Business Intelligence

The Savvy Manager's Guide

Author: David Loshin

Publisher: Newnes

ISBN: 0123858895

Category: Computers

Page: 370

View: 1767

Following the footsteps of the first edition, the second edition of Business Intelligence is a full overview of what comprises business intelligence. It is intended to provide an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program. Over a relatively long lifetime (7 years), the current edition of book has received numerous accolades from across the industry for its straightforward introduction to both business and technical aspects of business intelligence. As an author, David Loshin has a distinct ability to translate challenging topics into a framework that is easily digestible by managers, business analysts, and technologists alike. In addition, his material has developed a following (such as the recent Master Data Management book) among practitioners and key figures in the industry (both analysts and vendors) and that magnifies our ability to convey the value of this book. Guides managers through developing, administering, or simply understanding business intelligence technology Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge Contains a handy, quick-reference to technologies and terminology.

Business Intelligence

The Savvy Manager's Guide

Author: David Loshin

Publisher: Elsevier

ISBN: 9780080500546

Category: Computers

Page: 270

View: 2353

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. 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. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series. * Provides clear explanations without technical jargon, followed by in-depth descriptions. * Articulates the business value of new technology, while providing relevant introductory technical background. * Contains a handy quick-reference to technologies and terminologies. * Guides managers through developing, administering, or simply understanding business intelligence technology. * Bridges the business-technical gap. * Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.

Web Services, Service-Oriented Architectures, and Cloud Computing

Author: Douglas K. Barry

Publisher: Elsevier

ISBN: 9780080520940

Category: Computers

Page: 245

View: 6208

Web services are leading to the use of more packaged software either as an internal service or an external service available over the Internet. These services, which will be connected together to create the information technology systems of the future, will require less custom software in our organizations and more creativity in the connections between the services. This book begins with a high-level example of how an average person in an organization might interact with a service-oriented architecture. As the book progresses, more technical detail is added in a "peeling of the onion" approach. The leadership opportunities within these developing service-oriented architectures are also explained. At the end of the book there is a compendium or "pocket library" for software technology related to service-oriented architectures. · Only web services book to cover both data management and software engineering perspectives, excellent resource for ALL members of IT teams · Jargon free, highly illustrated, with introduction that anyone can read that then leads into increasing technical detail · Provides a set of leadership principles and suggested application for using this technology.

The Practitioner's Guide to Data Quality Improvement

Author: David Loshin

Publisher: Elsevier

ISBN: 9780080920344

Category: Computers

Page: 432

View: 5031

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

Maintaining & Evolving Successful Commercial Web Sites

Managing Change, Content, Customer Relationships, and Site Measurement

Author: Ashley Friedlein

Publisher: Morgan Kaufmann

ISBN: 9781558608306

Category: Computers

Page: 418

View: 3756

A reference for Web professionals developing new sites. This work addresses the realities of successful sites, namely the notion that maintaining and evolving a site is actually a bigger commitment than launching it. It focuses more on process, reality, and pragmatism and less on strategic theory.

Master Data Management

Author: David Loshin

Publisher: Morgan Kaufmann

ISBN: 9780123742254

Category: Business & Economics

Page: 274

View: 6102

Master data and master data management -- Coordination, stakeholders, requirements, and planning -- Components and the maturity model -- Data governance for master data management -- Data quality and MDM -- Metadata management for MDM -- Identifying master metadata and master data -- Data modeling for MDM -- Paradigms and architectures -- Data consolidation and integration -- Master data synchronization -- And the functional services layer -- Management guidance for MDM.

Data Preparation for Data Mining

Author: Dorian Pyle

Publisher: Morgan Kaufmann

ISBN: 9781558605299

Category: Computers

Page: 540

View: 6662

A guide to the importance of well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance, and provides examples of how to apply a variety of techniques in order to solve real world business problems.

