國立虎尾科技大學 |

It's all analytics.. Part II,. Designing an integrated AI, analytics, and data science architecture for your organization

Record Type:	Language materials, printed : Monograph/item
Title/Author:	It's all analytics./ Scott Burk, David E. Sweener, Gary Miner.
remainder title:	Designing an integrated AI, analytics, and data science architecture for your organization
Author:	Burk, Scott William,
other author:	Sweenor, David.
Published:	Boca Raton, FL :Routledge, : 2022.,
Description:	1 online resource :ill. :
Notes:	"A Productivity Press book."
Subject:	Artificial intelligence. -
Online resource:	https://www.taylorfrancis.com/books/9780429343957
ISBN:	9780429343957

It's all analytics.. Part II,. Designing an integrated AI, analytics, and data science architecture for your organization
Burk, Scott William,1961-

It's all analytics.Part II,Designing an integrated AI, analytics, and data science architecture for your organization[electronic resource] /Designing an integrated AI, analytics, and data science architecture for your organizationScott Burk, David E. Sweener, Gary Miner. - Boca Raton, FL :Routledge,2022. - 1 online resource :ill.

"A Productivity Press book."

Includes bibliographical references and index.

Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It's All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses . The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture - the company culture culture!!! To be successful, the CEO's and Decision Makers of a company / organization must be fully cognizant of the cultural focus on establishing a center of excellence in analytics'. Simply, "culture - company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses .. Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses . Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen.

ISBN: 9780429343957

Standard No.: 10.4324/9780429343957doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

It's all analytics.. Part II,. Designing an integrated AI, analytics, and data science architecture for your organization
LDR:04524cam a2200325 a 4500 001 1108481
003 FlBoTFG
005 20211021015755.0
006 m o d
007 cr cnu---unuuu
008 231024s2022 flua ob 001 0 eng d
020 $a 9780429343957 $q (ebook)
020 $a 9781000433999 $q (ePub)
020 $a 9781000433982 $q (ePDF)
020 $z 9780367359713 $q (hbk.)
020 $z 9781032066813 $q (pbk.)
024 7 $a 10.4324/9780429343957 $2 doi
035 $a 9780429343957
040 $a OCoLC-P $b eng $c OCoLC-P
041 0 $a eng
050 4 $a Q335
082 0 4 $a 006.3 $2 23
100 1 $a Burk, Scott William, $d 1961- $3 1419130
245 1 0 $a It's all analytics. $n Part II, $p Designing an integrated AI, analytics, and data science architecture for your organization $h [electronic resource] / $c Scott Burk, David E. Sweener, Gary Miner.
246 3 0 $a Designing an integrated AI, analytics, and data science architecture for your organization
260 $a Boca Raton, FL : $b Routledge, $c 2022.
300 $a 1 online resource : $b ill.
500 $a "A Productivity Press book."
504 $a Includes bibliographical references and index.
520 $a Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It's All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses . The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture - the company culture culture!!! To be successful, the CEO's and Decision Makers of a company / organization must be fully cognizant of the cultural focus on establishing a center of excellence in analytics'. Simply, "culture - company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses .. Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses . Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen.
588 $a Description based on print version record.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Decision making. $3 528319
650 0 $a Visual analytics. $3 681559
650 0 $a Big data. $3 981821
700 1 $a Sweenor, David. $3 1419131
700 1 $a Miner, Gary. $3 907383
856 4 0 $u https://www.taylorfrancis.com/books/9780429343957