Self Service Data Analytics And Governance For Managers
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Self Service Data Analytics And Governance For Managers
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Author : Nathan E. Myers
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-02
Self Service Data Analytics And Governance For Managers written by Nathan E. Myers 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 2021-06-02 with Business & Economics categories.
Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands.
Self Service Analytics Simplified
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Author : Arshad Khan
language : en
Publisher: Khan Consulting & Publishing LLC
Release Date : 2019-07-10
Self Service Analytics Simplified written by Arshad Khan and has been published by Khan Consulting & Publishing LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Computers categories.
Self-Service Analytics Simplified: How to Plan and Implement will introduce you to self-service analytics (SSA), which aims to make business users less dependent on IT for their reporting and analytics needs. This book, which teaches how to plan and implement an SSA project, will appeal to a broad range of users including senior executives, business and IT managers, project managers, data analysts, business analysts, developers, casual users, as well as IT professionals. The topics covered in Self-Service Analytics Simplified: How to Plan and Implement include an introduction to self-service analytics, relationship with BI, benefits for different types of users, readiness assessment, planning, data-related topics including metadata and data pipelining, architecture, tools, requirements, implementation, data governance, security, training, data and user onboarding, and barriers to adoption, as well as challenges, best practices, lessons, and tips.
Data Management At Scale
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Author : Piethein Strengholt
language : en
Publisher:
Release Date : 2020
Data Management At Scale written by Piethein Strengholt 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.
The amount of data generated is growing tremendously in size and complexity. As trends in data management and integration, such as cloud, API management, microservices, open data, software as a service (SaaS), and new software delivery models, continue to evolve rapidly, data warehouses and data lakes are no longer scalable. With this practical book, you'll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a new data management architecture that's more flexible, distributed, and scalable. Ready for the modern world of data consumption, this architecture can be introduced incrementally without a large up-front investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. In three parts, this book helps you: Examine data management trends and difficulties, including technological developments and regulatory and privacy requirements that puzzle enterprises Go deep into this innovative new architecture and learn how the pieces fit together Explore data governance and security, business intelligence, and analytics Understand data management, self-service data marketplaces, and the importance of metadata.
The Self Service Data Roadmap
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Author : Sandeep Uttamchandani
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-09-10
The Self Service Data Roadmap written by Sandeep Uttamchandani 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 2020-09-10 with Computers categories.
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization
Performance Dashboards
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Author : Wayne W. Eckerson
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-27
Performance Dashboards written by Wayne W. Eckerson 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 2005-10-27 with Business & Economics categories.
Tips, techniques, and trends on how to use dashboard technology tooptimize business performance Business performance management is a hot new management disciplinethat delivers tremendous value when supported by informationtechnology. Through case studies and industry research, this bookshows how leading companies are using performance dashboards toexecute strategy, optimize business processes, and improveperformance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for TheData Warehousing Institute (TDWI), the leading association ofbusiness intelligence and data warehousing professionals worldwidethat provide high-quality, in-depth education, training, andresearch. He is a columnist for SearchCIO.com, DM Review,Application Development Trends, the Business Intelligence Journal,and TDWI Case Studies & Solution.
Data Management At Scale
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Author : Piethein Strengholt
language : en
Publisher: O'Reilly Media
Release Date : 2020-07-29
Data Management At Scale written by Piethein Strengholt and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
10 Tips And Stories For New Data Analytics Leader
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Author : Jacob So
language : en
Publisher: Jacob So
Release Date : 2023-02-22
10 Tips And Stories For New Data Analytics Leader written by Jacob So and has been published by Jacob So this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-22 with Computers categories.
What are you likely to face as a new Analytics Leader? What should you consider before joining a company as their Head of Analytics? What are the expectations from your key stakeholders? "10 Tips for New Data Analytics Leader" is a guide that offers practical advice for individuals who are starting out as data analytics leaders. Whether you are a newly appointed manager, a team lead or a seasoned analyst transitioning into a leadership role, this ebook provides you with essential tips and strategies that will help you succeed.
The Self Service Data Roadmap
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Author : Sandeep Uttamchandani
language : en
Publisher:
Release Date : 2020-10-13
The Self Service Data Roadmap written by Sandeep Uttamchandani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with categories.
The world's most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hours. Data scientists spend nearly 80% of their time in data engineering, rather than developing insights. And most organizations can't scale their data science teams fast enough to keep up with growing business needs for better, faster insights. This book will help data engineers, data scientists, and data team managers address these issues by building a self-service data science platform that democratizes the ability to extract insights from the data to everyone in the organization. Data scientists, software engineers, product managers, and marketers can use it to discover, transform, and analyze data and publish automated insights in production. This book is not: A deep dive into the "shiny new" technologies, or any one specific technology A silver bullet technology for building a self-service portal. Organizations differ in their maturity, people, process, and technology and require tailored solutions This book is: A collection of must-have operational capabilities for building a self-service data portal A blueprint for achieving better and faster insights A process for democratizing data engineering expertise across an organization A practical and indispensable guide for any decision-maker, implementer, or strategist working with an organization's data science platform.
Big Data Management
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Author : Peter Ghavami
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-11-09
Big Data Management written by Peter Ghavami and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-09 with Business & Economics categories.
Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
The Data And Analytics Playbook
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Author : Lowell Fryman
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-08-12
The Data And Analytics Playbook written by Lowell Fryman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Computers categories.
The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it. In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization. Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success