Books

Books:


The Big Data Opportunity

in Our Driverless Future

Evangelos Simoudis

2017AISN: B01NH08HQA

From Detroit to Germany, Japan, and Korea, within the incumbent automotive industry there is amplifying conversation about the magnitude, extent, and timing of the disruption that will result from the introduction of driverless vehicles. This disruption will in turn result from changing attitudes toward car ownership and innovations in technology and business models. The combination of electrified, driverless connected vehicles and a variety of Mobility Services will give rise to a hybrid model that blends car ownership with on-demand car access. Big data generated inside and outside such vehicles and exploited by machine intelligence technologies are key ingredients in this disruption and offer unique opportunities to incumbents and newcomers as we proceed toward a driverless future. The book presents a strategy for capitalizing on these opportunities by combining corporate innovation efforts with startup innovations.

Integrating Hadoop

William McKnight

2016AISN: B01LY0XBAY

Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data and do it in such a way that the solution i) complies with (and even extends) enterprise standards, ii) integrates seamlessly with the existing information infrastructure, and iii) fills a critical role within enterprise architecture.

A Business Intelligence Architecture

for Small and Mid-Size Enterprise:

An Executive Guide

Jim Raper

2016ISBN: 9781540320605

In todays’ Small to Midsize Enterprises (SME’s), few dispute the value of being able to seamlessly integrate disparate data into a single stream of truth from which decision makers are presented a cohesive, continuously updated, picture of performance well within their decision cycle times. However, cost and political will often trump getting state of the art BI projects off the wish list and into production. While most understand the value of timely, believable, actionable information, actual acquisition and mining facts for the organization’s benefit requires tools and especially training in methodologies to capture, store, and successfully exploit the data. Building a comprehensive BI environment is generally considered to be prohibitively expensive for the SME. It need not be so. By providing a path that makes use of the cutting edge findings of recognized thought leaders in the BI and data warehouse arenas, organizations can construct an easily implementable Extended BI Data Warehouse environment in an affordable, incremental manner.

Customer Analytics

Curto Diaz

2014ISBN: 9788490649107

Las organizaciones han usado estrategias, como la inteligencia de negocio, para tomar mejores decisiones a partir de los datos. Actualmente, en la era de los datos, nuestros clientes son más inteligentes, están más informados y ya no son tan leales con nuestra marca. Esperan experiencias inolvidables y profundamente personalizadas en cada una de las interacciones con nuestra organización. Como resultado, las organizaciones están obligadas a transformar sus estrategias para conocer mejor las necesidades y preferencias de sus clientes, basándose en una enorme cantidad de datos.

Predictive Business Analytics:

Forward Looking Capabilities

to Improve Business Performance

Cokins

2014ISBN: 1118175565

Discover the breakthrough tool your company can use to make winning decisions.

This forward-thinking book addresses the emergence of predictive business analytics, how it can help redefine the way your organization operates, and many of the misconceptions that impede the adoption of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting.

  • Examines how predictive business analytics can help your organization understand its various drivers of performance, their relationship to future outcomes, and improve managerial decision-making
  • Looks at how to develop new insights and understand business performance based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling
  • Written for senior financial professionals, as well as general and divisional senior management

Visionary and effective, Predictive Business Analytics reveals how you can use your business’s skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions.

Business unIntelligence:

Insight and Innovation beyond

Analytics and Big Data

Devlin

2013ISBN: 1935504568

Business intelligence (BI) used to be so simple – in theory anyway. Integrate and copy data from your transactional systems into a specialized relational database, apply BI reporting and query tools and add business users. Job done.

No longer. Analytics, big data and an array of diverse technologies have changed everything. More importantly, business is insisting on ever more value, ever faster from information and from IT in general. An emerging biz-tech ecosystem demands that business and IT work together.

Business unIntelligence reflects the new reality that in today’s socially complex and rapidly changing world, business decisions must be based on a combination of rational and intuitive thinking. Integrating cues from diverse information sources and tacit knowledge, decision makers create unique meaning to innovate heuristically at the speed of thought. This book provides a wealth of new models that business and IT can use together to design support systems for tomorrow’s successful organizations.

Dr. Barry Devlin, one of the earliest proponents of data warehousing, goes back to basics to explore how the modern trinity of information, process and people must be reinvented and restructured to deliver the value, insight and innovation required by modern businesses. From here, he develops a series of novel architectural models that provide a new foundation for holistic information use across the entire business. From discovery to analysis and from decision making to action taking, he defines a fully integrated, closed-loop business environment. Covering every aspect of business analytics, big data, collaborative working and more, this book takes over where BI ends to deliver the definitive framework for information use in the coming years.

