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It's All Analytics - Part II - Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization (Hardcover)
Loot Price: R1,911
Discovery Miles 19 110
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It's All Analytics - Part II - Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization (Hardcover)
Expected to ship within 12 - 17 working days
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Donate to Against Period Poverty
Total price: R1,931
Discovery Miles: 19 310
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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.
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