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 –
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
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
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
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
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
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
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
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
Data theft is a serious risk for every organization, regardless of industry or size. Establishing a strong Information Governance framework to defend against this risk is an essential practice. Introduction According to the Washington Post, Insurance Journal and other business sources, a
