Transcending Business Intelligence

Transcending Business Intelligence
Author: Mats Danielson
Publisher:
Total Pages: 166
Release: 2019-04-10
Genre:
ISBN: 9781093490053

How on Earth did this happen? The question is not infrequent, but more to the point, it?s unnecessary. It arises because in many cases people haven?t thought things through beforehand. Yes, sometimes people can be unlucky, but far from every time that things go awry; bad luck is never so consistent ? by definition. Thinking things through properly beforehand might seem a fairly obvious requirement for making a good decision, but startlingly often, even critical decisions are made without any in depth analysis. Well, there may have been some background data lying around somewhere, but not much is done with it. Though it's easy to blame authoritarian leadership or the like, poor decision making is far more usually due to not really knowing what to do with the available information, whether it's sufficient and what else needs to be known There?s nothing weird or idiotic about today?s decision makers, but there often is about the tools and methods available to them. It would be more accurate to say that many decision makers have been lead astray regarding their remit and capacity, but fortunately with structured decision processes they can be guided back on track far more easily than had they been as dim- witted as some of their decisions would indicate.Businesses introduce various BI solutions both timely and untimely, but what most of them don't have is any kind of methodology by which to deal with decisions. With no processes, knowledge, techniques or tools, they soon come to grief. Happily this is fairly easy to remedy.Decision processes and decision methods can be greatly improved. In this book we simply explain how to go about it.

Business Intelligence, Reprint Edition

Business Intelligence, Reprint Edition
Author: Stacia Misner
Publisher: Microsoft Press
Total Pages: 196
Release: 2008-12-10
Genre:
ISBN: 0735645833

“This readable, practical book helps business people quickly understand what business intelligence is, how it works, where it's used, and why and when to use it—all illustrated by real case studies, not just theory.” Nigel Pendse Author of The OLAP Report www.olapreport.com So much information, so little time. All too often, business data is hard to get at and use—thus slowing decision-making to a crawl. This insightful book illustrates how organizations can make better, faster decisions about their customers, partners, and operations by turning mountains of data into valuable business information that’s always at the fingertips of decision makers. You’ll learn what’s involved in using business intelligence to bring together information, people, and technology to create successful business strategies—and how to execute those strategies with confidence. Topics covered include: THE BUSINESS INTELLIGENCE MINDSET: Discover the basics behind business intelligence, such as how it’s defined, why and how to use it in your organization, and what characteristics, components, and general architecture most business intelligence solutions share. THE CASE FOR BUSINESS INTELLIGENCE: Read how world leaders in finance, manufacturing, and retail have successfully implemented business intelligence solutions and see what benefits they have reaped. THE PRACTICE OF BUSINESS INTELLIGENCE: Find out what’s involved in implementing a business intelligence solution in your organization, including how to identify your business intelligence opportunities, what decisions you must make to get a business intelligence project going, and what to do to sustain the momentum so that you can continue to make sense of all the data you gather.

Fundamentals of Business Intelligence

Fundamentals of Business Intelligence
Author: Wilfried Grossmann
Publisher: Springer
Total Pages: 361
Release: 2015-06-02
Genre: Computers
ISBN: 3662465310

This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.

Business Intelligence in Plain Language

Business Intelligence in Plain Language
Author: Jeremy M. Kolb
Publisher: CreateSpace
Total Pages: 66
Release: 2013-05-21
Genre: Business intelligence
ISBN: 9781479324187

One day a man walked into Asgard Inc. and changed the company forever. Unlike anyone who came before, he remembered and understood data as naturally as a fish swims in water. The CEO was shocked at how well the man knew the company. He started posing questions to this man. Who are my best customers? Why is this product struggling? Where is my greatest growth happening? The man answered these and more. Using his understanding of data, he identified key new markets, he discovered the best places to invest capital, and he even predicted the future. Overnight Asgard Inc. changed. Where before the CEO relied on limited information and gut feelings, now true knowledge guided his actions. The CEO took the man's hand in gratitude and asked, "Who are you?" and he replied, "I am Business Intelligence." Business Intelligence(BI) is shrouded in mystery for a lot of us but it doesn't need to stay that way. Business Intelligence in Plain Language is a systematic exploration of this complicated tool. I'll teach you about what it does, how it works, and most importantly how you can benefit from it. In this book you will learn about: Business Intelligence Data Mining Data Warehousing Data Discovery Big Data Outlier Detection Pattern Recognition Predictive Modeling Data Transformation and much more This book is your practical guide to understanding and implementing Business Intelligence.

Open Source Data Warehousing and Business Intelligence

Open Source Data Warehousing and Business Intelligence
Author: Lakshman Bulusu
Publisher: CRC Press
Total Pages: 430
Release: 2012-08-06
Genre: Computers
ISBN: 1466578769

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &

Business Intelligence

Business Intelligence
Author: Jerzy Surma
Publisher: Business Expert Press
Total Pages: 161
Release: 2011-03-06
Genre: Business & Economics
ISBN: 1606491865

This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.

Business Intelligence Guidebook

Business Intelligence Guidebook
Author: Rick Sherman
Publisher: Newnes
Total Pages: 551
Release: 2014-11-04
Genre: Computers
ISBN: 0124115284

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. Business Intelligence Guidebook: From Data Integration to Analytics 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. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.