Products related to Data:
-
Becoming Data Literate : Building a great business, culture and leadership through data and analytics
Data is a must-have for any business looking to thrive.So is having leadership who 'get' data and use it to support their decision-making.But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end?Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations.With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.
Price: 14.99 £ | Shipping*: 3.99 £ -
Data Culture : Develop An Effective Data-Driven Organization
Organizations often start their data journey by either procuring the technology or hiring the people.However, without an effective data-driven culture in place, they can struggle to derive value from their investments. Data Culture explores how data leaders can develop and nurture a data-driven culture tailored to their organization's needs.It outlines the types of data leadership and teams needed and the key building blocks for success, such as team recruitment, building and training, leadership, process, behavioural change management, developing, sustaining and measuring a data culture, company values and everyday decision making.It also explores the nuances of how different types of data cultures work with different types of companies, what to avoid and the differences between building a data culture from scratch and changing an existing data culture from within. With this hands-on guide, senior data leader Shorful Islam takes readers through how to successfully establish or change a data culture, sharing his expertise in behavioural change psychology and two decades of experience in fostering data culture in organizations.Supported throughout by real-world examples and cases, this will be an essential read for all data leaders and anyone involved in developing a data-driven organizational culture.
Price: 31.99 £ | Shipping*: 0.00 £ -
Data Governance : Governing data for sustainable business
Data is fundamentally changing the nature of businesses and organisations and the mechanisms for delivering products and services.This book is a practical guide to developing strategy and policy for data governance, in line with the developing ISO 38505 governance of data standards.It will assist an organisation wanting to become more of a data driven business by explaining how to assess the value, risks and constraints associated with collecting, using and distributing data.
Price: 44.99 £ | Shipping*: 0.00 £ -
Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
Learn how to build a data science technology stack and perform good data science with repeatable methods.You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry.Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results.He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll LearnBecome fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteriaMaster the methods for retrieving actionable business knowledgeCoordinate the handling ofpolyglot data types in a data lake for repeatable resultsWho This Book Is ForData scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers
Price: 54.99 £ | Shipping*: 0.00 £
-
How are data queried using database language?
Data is queried using database language by writing specific commands known as queries. These queries are written in a structured query language (SQL) that allows users to retrieve, manipulate, and manage data stored in a database. By using SQL commands such as SELECT, INSERT, UPDATE, and DELETE, users can specify the criteria for retrieving data from the database tables. The queries are executed by the database management system, which processes the commands and returns the requested data based on the specified criteria.
-
What does a Business Intelligence Data Architect do?
A Business Intelligence Data Architect is responsible for designing and implementing the data architecture for a company's business intelligence systems. They work closely with stakeholders to understand the organization's data needs and design data models that support reporting and analytics requirements. They also ensure data quality, integrity, and security, and may be involved in data governance and compliance efforts. Overall, a Business Intelligence Data Architect plays a crucial role in enabling data-driven decision-making within an organization.
-
Should one study Business Informatics or Data Science?
The choice between studying Business Informatics or Data Science depends on one's career goals and interests. Business Informatics focuses on the intersection of business and technology, preparing students for roles in business analysis, project management, and IT consulting. On the other hand, Data Science is more focused on analyzing and interpreting complex data sets to inform business decisions and strategies. If one is interested in the technical aspects of data analysis and machine learning, Data Science may be the better choice. However, if one is more interested in the application of technology in a business context, Business Informatics may be the more suitable option.
-
Can one become a Data Scientist or Data Analyst with a degree in Business Informatics?
Yes, it is possible to become a Data Scientist or Data Analyst with a degree in Business Informatics. Business Informatics combines business and technology, providing students with a strong foundation in both areas. This background can be valuable for roles in data analysis and interpretation, as well as understanding the business implications of data-driven insights. Additionally, individuals with a degree in Business Informatics can further develop their skills in data science and analysis through additional coursework, certifications, and practical experience.
Similar search terms for Data:
-
Understanding Data, Culture and Society
- How is data shaping our identities?- What was the 'data revolution', and how did it happen?- How will AI change our societies?We live in the age of datafication: every aspect of our lives has been captured and transformed into data, from our sleeping patterns and step counts to our buying habits and political views. In this exciting new textbook, you will discover the intricate ways in which data and society are interwoven. Explaining key concepts such as 'big data' and putting theory into practice throughout, this book will make you a better expert in data and society, offering an interdisciplinary overview of a rapidly evolving field. This textbook tackles the implications of big data for democracy, identity and the global economy, showing how we cannot view our lives as separate from the technologies we have come to rely on. With learning objectives, case studies, further reading and extra resources provided in each chapter, this book is the ideal companion for students in the digital humanities and social sciences looking to deepen their understanding of data, culture and society.