Successful Business Intelligence:

Unlock the Value of BI & Big Data

Howson

2013ISBN: 007180918X

Expanded to cover the latest advances in business intelligence such as big data, cloud, mobile, visual data discovery, and in-memory computing, this fully updated bestseller by BI guru Cindi Howson provides cutting-edge techniques to exploit BI for maximum value. Successful Business Intelligence: Unlock the Value of BI & Big Data, Second Edition describes best practices for an effective BI strategy. Find out how to:

  • Garner executive support to foster an analytic culture
  • Align the BI strategy with business goals
  • Develop an analytic ecosystem to exploit data warehousing, analytic appliances, and Hadoop for the right BI workload
  • Continuously improve the quality, breadth, and timeliness of data
  • Find the relevance of BI for everyone in the company
  • Use agile development processes to deliver BI capabilities and improvements at the pace of business change
  • Select the right BI tools to meet user and business needs
  • Measure success in multiple ways
  • Embrace innovation, promote successes and applications, and invest in training
  • Monitor your evolution and maturity across various factors for impact

Exclusive industry survey data and real-world case studies from Medtronic, Macy’s, 1-800 CONTACTS, The Dow Chemical Company, Netflix, Constant Contact, and other companies show successful BI initiatives in action.

From Moneyball to Nate Silver, BI and big data have permeated our cultural, political, and economic landscape. This timely, up-to-date guide reveals how to plan and deploy an agile, state-of-the-art BI solution that links insight to action and delivers a sustained competitive advantage.

Data Warehousing in the Age of Big Data

Krishnan

2013ISBN: 0124058914

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.

As Big Data continues to revolutionize how we use data, it doesn’t have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.

Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

  • Learn how to leverage Big Data by effectively integrating it into your data warehouse.
  • Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies.
  • Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Information Management:

Strategies for Gaining

a Competitive Advantage

with Data

McKnight

2013ISBN: 0124080561

Information Management: Gaining a Competitive Advantage with Data is about making smart decisions to make the most of company information. Expert author William McKnight develops the value proposition for information in the enterprise and succinctly outlines the numerous forms of data storage. Information Management will enlighten you, challenge your preconceived notions, and help activate information in the enterprise. Get the big picture on managing data so that your team can make smart decisions by understanding how everything from workload allocation to data stores fits together.

The practical, hands-on guidance in this book includes:

  • Part 1: The importance of information management and analytics to business, and how data warehouses are used
  • Part 2: The technologies and data that advance an organization, and extend data warehouses and related functionality
  • Part 3: Big Data and NoSQL, and how technologies like Hadoop enable management of new forms of data
  • Part 4: Pulls it all together, while addressing topics of agile development, modern business intelligence, and organizational change management

Read the book cover-to-cover, or keep it within reach for a quick and useful resource. Either way, this book will enable you to master all of the possibilities for data or the broadest view across the enterprise.

  • Balances business and technology, with non-product-specific technical detail
  • Shows how to leverage data to deliver ROI for a business
  • Engaging and approachable, with practical advice on the pros and cons of each domain, so that you learn how information fits together into a complete architecture
  • Provides a path for the data warehouse professional into the new normal of heterogeneity, including NoSQL solutions

Microsoft Tabular Modeling Cookbook

te Braak

2013ISBN: 178217088X

Business Intelligence Semantic Models (BISM) is a technology that is designed to deliver analytical information to users through a variety of mechanisms that include model structure, definition, and design. This book demonstrates how to create BISM models so that information can be presented to users in an intuitive and easy-to-use format. Once the model is defined, we also show you how it can be managed and maintained so that the data in it remains current and secure.

Microsoft Tabular Modeling Cookbook is an all-encompassing guide to developing, managing, creating, and using analytical models using the Business Intelligence Semantic Model (BISM). This title covers a range of modeling situations and common data analysis related problems to show you the techniques required to turn data into information using tabular modeling.

Microsoft Tabular Modeling Cookbook examines three areas of tabular modeling: model development, model management and maintenance, and reporting. This book is a practical guide on how to develop semantic models and turn business data into information. It covers all phases of the model lifecycle from creation to administration and finally reporting. It also shows you how to create models which are designed to analyze data.

All sections of BISM modeling from development to management and finally reporting are covered. The sections on development examine a wide range of techniques and tricks required to build models, including moving data into the model, structuring the model to manipulate the data, and finally the formulas required to answer common business questions; all of these are discussed in this book in detail.

Finally, the book examines methods of reporting on the data within the model, including the creation of data-driven workbooks and reports for a powerful end user experience.

Implementing Business Intelligence

in Your Healthcare Organization

Brooks, et al

2012ISBN: 0984457755

Implementing Business Intelligence in Your Healthcare Organization offers an inside look at how healthcare organizations of all sizes can use business intelligence to consistently monitor and improve upon patient outcomes, workload and costs. Implementing business intelligence is a strategic activity that channels the outcomes of performance throughout the healthcare organization and its stakeholders. Additionally, business intelligence provides a visual, high-level view of historical trends, current operations and predictive analysis. Through insightful chapters written by industry experts and numerous, real-world case studies, this book demonstrates myriad practical and proven steps to developing a business intelligence solution, including pre- and post-implementation issues. This book is packed with information that will help you and your organization raise awareness of hidden business intelligence, generate improved analytical data and spread the access to this new information across the continuum of care.

