The easy way to grasp customer analytics Ensuring your customers are having positive experiences with your company at all levels, including initial brand awareness and loyalty, is crucial to the success of your business. Customer Analytics For Dummies shows you how to measure each stage of the customer journey and use the right analytics to understand customer behavior and make key business decisions. Customer Analytics For Dummies gets you up to speed on what you should be testing. You'll also find current information on how to leverage A/B testing, social media's role in the post-purchasing analytics, usability metrics, prediction and statistics, and much more to effectively manage the customer experience. Written by a highly visible expert in the area of customer analytics, this guide will have you up and running on putting customer analytics into practice at your own business in no time. Shows you what to measure, how to measure, and ways to interpret the data Provides real-world customer analytics examples from companies such as Wikipedia, PayPal, and Walmart Explains how to use customer analytics to make smarter business decisions that generate more loyal customers Offers easy-to-digest information on understanding each stage of the customer journey Whether you're part of a Customer Engagement team or a product, marketing, or design professional looking to get a leg up, Customer Analytics For Dummies has you covered.

Testing the boundaries of what can be tracked & what gets noticed.

Analytics dashboards are the new craze with fancy interactive visuals and an inferno of data. But they often lack the most fundamental, crucial and simple element. They are not actionable. Enjoy a walkthrough some very delightful and beautifully worthless dashboards as well as some ugly efficient wonders of insights - and learn how to tell the difference.

Identifying the most common issues that prevent organisations from using analytics to improve their business performance. Peter will describe these (see how many you recognise) before going through options for overcoming or bypassing these barriers.

One of the main sources of bad data in Google Analytics is incomplete or outright wrong setup of campaign tracking. Inconsistent channels, mislabeled campaigns and faulty attribution often poison the quality of data, making it unreliable or completely wrong.

In all the excitement around Big Data and Analytics, even savvy users of business intelligence can get a bit confused about how and when to use A/B Testing, Predictive Analytics, and Personalization to optimize. But optimizing isn’t about choosing which tool to use: Optimizing is about making decisions. The digital environment gives us an opportunity to make these marketing decisions at scale. In this session we’ll discuss how to bring these tools together to make better decisions, we’ll also touch on how machine learning can help us automate the process to free up analytics teams to focus on the higher value problems.

Demonstrate any Digital Analytics solutions or method of your own that is way beyond the defaults. Who decides who’s gonna win? The audience.

Are you using some event tracking to learn more about your visitors? Good. How about using Enhanced Ecommerce and the Page Visibility API to analyze content engagement? No? Simo will walk you through these advanced use cases, and provide you with a number of tools and resources you can use to think outside the box when using Google Analytics and Google Tag Manager. Inspiration is guaranteed.

This hands on session will walk you through the details of the Enhanced Ecommerce data model, provide guidance for how to implement the tracking, and walk users through how to use the new reports to gain actionable insights to improve ecommerce performance.

Start your warm-up the day before, attend Craig Sullivan's all-day optimisation and analytics session on Monday, 19th January. 1000AM - 0500+PM (with lunch and coffee break). This will be a hands on exploration of your most important problems covering topics like Core Toolkits and Techniques, Analytics, How to Find Stuff, Prioritising issues, Hypothesis generation, Copywriting, Analytics, Split testing and how to gain trust and buy-in for optimisation on any project.

t's been nearly ten years since Google acquired Urchin Software and turned it into Google Analytics, unleashing the era of democratized data. Take a walk down memory lane from those early days through present and learn from the triumphs and trials of tens of thousands of hours working with hundreds of companies and billions of data points. Tips, tricks, techniques and more. The tool has evolved but the objective remains the same: to understand and optimize marketing, user experience and business value.

As an industry your progress this year will be brutally assessed so it's time for your annual forelook. This is an evaluation of what our industry does well, what we need to start doing, start doing better and what we need to stop doing.

How do you stand out when the pressure is there to quickly succeed? Will analytics truly help? In this session you will be taken through the process of creating your online business while effectively and efficiently getting it to the people who care.

