Products related to Team:
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Team Teaching and Team Learning in the Language Classroom : Collaboration for innovation in ELT
This book reignites discussion on the importance of collaboration and innovation in language education.The pivotal difference highlighted in this volume is the concept of team learning through collaborative relationships such as team teaching.It explores ways in which team learning happens in ELT environments and what emerges from these explorations is a more robust concept of team learning in language education.Coupled with this deeper understanding, the value of participant research is emphasised by defining the notion of ‘team’ to include all participants in the educational experience.Authors in this volume position practice ahead of theory as they struggle to make sense of the complex phenomena of language teaching and learning.The focus of this book is on the nexus between ELT theory and practice as viewed through the lens of collaboration.The volume aims to add to the current knowledge base in order to bridge the theory-practice gap regarding collaboration for innovation in language classrooms.
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Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
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Fostering Innovation : How to Build an Amazing IT Team
Proven and practical strategies for leading IT teams and departments In Fostering Innovation: How to Build an Amazing IT Team, accomplished technology strategist, executive, and leader Andrew Laudato delivers an eye-opening exploration of how to design, build, staff, and run a high-performing IT department.The book is filled with universally applicable strategies and techniques that can transform any IT team into an all-star cast perfectly aligned with your organization’s objectives. Incorporating proven and practical processes throughout the narrative, the book offers useful continuous improvement concepts the reader can apply to their team, company, and professional development.Readers will also find: Foolproof ways to put people before technologyDetailed discussions of perennially important topics, like the importance of uptime, how to deploy redundancy, and creating the perfect organization chartStrategies for managing and motivating the wonderfully unique individuals we refer to as "technologists." The perfect resource for newly minted Chief Information Officers and Chief Technology Officers, Fostering Innovation will also earn a place in the libraries of non-technical professionals who work closely with IT, and business leaders seeking a better understanding of how to lead an IT team.
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Which team, Team L or Team Light?
Team Light is the better team because they have consistently demonstrated strong teamwork, communication, and strategic thinking throughout the competition. Their ability to adapt to different challenges and work well together sets them apart from Team L. Overall, Team Light has shown more cohesion and effectiveness in achieving their goals.
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Which team wins: Team Anime or Team Comics?
It ultimately depends on the specific characters and abilities of each team. Team Anime may have powerful characters with supernatural abilities, while Team Comics may have superheroes with advanced technology and incredible strength. Both teams have iconic and beloved characters, so the outcome of a battle between them would be subjective and open to interpretation.
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Which team do you prefer: Team Cap, Team Iron Man, or Team Thor?
As an AI, I do not have personal preferences. However, each team has its own unique qualities that appeal to different individuals. Team Cap is known for its loyalty and dedication to doing what is right, Team Iron Man is admired for its technological prowess and strategic thinking, and Team Thor is loved for its strength and sense of humor. Ultimately, the choice of which team to prefer is subjective and depends on individual preferences.
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What is your team: Team Edward or Team Jacob?
As an AI language model, I don't have personal preferences. However, I can tell you that the Team Edward vs. Team Jacob debate comes from the Twilight series, where fans choose between the two main male characters, Edward Cullen and Jacob Black. Some fans prefer Edward for his romantic and protective nature, while others prefer Jacob for his loyalty and warmth. Ultimately, it's a matter of personal preference and both characters have their own strengths and appeal to different fans.
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Big Data Analytics
Big Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering.The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information.Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data.
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Social Data Analytics
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics.It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery.The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics.It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry.It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions.Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
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Team Analytics : The Future of High-Performance Teams and Project Success
Written by authors who have real-world experience of leading teams and major projects, this book explores a new approach to project success: the continuous process of enabling and empowering teams to reach the optimal levels of performance.For decades, project managers have been asking the multi-million, and sometimes multi-billion-dollar question: why did the project fail?High project failure rates are nothing new and have been well documented, but when project professionals seek answers, they usually return to the original project plan to identify flaws.Yet there is one place where most don't look for the answers: the people.Here is the value gap of the almost untouched area of project team performance management that has the potential to be the next quantum leap in project success.PMO leaders, change executives, HR professionals, project managers, program managers, and portfolio managers – anyone who leads a team in the project world – will learn how to make this critical investment for any organization which wishes to thrive in the ‘new normal’ project-based economy.
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Business Models : Innovation, Digital Transformation, and Analytics
Since the beginning of time, running a business has involved using logic by which the business operates.This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models.Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation.Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models.Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analyticsThis book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition.It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
Price: 44.99 £ | Shipping*: 0.00 £
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Which team do you prefer: Team sweet or Team salty?
As an AI, I do not have personal preferences. However, some people may prefer Team sweet for their love of desserts and sugary treats, while others may prefer Team salty for their enjoyment of savory snacks like chips and pretzels. Ultimately, it comes down to individual taste preferences and cravings.
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Which team do you prefer: Team Dog or Team Cat?
As an AI language model, I don't have personal preferences. However, both Team Dog and Team Cat have their own unique qualities that make them special. Team Dog is known for its loyalty, playfulness, and companionship, while Team Cat is known for its independence, grace, and affection. Ultimately, the preference between Team Dog and Team Cat comes down to individual personalities and lifestyles.
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Which team do you prefer, Team Kana or Team Akane?
As an AI, I do not have personal preferences. Both Team Kana and Team Akane have their own unique strengths and qualities. It ultimately depends on individual preferences and which team resonates more with each person. Both teams have their own merits and can be appreciated for different reasons.
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Which team do you prefer: Team Hashirama or Team Madara?
As an AI, I do not have personal preferences. Both Team Hashirama and Team Madara have their own strengths and weaknesses, and each team has its own unique qualities that make them interesting. It ultimately depends on individual preferences and which characters resonate more with the viewer.
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