Eisenhower’s Leadership:

Executive Lessons from

West Point to the White House

Clark

2012ISBN: 0615686109

The Supreme Commander of World War II and leader
 of the free world as the American president for much of the 1950s, Dwight D. Eisenhower was one of the twentieth century’s most admired and effective leaders. From his early career in U.S. Army to commanding critical World War II battles and the demands of the Oval Office, this book draws lessons from Eisenhower’s life to give the reader specific actions that can enhance their own leadership. While there are many books about Eisenhower, this book is unique in presenting leadership insights from his military and political careers, rather than just one or the other. Another difference is that some of the material presented has just recently become available, such as Eisenhower’s role in promoting the development of spy satellites and new perspectives into his role in promoting civil rights. The book begins by describing the foundations of his character etched in his childhood and follows him to his college days at West Point. It narrates the pivotal points of his early military career and maps out the profound influence his commanding officers had
 on developing his nascent leadership abilities. He climbed through the ranks of the military culminating in the fateful responsibility placed on his shoulders in the days after Japan attacked Pearl Harbor. As president, Eisenhower would end the Korean War, balance the federal budget three times, preside over the federal interstate system we use to this day, and sponsor an early civil rights bill. His entire life is a case study in how to be a successful leader, in business, politics or any endeavor.

Secrets of Analytical Leaders:

Insights from Information Insiders

Eckerson

2012ISBN: 1935504347

Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets of success. With an innovative flair, Eckerson tackles a complex subject with clarity and insight. Each of the book’s 20 chapters is a stand-alone essay on an analytical topic, yet collectively they form a concise methodology about how to implement a successful analytics program.

A Check List for Doing

Data Model Design Reviews

Graziano

2012ISBN: B008RG9L5E

Tired of crappy data models and whiney data modelers? Need to deliver a high quality design in a short period of time? Need a better way to enforce standards? As part of trying to be more “agile” in my approach to developing databases, I have adopted concept from the agile world: peer reviews. Before any data model moves from analysis (logical model) into development (physical model), the development team needs to gather to review what the modeler has done. If the model passes the review (almost never on the first round), the physical model is constructed. The physical model is then subjected to a rigorous review as well (including metadata). Only then can DDL be produced and deployed. This guide book will discuss the actual modeling and design process I follow and give you a check list of questions to ask in any model review session. This is a “take no prisoners” approach that has left many a would-be data modeler in a withering heap, but in the end you will have solid models and designs that deliver value.

If you like this book please tell your friends and leave me a review here on Amazon. Thanks!

Successful Business Intelligence:

Unlock the Value of BI & Big Data

Howson

2012ISBN: 0071773126

The definitive reference for building actionable business intelligence—completely revised for SAP BusinessObjects BI 4.0.

Unleash the full potential of business intelligence with fact-based decisions, aligned to business goals, using reports and dashboards that lead from insight to action. SAP BusinessObjects BI 4.0: The Complete Reference offers completely updated coverage of the latest BI platform.

Find out how to work with the new Information Design Tool to create universes that access multiple data sources and SAP BW. See how to translate complex business questions into highly efficient Web Intelligence queries and publish your results to the BI Launchpad. Learn how to create dashboards from data sourced through a universe or spreadsheet. The most important concepts for universe designers, report and dashboard authors, and business analysts are fully explained and illustrated by screenshots, diagrams, and step-by-step instructions.

  • Establish and evolve BI goals
  • Maximize your BI investments by offering the right module to the right user
  • Create robust universes with the Information Design Tool, leveraging multiple data sources, derived tables, aggregate awareness, and parameters
  • Develop a security plan that is scalable and flexible Design
  • Web Intelligence reports from basic to advanced
  • Create sophisticated calculations and advanced formatting to highlight critical business trends
  • Build powerful dashboards to embed in PowerPoint or the BI Launchpad
  • Use Explorer to visually navigate large data sets and uncover patterns

Agile Data Warehousing

Project Management:

Business Intelligence Systems

Using Scrum

Hughes

2012ISBN: 0123964636

You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing” might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious “data mart.” Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse.

  • Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track
  • Includes strategies for getting accurate and actionable requirements from a team’s business partner
  • Revolutionary estimating techniques that make forecasting labor far more understandable and accurate
  • Demonstrates a blends of Agile methods to simplify team management and synchronize inputs across IT specialties
  • Enables you and your teams to start simple and progress steadily to world-class performance levels

Modeling the Agile Data Warehouse

with Data Vault

Hultgren

2012ISBN: 061572308X

Modeling the Agile Data Warehouse with Data Vault is a book authored by Hans Hultgren. This is a complete book on data vault modeling as well as an important book in field of data warehousing and business intelligence. Agility in a data warehouse business intelligence DWBI program requires agile thinking, agile methods, agile development and agile modeling approaches. This book takes these broader factors into account,Introduced in this book are the concepts of Unified Decomposition and Ensemble Modeling

Who should read this book?

Generally anyone working with – or seeking to build – an enterprise data warehouse (EDW). Because understanding the data warehouse program in your organization is key to understanding the modeling paradigm deployed to design them. In the same way, to understand the underlying concepts and requirements behind data vault modeling is to understand the dynamics and the nuances of the modern data warehouse.

Specifically this list includes data warehouse modelers, architects, designers, business analysts, etl developers, and DW program managers. And of course anyone else looking to work with data vault modeling.

