Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled --- projects flounder, are late and go over budget. This book shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget -- turning the deluge of data into actionable information that fuels business knowledge.
%0 Book
%1 Sherman15
%A Sherman, Rick
%C Amsterdam
%D 2015
%I Morgan Kaufmann
%K 01624 103 book acm elsevier ai enterprise information management assist data processing pattern recognition analysis database
%T Business Intelligence Guidebook
%U http://www.sciencedirect.com/science/book/9780124114616
%X Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled --- projects flounder, are late and go over budget. This book shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget -- turning the deluge of data into actionable information that fuels business knowledge.
%@ 978-0-12-411461-6
@book{Sherman15,
abstract = {Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled --- projects flounder, are late and go over budget. This book shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget -- turning the deluge of data into actionable information that fuels business knowledge.},
added-at = {2016-11-04T19:13:20.000+0100},
address = {Amsterdam},
author = {Sherman, Rick},
biburl = {https://www.bibsonomy.org/bibtex/2dcd3da624c978e8a3ad2e6675bbf6bab/flint63},
file = {ACM Learning Center eBook:2015/Sherman15.pdf:PDF;Amazon Search inside:http\://www.amazon.de/gp/reader/012411461X/:URL},
groups = {public},
interhash = {bc2b99474c2d9a123f96c5a1f413b778},
intrahash = {dcd3da624c978e8a3ad2e6675bbf6bab},
isbn = {978-0-12-411461-6},
keywords = {01624 103 book acm elsevier ai enterprise information management assist data processing pattern recognition analysis database},
publisher = {Morgan Kaufmann},
timestamp = {2017-07-13T17:28:24.000+0200},
title = {Business Intelligence Guidebook},
url = {http://www.sciencedirect.com/science/book/9780124114616},
username = {flint63},
year = 2015
}