We’ve come a long way from counting pageviews and cookies. We can now instrument our sites (or our apps and whatever else) in ever more complex ways, and if we push the limits of the technology we can even try to track people across different devices. But the technological challenges are difficult and the end results still fit into the original model of measurements based around where people came from, what material they viewed and whether they ‘converted’. We focus on technology when we’re trying to understand human behaviour. This presentation is about pulling together all the clues we can get about the experience of the people who make up the ‘traffic’ on our sites. If we can understand what they want to do, why they want to do it and how this is relevant to a journey towards our final conversion, then we can help optimise the process. This is not about people how people get to our sites, this is about why they came and what they do.

Cure for analytics insanity: the definition of insanity is doing the same thing over and over again and expecting different results. That’s what web analytics have been doing for years as data collection becomes easier and quality solutions become less expensive. Instead of focusing on your business strategy and fitting the tool to our needs, we have done the opposite; developing strategies based on what is easy to measure in our tools of choice. This session will teach us how to cure that analytics insanity by taking a strategy first approach to analytics.

The "ElasticSearch Cookbook - Second Edition" is a hands-on guide featuring over 130 advanced recipes to help you harness the power of ElasticSearch, a leading search and analytics engine. Through insightful examples and practical guidance, you'll learn to implement efficient search solutions, optimize queries, and manage ElasticSearch clusters effectively. What this Book will help me do Design and configure ElasticSearch topologies optimized for your specific deployment needs. Develop and utilize custom mappings to optimize your data indexes. Execute advanced queries and filters to refine and retrieve search results effectively. Set up and monitor ElasticSearch clusters for optimal performance. Extend ElasticSearch capabilities through plugin development and integrations using Java and Python. Author(s) Alberto Paro is a technology expert with years of experience working with ElasticSearch, Big Data solutions, and scalable cloud architecture. He has authored multiple books and technical articles on ElasticSearch, leveraging his extensive knowledge to provide practical insights. His approachable and detail-oriented style makes complex concepts accessible to technical professionals. Who is it for? This book is best suited for software developers and IT professionals looking to use ElasticSearch in their projects. Readers should be familiar with JSON, as well as basic programming skills in Java. It is ideal for those who have an understanding of search applications and want to deepen their expertise. Whether you're integrating ElasticSearch into a web application or optimizing your system's search capabilities, this book will provide the skills and knowledge you need.

Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships.

Each new print copy includes Navigate 2 Advantage Access that unlocks a comprehensive and interactive eBook, student practice activities and assessments, a full suite of instructor resources, and learning analytics reporting tools.

Fully revised and updated, the Sixth Edition of the best-selling text Computer Science Illuminated retains the accessibility and in-depth coverage of previous editions, while incorporating all-new material on cutting-edge issues in computer science. Authored by the award-winning Nell Dale and John Lewis, Computer Science Illuminated’s unique and innovative layered approach moves through the levels of computing from an organized, language-neutral perspective.

Designed for the introductory computing and computer science course, this student-friendly Sixth Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing.

Key Features of the Sixth Edition include:

Access to Navigate 2 online learning materials including a comprehensive and interactive eBook, student practice activities and assessments, learning analytics reporting tools, and more
Completely revised sections on HTML and CSS
Updates regarding Top Level Domains, Social Networks, and Google Analytics
All-new section on Internet management, including ICANN control and net neutrality 
New design, including fully revised figures and tables
New and updated Did You Know callouts are included in the chapter margins
New and revised Ethical Issues and Biographies throughout emphasize the history and breadth of computing
Available in our customizable PUBLISH platform

A collection of programming language chapters are available as low-cost bundling options. Available chapters include: Java, C++, Python, Alice, SQL, VB.NET, RUBY, Perl, Pascal, and JavaScript.

With Navigate 2, technology and content combine to expand the reach of your classroom. Whether you teach an online, hybrid, or traditional classroom-based course, Navigate 2 delivers unbeatable value. Experience Navigate 2 today at www.jblnavigate.com/2

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

In this inaugural episode of the Digital Analytics Power Hour, Michael, Jim, and Tim discuss how a digital analyst working today can become better at what he or she does. Tending bar? Cold calling the CFO? The guys share their own origin stories -- what drew them to web analytics, as well as what made them stay -- and tell a few tales of what worked for them as they evolved their own careers.