Data Governance:

How to Design, Deploy and Sustain

an Effective Data Governance Program

Ladley

2012ISBN: 0124158293

This book is for any manager or team leader that has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. With the provided framework and case studies you will be enabled and educated in launching your very own successful and money saving data governance program.

Data Virtualization

for Business Intelligence Systems:

Revolutionizing Data Integration

for Data Warehouses

van der Lans

2012ISBN: 0123944252

Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data.

Using Open Source Platforms for

Business Intelligence:

Avoid Pitfalls and Maximize ROI

Wise

2012ISBN: 0124158110

Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments.

  • The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite
  • A practical, step-by-step guide to implementing OS BI solutions that maximize ROI
  • Comprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability
  • Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch

Data Modeling Made Simple

with CA ERwin Data Modeler r8

Burbank and Hoberman

2011ISBN: 1935504096

Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with CA ERwin Data Modeler r8. You’ll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler.

Agile Analytics:

A Value-Driven Approach to

Business Intelligence and Data Warehousing

Collier

2011ISBN: 032150481X

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that.

Collier brings together proven solutions you can apply right now—whether you’re an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results—and have fun along the way.

Building the Unstructured Data Warehouse

Inmon, Krishnan

2011ISBN: 1935504045

Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now!

Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyze text.

Master these ten objectives:

  • Build an unstructured data warehouse using the 11-step approach
  • Integrate text and describe it in terms of homogeneity, relevance, medium, volume, and structure
  • Overcome challenges including blather, the Tower of Babel, and lack of natural relationships
  • Avoid the Data Junkyard and combat the Spider’s Web
  • Reuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0,including iterative development
  • Apply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacement
  • Design the Document Inventory system and link unstructured text to structured data
  • Leverage indexes for efficient text analysis and taxonomies for useful external categorization
  • Manage large volumes of data using advanced techniques such as backward pointers
  • Evaluate technology choices suitable for unstructured data processing, such as data warehouse appliances

Super Charge Your Data Warehouse:

Invaluable Data Modeling Rules

to Implement Your Data Vault

Linstedt

2011ISBN: 1463778686

The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world’s largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security.

You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more.

Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it.

Ready to “Super Charge Your Data Warehouse”?

CIO Best Practices:

Enabling Strategic Value

With Information Technology

Cokins

2010ISBN: 0470635401

Anyone working in information technology today feels the opportunities for creating and enabling lasting value. The CIO helps define those opportunities and turn them into realities. Now in a Second Edition, CIO Best Practices is an essential guide offering real-world practices used by CIOs and other IT specialists who have successfully mastered the blend of business and IT responsibilities. Compiled and coauthored by Joe Stenzel, the new edition presents a collection of pioneering and successful senior IT executives—including Jonathan Hujsak, Bill Flemming, Mike Hugos, Karl Schubert, and Gary Cokins—whose insights, drawn from years of practical experience, shed new light on the strategic opportunities?available for leadership structures within the IT organization.

For anyone who wants to achieve better returns on their IT investments, CIO Best Practices, Second Edition presents the leadership skills and competencies required of a CIO addressing comprehensive enterprise strategic frameworks to fully leverage IT resources.

Filled with real-world examples of CIO success stories, the Second Edition explores:

  • CIO leadership responsibilities and opportunities
  • The business impacts of both business and social networking, as well as ways the CIO can leverage the new reality of human connectivity on the Internet
  • The increasingly inextricable relationships between customers, employees, and their use of personal information technologies
  • Emerging cultural expectations and standards outside the workplace
  • Current CRM best practices in terms of the relationship between customer preferences and shareholder wealth
  • Enterprise energy utilization and sustainability practices—otherwise known as Green IT—with all the best practices collected here, in one place
  • Best practices for one of the Internet’s newest and most revolutionary technologies: cloud computing and ways it is shaping the new economics of business

This practical resource provides best practice guidance on the key responsibilities of the CIOs and their indispensable executive leadership role in modern enterprises of all sizes and industries. It is the most definitive and important collection of best practices for achieving and exercising strategic IT leadership for CIOs, those who intend to become CIOs, and those who want to understand the strategic importance of IT for the entire enterprise.

Introducción al Business Intelligence

Curto Diaz

2010ISBN: 8497888863

Business Intelligence (o inteligencia de negocio) es un concepto complejo. No por su definición, que es sencilla de enunciar y comprender, sino principalmente por el hecho que en el mismo confluyen una gran cantidad de tecnologías, metodologías, procesos y estrategia que complican sobremanera la iniciación al neófito. Además, a lo largo del ciclo de vida de estos sistemas de información, se incrementa la complejidad de la arquitectura así como las necesidades de negocio y las tecnologías que las soportan. Sin embargo, la gran mayoría de organizaciones necesitan actualmente de este tipo de sistemas de información para tomar mejores decisiones y ser más competitivas y han identificado al Business Intelligence como una de las principales necesidades. Y es por ello, que es necesario poder construir soluciones sólidas a partir de conocimientos profundamente asentados. Este libro introduce los principales conceptos de la inteligencia de negocio a través de las principales fases de diseño de un proyecto de este tipo y constituir una sólida base de adquisición de conocimientos más profundos. El lector aprenderá sobre los conceptos y el diseño de data warehousing, integración de datos, reporting, OLAP y cuadros de mando.

