Data Management University Blog

Search DMU Library

ARTICLE ARCHIVE

DATA MANAGEMENT MOMENTS

2 - 3 Minute Data Management Videos

9 May, 2018

The Business Analyst meets with stakeholders, but does the Business Analyst manage stakeholders? The successful BA should engage in stakeholder management to ensure the correct user provides requirements. Introduction A stakeholder is an individual who has an interest in your application and provides requirements, processes, or other information. The Business Analyst (BA) has the sometimes dif

0 comments

4 May, 2018

Foundations of Data Science

04 May, 2018

Anne Marie Smith, Ph.D.

More Data Geekery

Data manipulation, analysis and data management combine with scientific methods, processes, and systems to extract knowledge or insights from large amounts of data Introduction The phrase "data science" is akin to the proverbial elephant and the eight blind men - each one imagining what an "elephant" is by what he feels in the small area to which he has access. For some, data science is statisti

0 comments

18 Apr, 2018

Integrating Enterprise Information Management with Project Management

18 April, 2018

Michael F. Palladino, PMP

Project Management

Integrating the components of enterprise information management into a project centric organization can be challenging, but it is essential for successfully using data as an asset. Introduction One the challenges with implementing Enterprise Information Management (EIM) is integrating and gaining traction in a project centric organization. For companies with a more formalized Project Management

0 comments

11 Apr, 2018

Data Drives the Digitization of Insurance

11 April, 2018

Martin J. Frappolli, CPCU, FIDM, AIC

More Data Geekery

Data generated by The Internet of Things is having a major effect on insurance companies’ approaches to enterprise data management Introduction Even before the use of computers, data was at the heart of the insurance business. Unlike other enterprises that sell a tangible product, insurers sell a promise. In exchange for your premium dollar today, the insurer promises to pay for your future co

0 comments

29 Mar, 2018

Ensuring Speed, Flexibility and Agility with Self Service Analytics

29 March, 2018

Patricia L. Saporito

Data Warehousing

Introduction Today’s digital world and fast paced business environment demands pervasive, timely analytics. Organizations must deliver speed, agility and ease of use for data access and analytics. In response, business intelligence (BI) and analytics teams are shifting to a more agile, self-service model that enables greater user access to data and the ability to create and perform individualize

0 comments

23 Mar, 2018

Enterprise Architecture Defined

23 March, 2018

Samuel B. Holcman

More Data Geekery

Samuel B. Holcman An enterprise architecture (EA) is a series of conceptual blueprints that defines the structure and operation of an organization to enable strategic progress. Enterprise Architecture (EA) explicitly describes an organization through a set of independent, non-redundant artifacts, defines how these artifacts relate with each other, and develops a set of prioritized, aligned initiat

0 comments

15 Mar, 2018

Concepts and Uses of Open Data

15 March, 2018

Paula R. Buchanan

More Data Geekery

The use of open data is becoming more popular. Data management professionals should develop familiarity with the concept, use, and challenges of open data. Introduction The concept of open data is not new, but its use is becoming more prevalent as the availability of sources, and the validity of those sources, grows. Problems often arise because these sources are commercially valuable or can be ag

0 comments

5 Mar, 2018

Improving the ROI of Big Data and Analytics through Leveraging new Sources of Data

05 March, 2018

Bart Baesens

Data Warehousing

Investing in new sources of data can help to unravel complex customer behavior and improve key analytical insights Introduction Big Data and Analytics are all around these days. Most companies already have their first analytical models in production and are thinking about further boosting their performance. Far too often, they focus on the analytical techniques rather than on the key ingredient: d

0 comments

21 Feb, 2018

The Poor State of Data Quality and a Solution

21 February, 2018

Thomas C. Redman

Data Quality

A CONVERSATION WITH TOM REDMAN : Anne Marie Smith, Ph.D. Data quality has been a continual challenge for almost every organization for many years. In this recap of a conversation with Dr. Thomas C. Redman, he offers a possible simple solution. AMS: Subscribers to Data Management University should study “Only 3% of Companies Data Meet Basic Quality Standards” published September 2017 by Tadhg N

0 comments

16 Feb, 2018

Differences Between Text and Big Data

16 February, 2018

William H. Inmon

Textual Data Analysis

Text and Big Data are not synonymous, regardless of attempts to force them to be considered as similar. One of the questions that vendors love to ask (and to confuse people with) is combining / mixing Big Data and text. The confusion becomes apparent when the question “Isn’t text the same thing as Big Data?” arises. The short answer is that text can be placed inside Big Data, but Big Da

0 comments

View all podcasts

View Our Podcasts

DMU provides regular podcasts of our best webinars, expert speaking events and our 3 minute Data Management Moment teaching videos.

DMU Webinars

View Our Upcoming Webinars

Click here to signup for our upcoming expert webinars and to view our previous webinars