Mobile & Social Game Design

Monetization Methods and Mechanics, Second Edition

Author: Tim Fields

Publisher: CRC Press

ISBN: 1466598689

Category: Computers

Page: 236

View: 9262

Successfully Navigate the Evolving World of Mobile and Social Game Design and Monetization Completely updated, Mobile & Social Game Design: Monetization Methods and Mechanics, Second Edition explains how to use the interconnectedness of social networks to make "stickier," more compelling games on all types of devices. Through the book’s many design and marketing techniques, strategies, and examples, you will acquire a better understanding of the design and monetization mechanics of mobile and social games as well as working knowledge of industry practices and terminology. Learn How to Attract—and Retain—Gamers and Make Money The book explores how the gaming sector has changed, including the evolution of free-to-play games on mobile and tablet devices, sophisticated subscription model-based products, and games for social media websites, such as Facebook. It also demystifies the alphabet soup of industry terms that have sprouted up around mobile and social game design and monetization. A major focus of the book is on popular mechanisms for acquiring users and methods of monetizing users. The author explains how to put the right kinds of hooks in your games, gather the appropriate metrics, and evaluate that information to increase the game’s overall stickiness and revenue per user. He also discusses the sale of virtual goods and the types of currency used in games, including single and dual currency models. Each chapter includes an interview with industry leaders who share their insight on designing and producing games, analyzing metrics, and much more.

Game Analytics

Maximizing the Value of Player Data

Author: Magy Seif El-Nasr,Anders Drachen,Alessandro Canossa

Publisher: Springer

ISBN: 9781447172246

Category: Computers

Page: 800

View: 1838

Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels. Game Analytics - Maximizing the Value of Player Data is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. Written by over 50 international experts from industry and research, it covers a comprehensive range of topics across more than 30 chapters, providing an in-depth discussion of game analytics and its practical applications. Topics covered include monetization strategies, design of telemetry systems, analytics for iterative production, game data mining and big data in game development, spatial analytics, visualization and reporting of analysis, player behavior analysis, quantitative user testing and game user research. This state-of-the-art volume is an essential source of reference for game developers and researchers. Key takeaways include: Thorough introduction to game analytics; covering analytics applied to data on players, processes and performance throughout the game lifecycle. In-depth coverage and advice on setting up analytics systems and developing good practices for integrating analytics in game-development and -management. Contributions by leading researchers and experienced professionals from the industry, including Ubisoft, Sony, EA, Bioware, Square Enix, THQ, Volition, and PlayableGames. Interviews with experienced industry professionals on how they use analytics to create hit games.

Mining the Social Web

Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

Author: Matthew A. Russell,Matthew Russell

Publisher: "O'Reilly Media, Inc."

ISBN: 1449388345

Category: Computers

Page: 332

View: 3819

Provides information on data analysis from a vareity of social networking sites, including Facebook, Twitter, and LinkedIn.

Freemium Economics

Leveraging Analytics and User Segmentation to Drive Revenue

Author: Eric Benjamin Seufert

Publisher: Elsevier

ISBN: 0124166989

Category: Business & Economics

Page: 254

View: 2831

Freemium Economics presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest stages of development. Your freemium product generates vast volumes of data, but using that data to maximize conversion, boost retention, and deliver revenue can be challenging if you don't fully understand the impact that small changes can have on revenue. In this book, author Eric Seufert provides clear guidelines for using data and analytics through all stages of development to optimize your implementation of the freemium model. Freemium Economics de-mystifies the freemium model through an exploration of its core, data-oriented tenets, so that you can apply it methodically rather than hoping that conversion and revenue will naturally follow product launch. By reading Freemium Economics, you will: Learn how to apply data science and big data principles in freemium product design and development to maximize conversion, boost retention, and deliver revenue Gain a broad introduction to the conceptual economic pillars of freemium and a complete understanding of the unique approaches needed to acquire users and convert them from free to paying customers Get practical tips and analytical guidance to successfully implement the freemium model Understand the metrics and infrastructure required to measure the success of a freemium product and improve it post-launch Includes a detailed explanation of the lifetime customer value (LCV) calculation and step-by-step instructions for implementing key performance indicators in a simple, universally-accessible tool like Excel

The Designer's Guide to VHDL

Author: Peter J. Ashenden

Publisher: Morgan Kaufmann

ISBN: 9780080568850

Category: Computers

Page: 936

View: 5684

VHDL, the IEEE standard hardware description language for describing digital electronic systems, has recently been revised. The Designer's Guide to VHDL has become a standard in the industry for learning the features of VHDL and using it to verify hardware designs. This third edition is the first comprehensive book on the market to address the new features of VHDL-2008. First comprehensive book on VHDL to incorporate all new features of VHDL-2008, the latest release of the VHDL standard Helps readers get up to speed quickly with new features of the new standard Presents a structured guide to the modeling facilities offered by VHDL Shows how VHDL functions to help design digital systems Includes extensive case studies and source code used to develop testbenches and case study examples Helps readers gain maximum facility with VHDL for design of digital systems

Data Governance

How to Design, Deploy, and Sustain an Effective Data Governance Program

Author: John Ladley

Publisher: Newnes

ISBN: 0124158293

Category: Business & Economics

Page: 236

View: 9783

This book is for any manager or team leader that has the green light to implement a data governance program 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.