Performance Dashboards:

Measuring, Monitoring and

Managing Your Business

Eckerson

2010ISBN: 0470589833

In Performance Dashboards, Second Edition, author Wayne Eckerson explains what dashboards are, where they can be used, and why they are important to measuring and managing performance. As Director of Research for The Data Warehousing Institute, a worldwide association of business intelligence professionals, Eckerson interviewed dozens of organizations that have built various types of performance dashboards in different industries and lines of business. Their practical insights explore how you can effectively turbo-charge performance–management initiatives with dashboard technology.

  • Includes all-new case studies, industry research, news chapters on “Architecting Performance Dashboards” and “Launching and Managing the Project” and updated information on designing KPIs, designing dashboard displays, integrating dashboards, and types of dashboards.
  • Provides a solid foundation for understanding performance dashboards, business intelligence, and performance management.
  • Addresses the next generation of performance dashboards, such as Mashboards and Visual Discovery tools, and including new techniques for designing dashboards and developing key performance indicators.
  • Offers guidance on how to incorporate predictive analytics, what-if modeling, collaboration, and advanced visualization techniques.

Making

Enterprise Information Management (EIM)

Work for Business:

A Guide to Understanding

Information as an Asset

Ladley

2010ISBN: 0123756952

Making Enterprise Information Management (EIM) Work for Business: A Guide to Understanding Information as an Asset provides a comprehensive discussion of EIM. It endeavors to explain information asset management and place it into a pragmatic, focused, and relevant light.

The book is organized into two parts. Part 1 provides the material required to sell, understand, and validate the EIM program. It explains concepts such as treating Information, Data, and Content as true assets; information management maturity; and how EIM affects organizations. It also reviews the basic process that builds and maintains an EIM program, including two case studies that provide a birds-eye view of the products of the EIM program. Part 2 deals with the methods and artifacts necessary to maintain EIM and have the business manage information. Along with overviews of Information Asset concepts and the EIM process, it discusses how to initiate an EIM program and the necessary building blocks to manage the changes to managed data and content.

Data Modeling for the Business:

A Handbook for Aligning the Business with IT

using High-Level Data Models

Hoberman, Burbank, and Bradley

2009ISBN: 0977140075

Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. This book contains best practices for implementing a high-level data model, along with some easy-to-use templates and guidelines for a step-by-step approach.

Performance Management:

Integrating Strategy Execution,

Methodologies, Risk, and Analytics

Cokins

2009ISBN: 0470449985

Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics

An organizational transformation has taken place, in which the source for every organization’s return on financial spending is shifting from tangible assets, like equipment, to intangible assets, like information and its people. But transforming an organization is much like having heart surgery while running a marathon without a finish line.

Written by Gary Cokins, one of the most well-known gurus of performance management, Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics is your finish line!

Beginning with a tongue-in-cheek description of how not to pursue a performance management culture, this big-picture book clarifies what performance management really is, what it does, how it enables better decisions and how to make it work. Revealing the relevant aspects of performance management, it discusses why integration of multiple management methodologies and behavioral change management are crucial to overcome managers and employees’ natural resistance to change.

In Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics, you will discover:

  • How to successfully implement and integrate the various methodologies of performance management
  • How methodologies like forecasting demand, measuring performance, measuring segmented profits and costs, and planning for resource levels can themselves be integrated
  • Why analytics of all flavors, and especially predictive analytics, improves decision making
  • The importance of behavioral and change management issues
  • The difference between business intelligence and performance management
  • How to measure and manage customer profitability and future value
  • How governance and social responsibilities for people and the environment can be addressed using the same performance management methodologies used to improve an individual enterprise’s economic performance
  • The role risk management plays in performance management
  • What a future vision of enterprise risk-based performance management may include

Part of the Wiley and SAS Business Series, Performance Management is an invaluable resource providing guidance, wisdom, and support to all industry leaders and managers. A compilation of the author’s media articles and blogs, it is an in-sightful reflection of his gift for demystifying the complicated. Engaging and intuitive, it explores what it will take for you—and every CEO, CFO, vice president, and manager—to successfully implement the full vision of the performance management framework within your organization.

Profiles in Performance:

Business Intelligence Journeys

and the Roadmap for Change

Dresner

2009ISBN: 0470408863

Too many organizations invest in performance management and business intelligence projects, without first establishing the needed conditions to ensure success. But the organizations that lay the groundwork for effective change first reap the benefits.

In Profiles in Performance: Business Intelligence Journeys and the Road Map for Change, Howard Dresner (author of The Performance Management Revolution) worked with several extraordinary organizations to understand their thriving “performance-directed culture.” In doing so, he developed a unique maturity model-which served as both a filter to select candidates and as a lens to examine accomplishments.

  • Interviews with people from all sides of the organization: business users, finance, senior management and the IT department
  • Provides a complete picture of their progress from inception to current state

The models, analyses and real world accounts from these cases will be an invaluable resource to any organization hoping to improve or initiate their own performance-directed culture.

