Data Teams PDF Download

Author: Jesse Anderson
Publisher:
ISBN: 9781484262290
Category :
Languages : en
Pages :

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Author: John K. Thompson
Publisher: Packt Publishing Ltd
ISBN: 180020518X
Category : Computers
Languages : en
Pages : 395

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Book Description
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.

Author: DJ Patil
Publisher: "O'Reilly Media, Inc."
ISBN: 1449316778
Category : Computers
Languages : en
Pages : 14

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Book Description
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.

Author: Kristin L. Anderson
Publisher: Lead and Learn Press
ISBN: 9781935588016
Category : Education
Languages : en
Pages : 0

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Book Description
An anthology of case studies of eight different schools and school systems that have implemented successful Data Teams. A Data Team is a group of teachers who collects and charts data from assessments of students, analyzes both strengths of and obstacles facing a student, establishes goals, selects instructional strategies and determines result indicators for individual students. These case studies review the school's plan, their mid-course corrections and their successes.

Author: Steve Ventura
Publisher: ASCD
ISBN: 1416631488
Category : Education
Languages : en
Pages : 236

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Book Description
What if you had a collaborative process of looking at student data that could pinpoint student gaps in learning and suggest effective strategies to close those gaps? What if you knew not only what you should start doing to enhance student learning, but also what you should stop doing because it hasn't given you the hoped-for results? Enter Achievement Teams. This is not another program that's here today and gone tomorrow; it's a timeless approach that any school or district can replicate that focuses on the most significant variable in student achievement: teaching. In Achievement Teams, Steve Ventura and Michelle Ventura offer a framework based on John Hattie's Visible Learning research that makes teacher collaboration more efficient, rigorous, satisfying, and effective. Think of it as a systematic treasure hunt for best practices using real data on your students. The authors walk you through the Achievement Teams four-step meeting protocol: * In Step 1, teams focus on the evidence from a pre-assessment to provide specific feedback to students and teachers about concepts and skills that students did and did not learn. * In Step 2, teams use that evidence to establish SMART goals for both teachers and students. * In Step 3, teams summarize the collected data and make inferences around students' mastery levels. * In Step 4, teachers select high-impact strategies directly targeted to student needs. A post-assessment reveals what did and didn't work. The authors provide a plethora of resources along the way, including reflection activities to extend your thinking and a variety of helpful downloadable templates designed to facilitate the work. If you're a teacher or leader who is interested in maximizing student achievement, this book is for you.

Author: Angela B. Peery
Publisher: Lead and Learn Press
ISBN: 9781935588023
Category : Education
Languages : en
Pages : 0

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Book Description
An instructional Data Team is a small group based on grade, department, or course that examines student's test. These tests are focus on prioritized standards or learning goals that are aligned with Common Core State Standards. The student's work is analyzed to gain a picture of how the student is doing. Then the Data Team selects instructional strategies to address the student's learning challenges. This is a how-to for those meetings.

Author: Zhamak Dehghani
Publisher: "O'Reilly Media, Inc."
ISBN: 1492092363
Category : Computers
Languages : en
Pages : 387

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Book Description
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Author: Matthew Skelton
Publisher: IT Revolution
ISBN: 1942788827
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.

Author: Taylor Rodgers
Publisher:
ISBN: 9781098398620
Category :
Languages : en
Pages :

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Author: Jeremy Adamson
Publisher: John Wiley & Sons
ISBN: 1119785332
Category : Computers
Languages : en
Pages : 240

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Book Description
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.