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Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement
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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
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Dettagli del prodotto
- 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 AIKey FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook DescriptionIn Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs.The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects.By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is forThis book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.Table of ContentsAn Overview of Successful and High-Performing Analytics TeamsBuilding an Analytics TeamManaging and Growing an Analytics TeamLeadership for Analytics TeamsManaging Executive ExpectationsEnsuring Engagement with Business ProfessionalsSelecting Winning ProjectsOperationalizing Analytics - How to Move from Projects to ProductionManaging the New Analytical EcosystemThe Future of Analytics - What Will We See Next?
| 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) |
A chi è consigliato?
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Data Analysts
Perfect for data analysts looking to enhance their skills in building effective analytics teams and frameworks.
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Business Managers
Ideal for business managers aiming to integrate AI and analytics into their decision-making processes for improvement.
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Educational Institutions
Beneficial for institutions teaching analytics, providing a structured approach for integrating analytics into business curricula.
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Technical Developers
May not suit developers focused on coding, lacking content relevant to implementation rather than team-building strategies.
DESCRIZIONE DEL PRODOTTO
Domande e risposte dei clienti
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Domanda:
What is the main focus of 'Building Analytics Teams'?
Risposta: 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. -
Domanda:
Who is the intended audience for this book?
Risposta: '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. -
Domanda:
What can I expect to learn from this book?
Risposta: 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. -
Domanda:
How does the book address the integration of AI in analytics?
Risposta: '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. -
Domanda:
Are there practical examples of analytics teams in the book?
Risposta: 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. -
Domanda:
What skills are emphasized for analytics professionals in this book?
Risposta: 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. -
Domanda:
Is this book suitable for a beginner in analytics?
Risposta: 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. -
Domanda:
What sets this book apart from other analytics guides?
Risposta: 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. -
Domanda:
Can the book help organizations shape their data-driven culture?
Risposta: 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. -
Domanda:
Where can I buy 'Building Analytics Teams' in Italy?
Risposta: You can buy 'Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement' at Ubuy in Italy. 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
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Caratteristiche e benefici
- 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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