90 Days to Success in Consulting

McKnight

2009ISBN: 1435454421

Interested in entering the consulting business? Already have a consulting practice but want to take its profits to the next level? 90 Days to Success in Consulting provides an action plan for success in the ultra-competitive consulting industry. The book is designed to logically take you through the major consulting topics and provide action items to be done in the next 90 days for immediate business functions, as well as for planning the future phases of your consulting journey. The book covers the various opportunities available, including the traps and pitfalls to avoid, ensuring a successful career as a consultant.

Agile Data Warehousing:

Delivering World-Class

Business Intelligence Systems

Using Scrum and XP

Hughes

2008ISBN: 0595471676

Rarely does a consulting firm gather its expertise on a subject, especially knowledge as valuable as rapid data warehousing, and place it in a book. This volume distills more than ten years of research conducted at Ceregenics, Inc., on creating development teams that can quickly and effectively develop business intelligence applications. Given that building and deploying data warehouses can cost millions, Agile Data Warehousing not only offers practitioners financial savings but also shortens delivery times and improves application quality. The Agile movement has yielded exciting innovations for “maximizing the work not done” in software engineering. Generally, however, the movement offers only high-level approaches geared more for data capture systems than for data management applications.With Agile Data Warehousing, Ceregenics adapts generic Scrum and XP for data warehousing, grooms them into a single, bona fide development method, and demonstrates that the results can pass formal methodological evaluations such as those found in SEI’s Capability Maturity Model.Featured is a six-stage plan for launching Agile warehouse projects that guides data applications professionals step-by-step in becoming a world-class development team. It also describes how to avoid resistance and repair turmoil that introducing a radical method can cause, even for a Fortune 500 company with a skeptical information systems department grounded in traditional project management techniques.

The Vault Unleashed

Jim Raper

2008ISBN: 9780557024285

The Performance Management Revolution:

Business Results Through Insight and Action

Dresner

2007ISBN: 0470124830

The Performance Management Revolution shows you how your business can get prepared for the future—transforming strategies into plans, plans into actions, and actions into results. Written by Howard Dresner, a worldwide authority in the area of business intelligence and performance management, this lucid book offers great insight into strategies that any company interested in improving its business performance and accountability could adopt. This visionary book provides an intelligent framework toward the path to better performance through insight and action.

Smart Enough Systems:

How to Deliver Competitive Advantage

by Automating Hidden Decisions

Taylor, Raden

2007ISBN: 0132347962

The computer-based systems most organizations rely on to support their businesses are not very smart. Many of the business decisions these companies make tend to be hidden in systems that make poor decisions, or don’t make them at all. Further, most systems struggle to keep up with the pace of change.

The answer is not to implement newer, “intelligent” systems. The fact is that much of today’s existing technology has the potential to be “smart enough” to make a big difference to an organization’s business. This book tells you how.

Although the business context and underlying principles are explained in a nontechnical manner, the book also contains how-to guidance for more technical readers.

The book’s companion site, www.smartenoughsystems.com, has additional information and references for practitioners as well as news and updates.

Introduction to SQL:

Mastering the Relational Database Language

van der Lans

2006ISBN: 0321305965

For twenty years, van der Lans’ Introduction to SQL has been the definitive SQL tutorial for database professionals everywhere, regardless of experience or platform. Now van der Lans has systematically updated this classic guide to reflect the latest SQL standards and the newest versions of today’s leading RDBMSs: Oracle, Microsoft SQL Server, DB2, and MySQL.

Using case study examples and hands-on exercises, van der Lans illuminates every key SQL concept, technique, and statement. Drawing on decades of experience as an SQL standards team member and enterprise consultant, he reveals exactly why SQL works as it does–and how to get the most out of it. You’ll gain powerful insight into everything from basic queries to stored procedures, transactions to data security. Whether you’re a programmer or DBA, a student or veteran, this book will take you from “apprentice” to true SQL master.

The Profit Impact of Business Intelligence

Williams, Williams

2006ISBN: 0123724996

Business Intelligence (BI): It’s not just a technology. It’s not just a methodology. It’s a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it.

When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in The Profit Impact of Business Intelligence. Written by BI gurus Steve Williams and Nancy Williams, The Profit Impact of Business Intelligence shows step by step how you can achieve the promise of BI by connecting it to your organization’s strategic goals, culture, and strengths while correcting your BI weaknesses.

Features:

  • Provides a practical, process-oriented guide to achieve the full promise of BI.
  • Shows how world-class companies used BI to become leaders in their industries.
  • Helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments.
  • Identifies the most common mistakes organizations make in implementing BI.
  • Includes a helpful glossary of BI terms.
  • Includes a BI readiness assessment for your organization.
  • Includes Web links and extensive references for more information.

DB2 UDB for z/OS:

Application Design for High

Performance and Availability

Henderyckx

2005ISBN: 0738494216

Conducting business via the Web and remaining open for business 24 hours a day, seven days a week is now commonplace. Customers come in with unexpected workloads through the Web and operate in a self-service fashion with mostly context-sensitive metadata to guide them. The strong requirement is availability. However, even with new Web applications, most of the core business systems considerations still apply, and performance is critical.

