Building Analytics Teams
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Building Analytics Teams
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Author : John K. Thompson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-30
Building Analytics Teams written by John K. Thompson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Computers categories.
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 Key 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 Description In 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 for This 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.
Building Analytics Teams
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Author : John K. Thompson
language : en
Publisher:
Release Date : 2020-06-29
Building Analytics Teams written by John K. Thompson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Minding The Machines
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Author : Jeremy Adamson
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-25
Minding The Machines written by Jeremy Adamson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success. In this book, you’ll discover: A focus on the three pillars of strategy, process, and people and their role in the iterative and ongoing effort of building an analytics team Repeated emphasis on three guiding principles followed by successful analytics teams: start early, go slow, and fully commit The importance of creating clear goals and objectives when creating a new analytics unit in an organization Perfect for executives, managers, team leads, and other business leaders tasked with structuring and leading a successful analytics team, Minding the Machines is also an indispensable resource for data scientists and analysts who seek to better understand how their individual efforts fit into their team’s overall results.
Building A Digital Analytics Organization
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Author : Judah Phillips
language : en
Publisher: FT Press
Release Date : 2013-07-25
Building A Digital Analytics Organization written by Judah Phillips and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-25 with Computers categories.
Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.
Building Data Science Teams
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Author : DJ Patil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-15
Building Data Science Teams written by DJ Patil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Computers categories.
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.
Data Teams
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Author : Jesse Anderson
language : en
Publisher:
Release Date : 2020
Data Teams written by Jesse Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Building Machine Learning Powered Applications
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Author : Emmanuel Ameisen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-01-21
Building Machine Learning Powered Applications written by Emmanuel Ameisen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-21 with Computers categories.
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment
Building Top Performing Teams
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Author : Lucy Widdowson
language : en
Publisher: Kogan Page Publishers
Release Date : 2021-01-03
Building Top Performing Teams written by Lucy Widdowson and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-03 with Business & Economics categories.
The best way for a business to succeed is through its people. While there are gains to be had from streamlining processes, reducing costs or making a strategic change, the biggest potential for success comes through how humans collaborate. Specifically, the greatest gains are achieved through high performing teams, and teams of teams. Containing more than 40 tools which can be used in a virtual or in-person coaching environment, Building Top-Performing Teams is a practical guide for leaders, HR professionals, coaches, team coaches and anyone with management responsibility. It covers how to motivate, develop, engage and reward a team of employees with different levels of experience and priorities to achieve outstanding business success. Building Top-Performing Teams includes essential guidance, tools and techniques that show how to promote team ways of working rather than individual-focused processes. It also includes guidance on managing internal team conflict and ensuring that teams are purpose-driven and working towards a shared business goal. Each chapter includes diagnostic questions and reflective practice exercises to allow readers to identify how to apply each element of team development to their workforce. Supported by the authors' experience in organizations such as the BBC, John Lewis, KPMG, Britvic, the NHS and BMW this is essential reading for anyone needing to unlock the value of teams to achieve greater business performance.
Agile Data Science
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Author : Russell Jurney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-10-15
Agile Data Science written by Russell Jurney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-15 with Computers categories.
Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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Author : Eric Anderson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-23
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value written by Eric Anderson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Business & Economics categories.
Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.