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Thursday, December 26, 2013

Mobile User Experience: Patterns to Make Sense of it All

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Mobile User Experience: Patterns to Make Sense of it All Title: Mobile User Experience: Patterns to Make Sense of it All
Author: Adrian Mendoza
Publisher: 2013-11-11
Format: Online PDF (248 pages, 26MB)
Language: English
ISBN-10: 0124095143
ISBN-13: 9780124095144

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Throughout the book, the author provides you with 10 of the prototypes are frequently used in the field of UX to help illustrate what mobile UX and how you can master it as quickly as possible. First, you will start learning how to communicate the intuitive mobile UX. From there, you will learn about the applications and use models use 10 unique experience or the prototypes for mobile phones. Finally, you will learn how to test and use the model to create web sites and applications.

Table of Contents

Chapter 1. Introduction
Chapter 2. Why Mobile UX, Why Now?
Chapter 3. Your desktop experience is NOT your mobile experience
Chapter 4. Understanding the Device
Chapter 5. How Mobile Wireframing Works
Chapter 6. Mobile UX Patterns
Chapter 7. How to Prototype in Mobile
Chapter 8: Mobile App or Mobile Web: The Big Debate
Chapter 9. The future of mobile UX is in using performance metrics
Appendix A. List of Devices from Chapter 1
Appendix B. List of My Devices from Chapter 4
Appendix C. Sample Mobile Sheets from Chapter 5 and 7
Appendix D. Mobile Performance Results from Chapter 9

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Platform Ecosystems: Aligning Architecture, Governance, and Strategy

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Platform Ecosystems: Aligning Architecture, Governance, and Strategy Title: Platform Ecosystems: Aligning Architecture, Governance, and Strategy
Author: Amrit Tiwana
Publisher: 2013-12-16
Format: Online PDF (300 pages, 4.1MB)
Language: English
ISBN-10: 0124080669
ISBN-13: 9780124080669

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Platform Ecosystems is a practical guide is to provide a complete roadmap for the design and distribution platform in the vibrant software ecosystem. Unlike other software product management, development of the ecosystem and their participants must be arranged through a thoughtful links architecture and governance. Whether you are an IT specialist or a General Manager, you will benefit from this book because of platforms strategy here is located at the intersection of software architecture and business strategy. It provides the tools to develop your own platform strategies, supported by original research, tangible metrics, data-rich, and the case.

Table of Contents

PART I: The Rise of Platforms
1. The Rise of Platforms
2. Core Concepts and Principles
3. Why Platform Businesses are Unlike Product or Service Businesses
4. The Value Proposition of Platforms

PART II: Architecture and Governance
5. Platform Architecture
6. Platform Governance

PART III: Dynamics and Metrics of Ecosystem Evolution
7. Metrics of Evolution
8. Real Options Thinking
9. Modular Operators

PART IV: Orchestrating Evolution
10. Evolving a Platform
11. Evolving an App

PART V: The Road Ahead
12. Why Every Product is a Platform Waiting to Happen

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Data Stewardship

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Data Stewardship Title: Data Stewardship
Author: David Plotkin
Publisher: 2013-10-10
Format: Online PDF (248 pages, 2.3MB)
Language: English
ISBN-10: 0124103898
ISBN-13: 9780124103894

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Data stewards in business and IT is the backbone of implementing successful data governance as they work to make the data of a reliable company, reliable, and high quality. Data Manager explains everything you need to know to successfully implement the management of data management, including how to organize, train, and work with the data manager, defined high quality business and other metadata, and perform other daily tasks using minimum time and efforts of the Manager.

Table of Contents

Chapter 1 Data Stewardship and Data Governance: How They Fit Together
Chapter 2 Understanding the Types of Data Stewardship
Chapter 3 Stewardship Roles and Responsibilities
Chapter 4 Implementing Data Stewardship
Chapter 5 Training the Business Data Stewards
Chapter 6 Practical Data Stewardship
Chapter 7 The Important Roles of Data Stewards
Chapter 8 Measuring Data Stewardship Progress: The Metrics
Chapter 9 Rating Your Data Stewardship Maturity
Chapter 10 Summing it all up
Appendix A Example Definition and Derivation
Appendix B Sample Training Plan Outline

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Credible Checklists and Quality Questionnaires

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Credible Checklists and Quality Questionnaires Title: Credible Checklists and Quality Questionnaires
Author: Chauncey Wilson
Publisher: 2013-09-11
Format: Online PDF (102 pages, 3.1MB)
Language: English
ISBN-10: 0124103928
ISBN-13: 9780124103924

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In the second chapter, the questions and the survey will be discussed. The question seems simple, but the hard truth is questioned (and designed the questionnaire) is a difficult task. This chapter discusses who saved the selected words, order of questions and how the influence the questions the following questions, answers and how they affect the user's response, design questionnaires, and more. The final chapter provides examples of some common questions (both free and for a fee) to assess the usability of the product.

Table of Contents

Chapter 1: Checklists
Chapter 2: Questionnaires and Surveys
Chapter 3: Standard Usability Questionnaires

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Big Data Analytics

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 Big Data Analytics Title: Big Data Analytics
Author: David Loshin
Publisher: 2013-09-13
Format: Online PDF (142 pages, 3.1MB)
Language: English
ISBN-10: 0124173195
ISBN-13: 9780124173194

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Big Data Analytics: will help managers in providing an overview of the drivers for introduction large data technology to organize and for understanding the types of business problems works best with large data analysis solutions, understanding the drivers of value and benefitsstrategic planning, development of a pilot, and eventually planned to integrate back into production in the enterprise.

Table of Contents

Chapter 1 Market and Business Drivers for Big Data Analytics
Chapter 2 Business Problems Suited to Big Data Analytics
Chapter 3 Achieving Organizational Alignment for Big Data Analytics
Chapter 4 Developing a Strategy for Integrating Big Data Analytics into the Enterprise
Chapter 5 Data Governance for Big Data Analytics: Considerations for Data Policies and Processes
Chapter 6 Introduction to High-Performance Appliances for Big Data Management
Chapter 7 Big Data Tools and Techniques
Chapter 8 Developing Big Data Applications
Chapter 9 NoSQL Data Management for Big Data
Chapter 10 Using Graph Analytics for Big Data
Chapter 11 Developing the Big Data Roadmap

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Big Data Analytics - At our site you can freely choose the books that you love and read it, but did you know that in order to write the book so interesting and useful to the reader, the author takes lots of energy and enthusiasm for it, so you stop the download and give a small amount to contribute to support the author, can help them write many more great books for you. Thanks you very much.
 
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