Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value, by Larry Burns
Learn how to make business intelligence (BI) successful in your organization.
Why now? Why Business unIntelligence?
What’s it all about, trinity?
Pandora’s Box of information
Process, process every where
There’s nowt so queer as folk
Architecting the biz-tech ecosystem
The birth of the Beast
Beauty and the Beast—the biz-tech ecosystem
Key features of the biz-tech ecosystem
Tyranny of the Beast
In practice—all change in the organization
The knowledge pyramid and the ancient serpent of wisdom
What is this thing called data?
From information to data
The modern meaning model—m3
Database daemons and delicate data models
The importance of being information
IDEAL architecture (1): Information,
Metadata is two four-letter words
In practice—focusing IT on information
Questions and answers
Where do you come from (my lovely)?
It’s my data, and I’ll play if I want to
I’m going home…and I’m taking my data with me
Information from beyond the Pale
Tales of sails and sales
A new model for information trust
IDEAL architecture (2): Information,
In practice—(re)building trust in data
Turning the tables on business
The data warehouse at the end of the universe
Today’s conundrum—consistency or timeliness
Most of our assumptions have outlived their uselessness
IDEAL architecture (3): Information,
Beyond the data warehouse
REAL architecture (1): Core business information
In practice—upgrading your data warehouse
Data deluge, information tsunami
What is big data and why bother?
Internal reality mirrors the external
A primer on big data technology
Information—the tri-domain logical model
REAL architecture (2): Pillars replace layers
In practice—bringing big data on board
Hunter-gatherers, farmers and industrialists
From make and sell to sense and respond
Process is at the heart of decision making
Stability or agility (also known as SOA)
Keeping up with the fashionistas
IDEAL architecture (4), Process
REAL architecture (3), The six process-ations
In practice—implementing process flexibility
BI (the first time)
Information—some recent history
Copyright or copywrong
I spy with my little eye something beginning…
The care and grooming of content
A marriage of convenience
Knowledge management is the answer; now, what was the question?
Models, ontologies and the Semantic Web
In practice—finally moving beyond data
Meaning—and the stories we tell ourselves
Rational decision making, allegedly
Insight—engaging the evolved mind
Working 9 to 5…at the MIS mill
Enter prize two dot zero
People who need people…
IDEAL architecture (5): People
In practice—introducing collaborative decision making
IDEAL architecture (6): Summary
REAL architecture (4): Implementation
Past tense, future perfect
How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won’t tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include:
This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature. It will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively.
This book is about many things. But principally, it’s about success. The goal of any enterprise initiative is to succeed and to derive benefit—benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful.
This book will show you how.
This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort—not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data. There are six sections to this book:
Larry Burns has worked in IT for more than 30 years as a database developer, DBA, data modeler, application developer, consultant, and teacher. He holds a B.S. in Mathematics from the University of Washington, and a Master’s degree in Software Engineering from Seattle University. He currently works for a global Fortune 500 company as a Data and BI Architect and Data Engineer (i.e., data modeler). He has written numerous articles for TDAN.com and DMReview.com, and is the author of Building the Agile Database (Technics Publications LLC, 2011). His interests include music, gardening, and landscaping. He is also an active member of Toastmasters, the international public speaking organization. He lives in Kent, Washington with his wife Becky.
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