Turning Big Data into a Complesing Visual Story with Data Visualization
Case for Chief Data Officer
Implementing and Sustaining a Data Governance Program in a Diversified, Changing Environment
Test-Driven Database Development
PowerPoint Presentation: Test Driven Development
Wed09Jul2014John Deere Financial
Building a Successful Business Driven Data Architecture
Wed20Aug20148:30 AM - 11:30 AM
Curriculum Review for Data Analytics Major - Drake University
DMACC - Ankeny
Maple Room - Building 7
2006 S Ankeny Blvd
Ankeny, IA 50023
Drake University is asking DAMA Iowa for help in reviewing curriculum for its new Data Analystics Major.
Students majoring in Data Analytics will complete an interdisciplinary core curriculum that emphasizes both liberal arts and professional development, as well as a specialization in a eld to which Data Analytics can be applied. Majors will develop a prociency in algorithmic data
Analysis that will allow them to analyze a wide variety of data sets and be able to create extensions of existing algorithmic data analysis techniques to meet application-specic needs. Opportunities for data analytics students arise in a wide variety of elds including actuarial science, bioinformatics, computer science, economics, nance, insurance, marketing, mathematics and other sciences.
Tue16Sep20148:30 AM - 11:30 AM
How can everyone say data is valuable but no one can say what that value is? Industry needs a general, practical, and useful method of putting a notional dollar value on data. Wells Fargo has filed a patent on such a method. This presentation walks the participants through the thought process behind the method and how the method would be applied.
Bob Schmidt is the inventor of the method. He is an award-winning presenter with many national speaking credits. He is author of the 1997 Prentice Hall book, “Data Modeling for Information Professionals.” For the last four years he has worked as a database analyst in Wells Fargo capital markets. He began working in database as a consultant for Anderson and Ernst back when VSAM was all there was. He has worked at some of the world’s largest companies including Exxon, Monsanto, and Service Corporation International. He has also been an entrepreneur and worked in start ups.
Simpson Barn, 6169 Northglenn Dr, Johnston, IA 50131
PowerPoint Presentation: A Practical Approach to the Valuation of Data
Tue21Oct20148:30AM - 11:30AM
Data VIS and Exploratory Data Analysis with R
Data VIS 101: The pixel. One single itsy-bitsy pixel can convey a wealth of information. Throw a million pixels into a matrix and you have a communication medium of unparalleled power, yet you use it to look at funny pictures of kittens. As Dr. Sheldon Cooper would say "For Shame". Come to this session and I'll go over the strengths and weaknesses of all the basic chart types and what simple steps you can do to make your data more engaging and easier to understand. The general points of this talk are platform agnostic, but most demos will be done using d3.js. Speaker Bio: Jon von Gillern is an IADNUG leader and consultant from West Des Moines, Iowa. He has been programing for the past 15 years and currently infatuated with d3.js. Jon has release several tools for programmers over the years, including Nitriq Code Analysis, Atomiq Code Duplication Finder, Regex Pixie. He also in the process of launching www.machete.io, a tool for creating interactive pivot charts.
Exploratory Data Analysis with R: R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This presentation will provide an introduction to the R programming language as well as demonstrate how R can be used for exploratory data analysis. Speaker Bio: Matthew is a software consultant with over 14 years of professional experience building large-scale data-driven desktop, server, and web applications. He is a graduate of Iowa State University with double degrees in Computer Science and Philosophy with a minor in Economics. Matthew's current interests include data analytics, data visualization, and machine learning.
To learn more, please visit: www.matthewrenze.com
Wells Fargo Financial Building, 666 Walnut, Des Moines, IA 50309 (Please note: Location is downtown Des Moines, access via skywalk or Walgreen's on Walnut. Proceed to elevators on 3rd floor for transit to conference rooms on 9th floor.)
A Journey from Business Information to an Integrated Data Ecosystem
Mike Fuller and Alex Randall