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Growing Business Intelligence : An Agile Approach to Leveraging Data and Analytics for Maximum Business Value by Larry Burns (2016, Trade Paperback)
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Support both data discovery and data reuse. Emphasise data transparency over data quality. This book is about many things. But principally, its about success. The goal of any enterprise initiative is to succeed and to derive benefit -- benefit that all stakeholders can share in.
- Buy It NowGrowing Business Intelligence: An Agile Approach to Leveraging Data & Analytics
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About this product
Product Identifiers
PublisherTechnics Publications, LLC
ISBN-101634621476
ISBN-139781634621472
eBay Product ID (ePID)242818278
Product Key Features
Number of Pages210 Pages
Publication NameGrowing Business Intelligence : An Agile Approach to Leveraging Data and Analytics for Maximum Business Value
LanguageEnglish
Publication Year2016
SubjectKnowledge Capital, Business Ethics, Databases / Data Mining
TypeTextbook
AuthorLarry Burns
Subject AreaComputers, Business & Economics
FormatTrade Paperback
Dimensions
Item Weight13.9 Oz
Item Length9.3 in
Item Width7.5 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2016-950003
Dewey Edition23
IllustratedYes
Dewey Decimal658.4/72
SynopsisLearn how to make business intelligence (BI) successful in your organization. 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: Have an overarching strategy, plan, and roadmap Recognize and leverage your existing technology investments Support both data discovery and data reuse Keep data in motion, not at rest Separate information delivery from data storage Emphasize data transparency over data quality Take an agile approach to BI development. 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: In Section I, What Kind of Garden Do You Want? , we will examine the benefits and risks of Business Intelligence, making the central point that BI is a business (not IT) process designed to manage data assets in pursuit of enterprise goals. We will show how data, when properly managed and used, can be a key enabler of several types of core business processes. The purpose of this section is to help you define the particular benefit(s) you want from BI. In Section II, Building the Bones , we will talk about how to design and build out the "hardscape" (infrastructure) of your BI environment. This stage of the process involves leveraging existing technology investments and iteratively moving toward your desired target state BI architecture. In Section III, From the Ground Up , we explore the more detailed aspects of implementing your BI operational environment. In Section IV, Weeds, Pests and Critters , we talk about the myriad of things that can go wrong on a BI project, and discuss ways of mitigating these risks. In Section V, The Sustainable Garden , we talk about how to create a BI infrastructure that is easy and inexpensive to maintain. Finally, Section VI presents a case study illustrating the principles of this book, as applied to a fictional manufacturing company (the Blue Moon Guitar Company)., How do we enable our organisations to enjoy the often significant benefits of BI and analytics, while at the same time minimising the cost and risk of failure? In this book, I am not going to try to be prescriptive; I wont 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 organisation. Some of these core principles include: Have an overarching strategy, plan, and roadmap. Recognise and leverage your existing technology investments. Support both data discovery and data reuse. Keep data in motion, not at rest. Separate information delivery from data storage. Emphasise data transparency over data quality. Take an agile approach to BI development. 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 organisational stakeholders. It will show you how to maximise 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, its 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 organisation 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 organisations 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: In Section I, What Kind of Garden Do You Want?, we will examine the benefits and risks of Business Intelligence, making the central point that BI is a business (not IT) process designed to manage data assets in pursuit of enterprise goals. We will show how data, when properly managed and used, can be a key enabler of several types of core business processes. The purpose of this section is to help you define the particular benefit(s) you want from BI. In Section II, Building the Bones, we will talk about how to design and build out the hardscape (infrastructure) of your BI environment. This stage of the process involves leveraging existing technology investments and iteratively moving toward your desired target state BI architecture. In Section III, From the Ground Up, we explore the more detailed aspects of implementing your BI operational environment. In Section IV, Weeds, Pests and Critters, we talk about the myriad of things that can go wrong on a BI project, and discuss ways of mitigating these risks. In Section V, The Sustainable Garden, we talk about how to create a BI infrastructure that is easy and inexpensive to maintain. Finally, Section VI presents a case study illustrating the principles of this book, as applied to a fictional manufacturing company (the Blue Moon Guitar Company).
LC Classification NumberHD38.7.B858 2016
