- Cyril
on Business Intelligence
| UM-St. Louis
Home Page
| College
of
Business Page | IS
Home Page | DSS
Home Page |
This page was last modified on: 06/28/2019 17:14:00
URL: https://umsl.edu/~sauterv/DSS/current.html
Page Owner: Professor
Sauter
(Vicki.Sauter@umsl.edu)
© Vicki L. Sauter. All rights reserved.