A Developer's Guide

Author: Clif Flynt

Publisher: Elsevier

ISBN: 0123847176

Category: Computers

Page: 792

View: 4807

Machine generated contents note: Chapter 1: Tcl/Tk Features Chapter 2: The Mechanics of Using the Tcl and Tk Interpreters Chapter 3: Introduction to the Tcl Language Chapter 4: File System, Disk I/O and Sockets Chapter 5: Using Strings and Lists Chapter 6: Basic list, array and dict Chapter 7: Advanced List, array and dict Chapter 8: Procedure Techniques Chapter 9: Namespaces Chapter 10: Basic TclOO Chapter 11: Advanced TclOO Chapter 12: Packages and modules Chapter 13: Introduction to Tk Graphics Chapter 14: Overview of the canvas Widget Chapter 15: The text widget and htmllib Chapter 16: Themed Widgets Chapter 17: Tk Megawidgets Chapter 18: Writing a Tcl Extension Chapter 19: Extensions and Packages Chapter 20: Programming Tools Chapter 21: Debugging and Optimization techniques Chapter 22: Tips and Techniques .

IT Manager's Handbook

Getting Your New Job Done

Author: Bill Holtsnider,Brian D. Jaffe

Publisher: Elsevier

ISBN: 0124159494

Category: Business & Economics

Page: 341

View: 4621

"This book provides a practical reference that you will return to again and again in an ever-changing corporate environment where the demands on IT continue to increase. Make your first 100 days really count with the fundamental principles and core concepts critical to your success as a new IT Manager outlined in this valuable resource. The book also discusses how to work with your customers, manage your budget, develop an overall IT strategy and demonstrate the value of IT to the company"--

Adaptive Business Intelligence

Author: Zbigniew Michalewicz,Martin Schmidt,Matthew Michalewicz,Constantin Chiriac

Publisher: Springer Science & Business Media

ISBN: 3540329293

Category: Computers

Page: 246

View: 4127

Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.

Business Intelligence in the Digital Economy

Opportunities, Limitations and Risks

Author: Mahesh S. Raisinghani

Publisher: IGI Global

ISBN: 9781591402060

Category: Business & Economics

Page: 289

View: 3759

Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks.

Semantic Web for the Working Ontologist

Effective Modeling in RDFS and OWL

Author: Dean Allemang,James Hendler

Publisher: Elsevier

ISBN: 9780123859662

Category: Computers

Page: 384

View: 8340

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). Organized into 16 chapters, the book provides examples to illustrate the use of Semantic Web technologies in solving common modeling problems. It uses the life and works of William Shakespeare to demonstrate some of the most basic capabilities of the Semantic Web. The book first provides an overview of the Semantic Web and aspects of the Web. It then discusses semantic modeling and how it can support the development from chaotic information gathering to one characterized by information sharing, cooperation, and collaboration. It also explains the use of RDF to implement the Semantic Web by allowing information to be distributed over the Web, along with the use of SPARQL to access RDF data. Moreover, the reader is introduced to components that make up a Semantic Web deployment and how they fit together, the concept of inferencing in the Semantic Web, and how RDFS differs from other schema languages. Finally, the book considers the use of SKOS (Simple Knowledge Organization System) to manage vocabularies by taking advantage of the inferencing structure of RDFS-Plus. This book is intended for the working ontologist who is trying to create a domain model on the Semantic Web. Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems

Quantitative Methods for Business

Author: C. Donald J. Waters,Donald Waters

Publisher: Financial Times/Prentice Hall

ISBN: 9780273739470

Category: Business & Economics

Page: 603

View: 1718

Taking a non-threatening, non-theoretical approach to a subject students often find difficult, this book avoids rigorous mathematics and concentrates on applying quantitative ideas to the work situation.

Distributed and Cloud Computing

From Parallel Processing to the Internet of Things

Author: Kai Hwang,Jack Dongarra,Geoffrey C. Fox

Publisher: Morgan Kaufmann

ISBN: 0128002042

Category: Computers

Page: 672

View: 9148

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online