Building Analytics Teams

Building Analytics Teams
Author: John K. Thompson
Publisher: Packt Publishing Ltd
Total Pages: 395
Release: 2020-06-30
Genre: Computers
ISBN: 180020518X

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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 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.

Minding the Machines

Minding the Machines
Author: Jeremy Adamson
Publisher: John Wiley & Sons
Total Pages: 240
Release: 2021-06-25
Genre: Computers
ISBN: 1119785332

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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

Building a Digital Analytics Organization
Author: Judah Phillips
Publisher: FT Press
Total Pages: 369
Release: 2013-07-25
Genre: Computers
ISBN: 0133372812

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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

Building Data Science Teams
Author: DJ Patil
Publisher: "O'Reilly Media, Inc."
Total Pages: 14
Release: 2011-09-15
Genre: Computers
ISBN: 1449316778

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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

Data Teams
Author: Jesse Anderson
Publisher:
Total Pages:
Release: 2020
Genre:
ISBN: 9781484262290

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Lean Analytics

Lean Analytics
Author: Alistair Croll
Publisher: "O'Reilly Media, Inc."
Total Pages: 403
Release: 2024-02-23
Genre: Business & Economics
ISBN: 1098168151

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Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

Agile Data Science

Agile Data Science
Author: Russell Jurney
Publisher: "O'Reilly Media, Inc."
Total Pages: 177
Release: 2013-10-15
Genre: Computers
ISBN: 1449326927

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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

Win with Advanced Business Analytics

Win with Advanced Business Analytics
Author: Jean-Paul Isson
Publisher: John Wiley & Sons
Total Pages: 416
Release: 2012-09-25
Genre: Business & Economics
ISBN: 1118417089

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Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.

Building and Managing High-Performance Distributed Teams

Building and Managing High-Performance Distributed Teams
Author: Alberto S. Silveira Jr.
Publisher: Apress
Total Pages: 208
Release: 2021-05-11
Genre: Business & Economics
ISBN: 9781484270547

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The age of the distributed team is upon us. Teams can now operate and collaborate from locations other than a central office, and events surrounding the 2020 COVID pandemic have thrown its practicality into sharp relief. Managing a team whose members are distributed across several locations requires a different mindset and will remain a must-have for all areas of business from this point forward. Building and Managing High-Performance Distributed Teams explains what the distributed teams concept means to the future of your company. Author Alberto S. Silveira Jr. leverages his industry knowledge to explore why the high-performance distributed team model is vital to the future of business, and explains how to build and maintain one through times of change. You will learn to differentiate between distributed teams, remote work, offshoring, and what each means in a modern context. Silveira also weaves in stories from his other life as a boater and sailor, using analogies and lessons gained from humankind’s thousands of years of maritime adventure to illustrate the value of well-managed teams, and to also convey the importance of life-work balance in today’s working world. The book analyzes team management strategies from some of the great successes and failures in recent years so that you can learn from the experiences of others. Building and Managing High-Performance Distributed Teams is your definitive guide for building a dynamic distributed team, using collaboration technology to attract and engage the most important element of any business—your people. Whether you are a department head, a business owner, or a team leader, this book presents the no-nonsense knowledge you need now to chart your course for success. What You Will Learn Understand what the new era of connected business means, and the role distributed teams will play. Differentiate between distributed teams, remote work, nearshore, and offshoring, and what each means to modern business. Discover the true heart of a high-performance distributed team (hint: it’s not the technology). Find out what the era of distributed teams means to existing infrastructure. Uncover what we can learn about team management from some of the great successes and failures of recent years. Appreciate the techniques honed by seafarers, pilots, and software designers combined to create a successful project plan for team management and company navigation. Comprehend the effective simplicity of the “power of three” in building successful teams. Apply proven techniques of measurement and metrics without leaving the human factor behind to improve team morale and productivity. Who This Book Is For Team leaders or officers of small-ish companies, with populations in the tens through to the mid-hundreds. It’s also for managers of somewhat autonomous departments within larger companies, and for everyone else in the boat because everyone in a company ultimately needs to know what being in a distributed team is all about.

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value
Author: Eric Anderson
Publisher: McGraw Hill Professional
Total Pages: 353
Release: 2020-11-23
Genre: Business & Economics
ISBN: 1260459152

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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.