book
Obtaining Value from Big Data for Service Delivery
by Stephen H. Kaisler, Frank Armour, J. Alberto Espinosa, William H. Money
December 2015
Beginner to intermediate
188 pages
4h 56m
English
Content preview from Obtaining Value from Big Data for Service Delivery
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial

Methods-Based Analytics Taxonomy
Business analytics has recently focused on statistical analysis, data mining, and statistical machine learning methods to analyze Big Data. These are mathematical methods that work with numerical data or symbolic data encoded as numerical data, but they do not capture the domain material that reflects critical factors that affect business decisions, such as culture; political environment; gender, age, and ethnic preferences; geographic and demographic features; and so on.
There are a multitude of other methods for analyzing data and information. Table A.1 presents a taxonomy of analytics based on classes of methods. This taxonomy was first developed by Stephen Kaisler and Claudio Cioffi-Revilla (Kaisler ...