Technology has been accelerating for mainframe systems. They had become adept at providing business resiliency accommodating strategic software that has been around for the last several decades such as IMS™ , DB2® , and CICS® , and they have also become a host for developing and running Web applications built in Java™ accommodating the latest business requirements. Businesses need to leverage, extend and integrate the strategic assets which represent multi-year investments to support leading edge technology.
DB2 for z/OS® has come a long way and provides facilities to exploit the latest hardware and software technologies, accommodating a majority of user requirements. However, special considerations are required to build high performance applications. If you want to achieve high performance or high availability, you must use the design, programming, and operational techniques applicable to DB2.

In this IBM Redbooks publication we discuss many of these techniques and provide guidelines for database and application design. We expect the best practices described in this book will help DB2 professionals design high-performance and high-availability applications.

Performance Management:

Finding the Missing Pieces

Cokins

2004ISBN: 0471576905

Performance Management (PM) is the process of managing an organization’s strategy through a fully integrated system of business improvement methodologies supported by technology. PM encompasses the methodologies, metrics, processes, software tools, and systems that manage the performance of an organization. Written by a leading thinker and pioneer in cost and performance management, Performance Management shows corporations how to implement PM tools–or refine the ones they already have–to make better executive and operational decisions that will achieve greater results.

Describing the full vision of PM and how to reap the most benefits from it, Performance Management shows organizations how to use PM tools that have existed for decades or have become recently popular–such as balanced scorecards, Six Sigma, and activity-based management–to collect data, transform and model the data into information, and Web-report it to users. Author Gary Cokins exposes PM as not just an integrated set of improvement methodologies but also as a discipline intended to maintain a view of the larger picture and to understand how an organization works as a whole. PM can be successfully applied to managing any organization, including businesses, hospitals, universities, government agencies, military bodies, and every other entity that has employees and partners with a purpose.

In Performance Management, CEOs, CFOs, vice presidents, and managers discover:

  • How to refine aspects of existing PM systems to work in harmony with newer components and apply “what-if” scenario modeling to them
  • The explicit linkage between strategic, operational, and financial objectives, and how to communicate these linkages to managers and employee teams
  • How to measure the profitability of customers and apply this knowledge to marketing strategies and campaigns
  • How time, service level, cost, quality, and flexibility all interrelate with trade-offs
  • How to align employee behavior to strategic objectives and motivate employees to accept strategy as everyone’s job
  • How to test and validate the goals set by senior management

Performance Management shows senior managers how to use tools already in their grasp to navigate their organizations to the top of their game through better guidance, feedback, and decision-making.

Mastering Data Warehouse Design

Imhoff, Galemmo, Geiger

2003ISBN: 0471324213

A cutting-edge response to Ralph Kimball’s challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing. Written by one of the best-known exponents of the Bill Inmon approach to data warehousing. Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems. Weighs the pros and cons of relational vs. dimensional modeling techniques. Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality

Building the Customer-Centric Enterprise

Imhoff, Loftis, and Geiger

2001AISN: B002IIEYWC

Strategies for leveraging information technologies to improve customer relationships
With E-business comes the opportunity for companies to really get to know their customers–who they are and their buying patterns. Business managers need an integrated strategy that supports customers from the moment they enter the front door–or Web site–right through to fulfillment, support, and promotion of new products and services. Along the way, IT managers need an integrated set of technologies–from Web sites to databases and data mining tools–to make all of this work. This book shows both IT and business managers how to match business strategies to the technologies needed to make them work. Claudia Imhoff helped pioneer this set of technologies, called the Corporate Information Factory (CIF). She and her coauthors take readers step-by-step through the process of using the CIF for creating a customer-focused enterprise in which the end results are increased market share and improved customer satisfaction and retention. They show how the CIF can be used to ensure accuracy, identify customer needs, tailor promotions, and more.

Corporate Information Factory

Inmon, Imhoff, Sousa

2001ISBN: 0471399612

Today’s corporate IT and data warehouse managers are required to make a small army of technologies work together to ensure fast and accurate information for business managers. Bill Inmon created the Corporate Information Factory to solve the needs of these managers. Since the First Edition, the design of the factory has grown and changed dramatically. This Second Edition, revised and expanded by 40% with five new chapters, incorporates these changes. This step-by-step guide will enable readers to connect their legacy systems with the data warehouse and deal with a host of new and changing technologies, including Web access mechanisms, e-commerce systems, ERP (Enterprise Resource Planning) systems. The book also looks closely at exploration and data mining servers for analyzing customer behavior and departmental data marts for finance, sales, and marketing.

e-Business Intelligence:

Leveraging DB2 for Linux on S/390

Anavi-Chaput, Hoarau, Laumay, Lerner, et al

2001ISBN: 0738419605

This IBM Redbooks publication discusses leveraging DB2 for Linux on S/390 for new e-BI opportunities. It shows the possible Linux configurations on S/390 and describes the advantages of consolidating UNIX data mart farms on unique IBM eServers using DB2 for Linux on S/390. The book describes how to set up DB2 for Linux in a Linux LPAR and how to customize the database connections (using DB2 Connect for Linux) to the DB2 for OS/390 data warehouse residing in an OS/390 LPAR on the same machine. It also includes early scalability and performance tests on queries and data population techniques run at the IBM S/390 Teraplex Center in Poughkeepsie, New York.


