Explains how to make data-driven design part of your product design workflow, in a book that explains the best practices for analyzing and applying user data when making design decisions, teaches different approaches to data-informed design, explores potential pitfalls when relying on data and much more. Original.
Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company´s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward´s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards
The first of its kind - a data visualisation book combining beautiful presentation with student-specific guidance and learning features. This resource empowers and inspires readers to be able to present data effectively.
Understanding how to turn numbers into usable insights is a significant challenge for those who work with data on a daily basis. Thinking with Data provides a concise framework and key insights to help data people uncover the real problem to be solved as well as how to approach, organize, and analyze potential results. By drawing from rhetoric studies, design thinking, and his data strategy consultancy experience, author Max Shron shows you how focusing on the why will help you create usable insights from your company´s data jumble. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You?ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You?ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. * Learn a framework for scoping data projects * Understand how to pin down the details of an idea, receive feedback, and begin prototyping * Use the tools of arguments to ask good questions, build projects in stages, and communicate results * Explore data-specific patterns of reasoning and learn how to build more useful arguments * Delve into causal reasoning and learn how it permeates data work * Put everything together, using extended examples to see the method of full problem thinking in action
Dieses Lehrbuch behandelt die wichtigsten Methoden zur Erkennung und Extraktion von ´´Wissen´´ aus numerischen und nicht-numerischen Datenbanken in Technik und Wirtschaft. Der Autor vermittelt einen kompakten und zugleich fundierten Überblick über die verschiedenen Methoden sowie deren Zielsetzungen und Eigenschaften. Dadurch werden Leser befähigt, Data Mining eigenständig anzuwenden.
Suitable for any manager or team leader that has the green light to implement a data governance program, this book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. It also includes case studies to detail ´do´s´ and ´don´ts´ in real-world situations.
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that?s so clouded in hype? This insightful book, based on Columbia University?s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you?re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: * Statistical inference, exploratory data analysis, and the data science process * Algorithms * Spam filters, Naive Bayes, and data wrangling * Logistic regression * Financial modeling * Recommendation engines and causality * Data visualization * Social networks and data journalism * Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O?Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
From an award-winning project comes an inspiring, collaborative book that makes data artistic, personal - and open to all Each week for a year, Giorgia and Stefanie sent each other a postcard describing what had happened to them during that week around a particular theme. But they didn´t write it, they drew it: a week of smiling, a week of apologies, a week of desires. Presenting their fifty-two cards, along with thoughts and ideas about the data-drawing process, Dear Data hopes to inspire you to draw, slow down and make connections with other people, to see the world through a new lens, where everything and anything can be a creative starting point for play and expression.