Web Analytics: An Hour a Day
by Avinash Kaushik
from Sybex
Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line.
Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Competing on Analytics: The New Science of Winning
by Thomas H. Davenport
from Harvard Business School Press
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.
In Competing on Analytics: The New Science of Winning , Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.
Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
High Performance MySQL: Optimization, Backups, Replication, and More
by Baron Schwartz
from O'Reilly Media, Inc.
High Performance MySQL is the definitive guide to building fast, reliable systems with MySQL. Written by noted experts with years of real-world experience building very large systems, this book covers every aspect of MySQL performance in detail, and focuses on robustness, security, and data integrity.
High Performance MySQL teaches you advanced techniques in depth so you can bring out MySQL's full power. Learn how to design schemas, indexes, queries and advanced MySQL features for maximum performance, and get detailed guidance for tuning your MySQL server, operating system, and hardware to their fullest potential. You'll also learn practical, safe, high-performance ways to scale your applications with replication, load balancing, high availability, and failover.
This second edition is completely revised and greatly expanded, with deeper coverage in all areas. Major additions include:
- Emphasis throughout on both performance and reliability
- Thorough coverage of storage engines, including in-depth tuning and optimizations for the InnoDB storage engine
- Effects of new features in MySQL 5.0 and 5.1, including stored procedures, partitioned databases, triggers, and views
- A detailed discussion on how to build very large, highly scalable systems with MySQL
- New options for backups and replication
- Optimization of advanced querying features, such as full-text searches
- Four new appendices
Advanced Web Metrics with Google Analytics
by Brian Clifton
from Sybex
Let Web metrics expert Brian Clifton help you maximize your website's potential. In this book you'll discover the information you need to get a true picture of your site's impact and stay competitive using Google Analytics. Featuring implementation techniques not documented elsewhere, this informative guide teaches you how to turn data into actionable information and optimize the user experience of your website for better conversions. You'll learn to:
- Measure your web traffic, its sources and visitor engagements and understand its impact on ROI
- Configure your data collection parameters to track all online marketing channels, Flash events, banners, and more
- Follow best practices for tracking offline activities and learn how to extract, analyze, and integrate the collected data
- Optimize checkout systems, pay-per-click campaigns (including AdWords), SEO, and email marketing efforts
- Discover the benefits of ad version testing and the insight multivariate testing can bring
With a better understanding of your website visitors, you will be able to tailor page content and marketing budgets with laserlike precision for a better return on investment, and ultimately, a better bottom line.
FileMaker Pro 9: The Missing Manual
by Geoff Coffey
from O'Reilly Media
FileMaker Pro 9: The Missing Manual is the clear, thorough and accessible guide to the latest version of this popular desktop database program. FileMaker Pro lets you do almost anything with the information you give it. You can print corporate reports, plan your retirement, or run a small country -- if you know what you're doing. This book helps non-technical folks like you get in, get your database built, and get the results you need. Pronto.
The new edition gives novices and experienced users the scoop on versions 8.5 and 9. It offers complete coverage of timesaving new features such as the Quick Start screen that lets you open or a create a database in a snap, the handy "save to" buttons for making Excel documents or PDFs, the multiple level Undo and Redo commands let you step backwards through your typing tasks, and much more. With FileMaker Pro 9: The Missing Manual, you can:
- Get your first database running in minutes and perform basic tasks right away.
- Catalog people, processes and things with streamlined data entry and sorting tools.
- Learn to use layout tools to organize the appearance of your database.
- Use your data to generate reports, correspondence and other documents with ease.
- Create, connect, and manage multiple tables and set up complex relationships that show you just the data you need.
- Crunch numbers, search text, or pin down dates and times with dozens of built-in formulas.
- Automate repetitive tasks with FileMaker Pro 9's easy-to-learn scripting language.
- Protect your database with passwords and set up privileges to determine what others can do once they gain entry.
- Outfit your database for the Web and import and export data to other formats.
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
by Ian H. Witten
from Morgan Kaufmann
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.
The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.
* Algorithmic methods at the heart of successful data miningincluding tried and true techniques as well as leading edge methods
* Performance improvement techniques that work by transforming the input or output
* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualizationin a new, interactive interface
Like the popular first edition, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining-including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource. Complementing the authors' instruction, including a fully-revised Chapter 8 and 30 new technique sections, is a fully functional platform-independent Java software s
The Elements of Statistical Learning
by T. Hastie
from Springer
During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book descibes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learing (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting--the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.
SPSS For Dummies (For Dummies (Computer/Tech))
by Arthur Griffith
from For Dummies
- SPSS (Statistical Package for the Social Sciences) is a data management and analysis software that allows users to generate solid, decision-making results by performing statistical analysis
- This book provides just the information needed: installing the software, entering data, setting up calculations, and analyzing data
- Covers computing cross tabulation, frequencies, descriptive ratios, means, bivariate and partial correlations, linear regression, and much more
- Explains how to output information into striking charts and graphs
- For ambitious users, also covers how to program SPSS to take their statistical analysis to the next level
Google Analytics 2.0
by Jerri L. Ledford
from Wiley
Site statistics give you raw numbers, but Web analytics crunch those numbers into meaningful metrics you can actually use. Here’s what's new in Google Analytics 2.0, such as cross-segment reporting and drilldown content that enhance analysis. Learn to set up Analytics and choose filters, explore goals and goal-setting, use customizable dashboards and date ranges, and master basic analytics and Web statistics concepts. Examine every aspect of available reports, learn to use those best suited for e-commerce sites, and more.
BONUS: Each copy of Google Analytics 2.0 includes a $25 Google AdWords gift card compliments of Google. With this $25 gift card , you can attract new customers to your website on Google's dime.
Oracle Essentials: Oracle Database 11g (Essentials)
by Rick Greenwald
from O'Reilly Media, Inc.
Oracle is an enormous system, with myriad technologies, options, and releases. Most users-even experienced developers and database administrators-find it difficult to get a handle on the full scope of the Oracle database. And, as each new Oracle version is released, users find themselves under increasing pressure to learn about a whole range of new technologies. The latest challenge is Oracle Database 11g.
This book distills an enormous amount of information about Oracle into a compact, easy-to-read volume filled with focused text, illustrations, and helpful hints. It contains chapters on:
- Oracle products, options, data structures, and overall architecture for Oracle Database 11g, as well as earlier releases (Oracle Database 10g, Oracle9i, and Oracle8i)
- Installing, running, managing, monitoring, networking, and tuning Oracle, including Enterprise Manager (EM) and Oracle's self-tuning and management capabilities; and using Oracle security, auditing, and compliance (a new chapter in this edition)
- Multiuser concurrency, data warehouses, distributed databases, online transaction processing (OLTP), high availability, and hardware architectures (e.g., SMP, clusters, NUMA, and grid computing)
- Features beyond the Oracle database: Oracle Application Express, Fusion Middleware (including Oracle Application Server), and database SOA support as a Web services provider
For new Oracle users, DBAs, developers, and managers, Oracle Essentials provides an invaluable, all-in-one introduction to the full range of Oracle features and technologies, including the just-released Oracle Database 11g features. But even if you already have a library full of Oracle documentation, you'll find that this compact book is the one you turn to, again and again, as your one-stop, truly essential reference.
"Oracle Essentials gives a clear explanation of the key database concepts and architecture underlying the Oracle database. It's a great reference for anyone doing development or management of Oracle databases."
--Andrew Mendelsohn, Senior Vice President, Database Server Technologies, Oracle Corporation
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