Data Warehousing for E-Business

Inmon, Terdeman, Norris-Montanari, Meers

2001ISBN: 0471415790

As huge volumes of data, 24/7 performance requirements, and the need to integrate customer information are outstripping the capacity of many existing data warehouses, the question of how to support this explosive growth of e-business is becoming the hottest topic in data warehousing. Building upon Bill Inmon’s proven corporate information factory (CIF) architecture, this team of experts show data warehouse managers and developers how to architect the data warehouse environment to meet the high-performance requirements of data-intensive Web sites as well as the needs of users across the enterprise.

Readers will get detailed guidance on how to build the data warehouse or improve existing capabilities in order to:

  • Capture clickstream data that customers enter at the Webhouse
  • Interface with HTML, XML, and other Web applications
  • Integrate clickstream data with legacy database systems
  • Design the data warehouse for optimum performance and scalability
  • Store and archive high volumes of data at reasonable costs
  • Analyze e-business data to spot new marketing and sales opportunities

Exploration Warehousing

Inmon, Terdeman, Imhoff

2000ISBN: 0471374733

A revolutionary new approach to unearthing business opportunities, from the father of the data warehouse. Let Bill Inmon, the father of the data warehouse, along with Robert Terdeman and Claudia Imhoff, introduce you to exploration warehousing, an innovative new approach to finding business opportunities hidden in patterns of data. In this groundbreaking book, they clearly explain the exploration process and identify the types of data warehouse designs best suited for exploration. They then outline the steps that must be followed in order to turn data into a competitive advantage.

Using numerous case examples, the authors describe original exploration techniques and demonstrate how IT managers can work together with business managers to identify significant value in the data. These patterns can reveal opportunities in the marketplace for new products and services, when to discontinue products and services, where to streamline operations, and much more. To verify the strength and accuracy of these patterns, they show you how to use exploration with data mining techniques to assure business value.

With this book, you’ll gain a better understanding of:

  • The process of exploring data
  • The infrastructure of exploration
  • The roles that analysts play in your organization
  • How to form a basis of data that can be used for analysis
  • How patterns in data can be turned into business opportunity
  • When patterns should not be turned into business opportunity
  • The role of data mining

Oracle Designer:

A Template for Developing

An Enterprise Standards Document

Kramm, Graziano

1999ISBN: 0130153435

Demonstrates how to develop a blueprint for enterprise projects, provides a standards template for Oracle Designer-based projects, and explains how to tailor the template for your projects. Softcover. DLC: Application software–Development–Standards.

Data Stores, Data Warehousing

and the Zachman Framework

Inmon, Zachman, Geiger

1997ISBN: 0070314292

Today’s corporations are increasingly using data warehouses and data stores for the vast amount of data they generate. For data to become a source of knowledge rather than simply a store of digital information, it needs to be managed, organized and analyzed – and database personnel the world over are turning to the Zachment framework to help them to build powerful and effective data warehouses. This work on the subject of data management presents the principles of data warehouse technology, and includes tips on building a simple data warehose with the Zachman framework. It also advises on how to make the corporate shift from managing data to leveraging information.

The Data Model Resource Book:

A Library of Logical Data Models

and Data Warehouse Designs

Silverston, Inmon, Graziano

1997ISBN: 0070314292

Proven data models that save companies’ time and money developing data architectures, databases and data warehouses.

The Data Model Resource Book provides a common set of data models for specific functions common to most businesses, such as sales, marketing, order processing, contracts, shipments, invoicing, work efforts, budgeting, and accounting. Readers can apply more than one data model to their own company to meet specific data needs.

A CD-ROM ,sold separately, contains the SQL for all of the data models contained in the book in Oracle, Sybase, Informix, Microsoft SQL Server and ANSI compatable formats.

Building the Operational Data Store

Inmon, Imhoff, Battas

1996ISBN: 0471128228

The operational data store is a dynamic architectural construct specifically designed for doing high-speed, integrated operational processing. It achieves at the operational level what the data warehouse does at the strategic/managerial level. Now, from a team of experts headed by W. H. Inmon, the “father of the data warehouse,” here is the first comprehensive guide to understanding, building, and using operational data stores. Providing in-depth coverage of all practical and theoretical issues surrounding the operational data store, it tells you:

  • What the operational data store is, how it differs from the data warehouse, where it fits within modern systems architecture.
  • How the operational data store relates to decision support and executive information systems data.
  • Hardware platforms and configurations, related database design techniques, the role of CASE and DBMS technologies, and other crucial technical considerations.
  • How to design and build an operational data store—including step-by-step guidelines, a comprehensive work plan, and numerous illustrative case studies.
  • Techniques for using the operational data store in conjunction with the data warehouse to provide companies with a powerful competitive edge.
  • And much more.

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