Price: 33.99 £ | Shipping*: 0.00 £ -
Data Analytics : An Essential Beginner's Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence Concepts
Say goodbye to scratching your head in confusionThis data analytics book could be the answer you're looking for...This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more.We’ll begin by first examining what data analytics really means and what it entails. Do not fret when you meet challenging terms as you read on, as this book includes detailed explanations of words you may not understand.Here are just some of the topics that are discussed within this book:Overview Of Data Analytics: What Is Data Analytics (And Big Data Analytics)?,Data Analytics And Business Intelligence,Data Analysis And Data Analytics,Data Mining,Data Collection,Types Of Data Analytics,The Process: The Lifecycle Of Big Data Analytics,Behavioral Analytics: Using Big Data Analytics To Find Hidden Customer Behavior Patterns,Further Pattern Discovery In Advanced Analytics: Machine Learning,And Much, Much More,Get the book now and learn more about data analytics!
Price: 29.99 £ | Shipping*: 0.00 £ -
Data Dating : Love, Technology, Desire
What does it mean to love with technology? Does data improve our emotional interactions? The collection approaches the query with critical essays and works of new media art to look into the construction of love and its practices in the time of digitally mediated relationships.With expertise coming from recognized researchers, critics and artists in the field of media and cultural studies, it analyses relationship trends and affect cultures that have emerged from technological acceleration. Data Dating: Love, Technology and Desire is a comprehensive study of love and intimacy under digitalism that reflects on the structure of feeling(s) and libido environments in the high-tech and media-bound landscapes of contemporary technocracies. Organized around ten chapters and ten works of new media art, the collection offers an extensive critical analysis of technologized romance (and other emotional relations), as well as provides an insight into the codification, execution, deployment, and evolution of the patterns of togetherness in the so-called Tamagotchi era. The chapters engage in the problems of new material planes that have emerged from the abstraction of networked communication and dispersion of traditional notions of physicality.They close-read the templates of contemporary fantasy, fetish and eroticism, as shaped by platform capitalism, datafication, and new commodity cultures, in which self-promotion for bonding relies on the new possibilities that are coming in with new media self-mediation formats.Central to the analysis is the carbon-silicon dynamics of love’s contemporary DNA and libidinal techne – practiced in the environment where screens, interfaces, algorithms, data protocols and non-organic objects of affection and affect delineate, organize and program the trajectories of encounter, limerence and erotic pleasure.All the chapters are authored by recognized researchers in the field of love, emotion, media, technology and cultural studies, and they critically explore various aspects of love/intimacy under technocracy, approaching them with expertise the goes beyond the typical high-modernist and post-structural reading of the media-ridden life practices and environments. More importantly, the collection includes landmark works of new media art coming from prominent new media artist gathered around 'Data Dating' – new media art exhibition, curated by Valentina Peri (co-editor of the collection) and presented in Paris, Tel Aviv and London.As such, the collection proffers a unique and original critical approach – one that combines artistic practice and cultural criticism – to comment upon the transformation of human relationships and emotional standards under technological development with reference to the social change and cultural condition. The collection of essays, each accompanied by a work of media art, that provides a comprehensive insight into the construction of love and its practices in the time of digitally mediated relationships. Primary readership will be among educators, researcher and students in disciplines including cultural studies, media and communications, philosophy, sociology, psychology and gender, LGBTQ+ and sexual studies.It will be an extremely valuable resource for those in these fields. It will be of interest to other groups including art curators, online platform designers, social media content managers and designers and data specialists.
Price: 34.95 £ | Shipping*: 0.00 £ -
The Left Hand of Data : Designing Education Data for Justice
Price: 38.00 £ | Shipping*: 0.00 £
-
What is the difference between culture and tradition?
Culture refers to the beliefs, customs, arts, and social behaviors of a particular group of people, encompassing a broader range of practices and values. On the other hand, tradition specifically refers to the customs and practices that are passed down from generation to generation within a specific community or society. While culture is more dynamic and can evolve over time, traditions tend to be more static and rooted in history and heritage.
-
Can I pursue a business education with a focus on technology?
Yes, you can pursue a business education with a focus on technology. Many business schools offer specialized programs or concentrations in technology management, information systems, or technology entrepreneurship. These programs provide a strong foundation in business principles while also incorporating coursework in technology-related topics such as data analytics, digital marketing, and innovation management. Graduates with this combination of skills are well-equipped to pursue careers in technology-driven industries or to start their own tech-focused businesses.
-
Which programming language is well-suited for processing data?
Python is well-suited for processing data due to its extensive libraries and tools for data analysis, manipulation, and visualization. Libraries such as Pandas, NumPy, and Matplotlib make it easy to work with large datasets and perform complex data operations. Additionally, Python's simplicity and readability make it a popular choice for data processing tasks, as it allows for quick and efficient development of data-related applications.
-
What is the meaning of tradition, culture, and identity?
Tradition refers to the customs, beliefs, and practices that are passed down from generation to generation within a community or society. Culture encompasses the shared values, beliefs, and behaviors of a particular group of people, including their language, art, music, and social norms. Identity is the sense of self and belonging that is shaped by one's cultural background, traditions, and experiences. Together, tradition, culture, and identity form the foundation of a person's sense of belonging and connection to their community and heritage.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.