Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement
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Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI
Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement
Nº de artículo: 45257255

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

86% of respondents would recommend this to a friend

Nº de artículo: 45257255

GTQ 318

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What Stands Out

Expert Guidance
Offers in-depth strategies to build and lead analytics teams effectively, empowering organizations to leverage analytics and AI for significant business enhancements and informed decision-making.
AI Integration
Focuses on integrating artificial intelligence seamlessly into analytics processes, enabling businesses to unlock valuable insights and drive innovative solutions tailored to market needs.
Comprehensive Framework
Provides a robust framework for understanding analytics and AI applications, ensuring businesses can navigate challenges while maximizing opportunities for growth and operational efficiency.

Detalles de producto

Transform your business with analytics and AI. Ubuy Guatemala offers a wide range of tools and resources for building high-performing analytics teams.
Publisher Packt Publishing
Publication date June 30, 2020
Language English
Print length 394 pages
ISBN-10 1800203160
ISBN-13 978-1800203167
Item Weight 1.16 pounds (530 grams)
Dimensions 6 x 0.89 x 9 inches (15.2 x 2.3 x 22.9 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    Perfect for data analysts looking to enhance their skills in building effective analytics teams and frameworks.

  • Business Managers

    Ideal for business managers aiming to integrate AI and analytics into their decision-making processes for improvement.

  • Educational Institutions

    Beneficial for institutions teaching analytics, providing a structured approach for integrating analytics into business curricula.

Not Suitable For
  • Technical Developers

    May not suit developers focused on coding, lacking content relevant to implementation rather than team-building strategies.

DESCRIPCIÓN DEL PRODUCTO

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

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Preguntas y respuestas de los clientes

  • Pregunta: What is the main focus of 'Building Analytics Teams'?

    Respuesta: The book primarily focuses on how to effectively create and manage analytics teams that leverage artificial intelligence and advanced data analysis to drive business improvements. It details the roles, skills, and structures necessary for building a successful analytics team, which is increasingly vital in today’s data-driven environment. For instance, companies can benefit by identifying key performance indicators and taking data-informed decisions, leading to enhanced operational efficiency and market competitiveness.
  • Pregunta: Who is the intended audience for this book?

    Respuesta: 'Building Analytics Teams' is aimed at business leaders, managers, and professionals involved in data analytics and artificial intelligence. It is particularly useful for those seeking to enhance their organization’s analytical capabilities. Practical scenarios discussed in the book help readers understand how to implement the concepts in real-world settings, making it beneficial for various sectors, from tech startups to established enterprises looking to optimize their analytics strategies.
  • Pregunta: What can I expect to learn from this book?

    Respuesta: Readers can expect to gain insights into the design and functionality of analytics teams, including how roles such as data scientists and analysts interact within a collaborative framework. The book covers methodologies for fostering a data-driven culture and emphasizes best practices in analytics deployment. Companies may find this useful when training their personnel or restructuring teams for better output and innovation in product developments.
  • Pregunta: How does the book address the integration of AI in analytics?

    Respuesta: 'Building Analytics Teams' thoroughly examines the role of artificial intelligence in enhancing data analytics processes. It discusses various AI tools and techniques that analytics teams can adopt to improve data interpretation and forecasting. By implementing AI-driven analytical models, companies can uncover insights that drive strategic decisions, such as customer behavior predictions or operational cost reductions, significantly enhancing business outcomes.
  • Pregunta: Are there practical examples of analytics teams in the book?

    Respuesta: Yes, the book includes numerous case studies and examples of successful analytics teams from various industries. These real-life applications demonstrate how organizations have effectively deployed analytics to solve complex challenges. Readers can learn from these experiences to adopt similar strategies in their contexts, ensuring a more informed approach to building and managing their analytics capabilities.
  • Pregunta: What skills are emphasized for analytics professionals in this book?

    Respuesta: The book emphasizes a mix of technical skills and soft skills for analytics professionals. Key technical skills include proficiency in data modeling, statistical analysis, and machine learning, while soft skills such as communication, problem-solving, and teamwork are equally highlighted. This combination is essential for professionals aiming to effectively collaborate and bring insights from data to various stakeholders within a business environment.
  • Pregunta: Is this book suitable for a beginner in analytics?

    Respuesta: While 'Building Analytics Teams' targets those with a foundational understanding of data analytics, beginners can also benefit from its comprehensive approach to team dynamics and processes. The book breaks down complex concepts into digestible insights, making it easier for newcomers to grasp essential elements of analytics team structure and operational strategies. As a beginner, one can use it as a stepping stone for deeper exploration into data analytics within an organizational context.
  • Pregunta: What sets this book apart from other analytics guides?

    Respuesta: What distinguishes 'Building Analytics Teams' from other analytics literature is its concentrated focus on the team dynamics and strategic organization of analytics roles, rather than solely on technical techniques. The actionable insights it offers on managing multidisciplinary teams and fostering collaboration can be transformative for businesses seeking cohesive analytics approaches. It’s particularly beneficial for businesses wanting to build a strong foundation of analytics talent to drive innovation.
  • Pregunta: Can the book help organizations shape their data-driven culture?

    Respuesta: Absolutely! 'Building Analytics Teams' offers valuable guidance on instilling a data-driven culture within organizations. It discusses practices that encourage data literacy among employees and promotes the use of data in decision-making processes across all levels. Organizations aiming to enhance their data ethos can use these strategies to ensure that data becomes a central part of their operations, fostering continuous improvement and adaptability.
  • Pregunta: Where can I buy 'Building Analytics Teams' in Guatemala?

    Respuesta: You can buy 'Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement' at Ubuy in Guatemala. Ubuy offers a convenient platform to purchase this book, allowing you to access it easily and have it delivered directly to your doorstep.

Data Modeling & Design Editorial Review

Building Analytics Teams by John Thompson has received overwhelmingly positive reviews from readers. The book provides practical advice for leaders looking to implement analytics and artificial intelligence in their business. Thompson uses his decades of expertise and real-world anecdotes to make the content approachable and actionable. Key takeaways include the importance of people change management, bias and ethics, and building analytics as a core capability for business strategy. The book also covers leadership challenges and the unique personalities and skills required to build a successful analytics team.

Customer Reviews & Ratings

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ventajas

  • Practical advice for leaders looking to implement analytics and AI in their business
  • Approachable and actionable
  • Provides insights unique to the field of advanced analytics
  • Covers the importance of people change management, bias and ethics

Contras

  • Some found the book repetitive with too many words for the content

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GTQ 318

Haz tu pedido ahora y recíbelo por ahí Monday, Septiembre 21

QTY:

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características y beneficios

  • Learn to create an operationally effective advanced analytics team
  • Select and undertake projects that deliver improved top and bottom-line results
  • Create relationships with executives, senior managers, peers, and subject matter experts
  • Achieve initial and sustainable success in building an analytically sound team
  • Manage, develop, and lead an analytics team
  • Acquire the knowledge to create an effective business analytics team

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