Self Service Data Analytics And Governance For Managers

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Self-Service Data Analytics and Governance for Managers

Author : Nathan E. Myers
Publisher : John Wiley & Sons
ISBN 13 : 111977330X
Total Pages : 352 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Self-Service Data Analytics and Governance for Managers by : Nathan E. Myers

Download or read book Self-Service Data Analytics and Governance for Managers written by Nathan E. Myers and published by John Wiley & Sons. This book was released on 2021-05-12 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Arshad Khan
Publisher : Khan Consulting & Publishing LLC
ISBN 13 : 0966086376
Total Pages : 176 pages
Book Rating : 4.9/5 (66 download)

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Book Synopsis Self-Service Analytics Simplified by : Arshad Khan

Download or read book Self-Service Analytics Simplified written by Arshad Khan and published by Khan Consulting & Publishing LLC. This book was released on 2019-07-10 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Self-Service Data Roadmap

Author : Sandeep Uttamchandani
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492075205
Total Pages : 297 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis The Self-Service Data Roadmap by : Sandeep Uttamchandani

Download or read book The Self-Service Data Roadmap written by Sandeep Uttamchandani and published by "O'Reilly Media, Inc.". This book was released on 2020-09-10 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Wayne W. Eckerson
Publisher : John Wiley & Sons
ISBN 13 : 0471757659
Total Pages : 321 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Performance Dashboards by : Wayne W. Eckerson

Download or read book Performance Dashboards written by Wayne W. Eckerson and published by John Wiley & Sons. This book was released on 2005-10-27 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution.

Self-Service Data Analytics and Governance for Managers

Author : Nathan E. Myers
Publisher : John Wiley & Sons
ISBN 13 : 1119773296
Total Pages : 355 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Self-Service Data Analytics and Governance for Managers by : Nathan E. Myers

Download or read book Self-Service Data Analytics and Governance for Managers written by Nathan E. Myers and published by John Wiley & Sons. This book was released on 2021-06-02 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Data and Analytics Playbook

Author : Lowell Fryman
Publisher : Morgan Kaufmann
ISBN 13 : 0128025476
Total Pages : 292 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis The Data and Analytics Playbook by : Lowell Fryman

Download or read book The Data and Analytics Playbook written by Lowell Fryman and published by Morgan Kaufmann. This book was released on 2016-08-12 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Management at Scale

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492054739
Total Pages : 404 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Management at Scale by : Piethein Strengholt

Download or read book Data Management at Scale written by Piethein Strengholt and published by "O'Reilly Media, Inc.". This book was released on 2020-07-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Governance

Author : John Ladley
Publisher : Academic Press
ISBN 13 : 0128158328
Total Pages : 352 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Governance by : John Ladley

Download or read book Data Governance written by John Ladley and published by Academic Press. This book was released on 2019-11-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. Incorporates industry changes, lessons learned and new approaches Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations Includes new case studies which detail real-world situations Explores all of the capabilities an organization must adopt to become data driven Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy Provides up to 75% brand-new content compared to the first edition

Business Intelligence Guidebook

Author : Rick Sherman
Publisher : Newnes
ISBN 13 : 0124115284
Total Pages : 550 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Business Intelligence Guidebook by : Rick Sherman

Download or read book Business Intelligence Guidebook written by Rick Sherman and published by Newnes. This book was released on 2014-11-04 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.

The Enterprise Big Data Lake

Author : Alex Gorelik
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491931507
Total Pages : 224 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis The Enterprise Big Data Lake by : Alex Gorelik

Download or read book The Enterprise Big Data Lake written by Alex Gorelik and published by "O'Reilly Media, Inc.". This book was released on 2019-02-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries

Data Mesh

Author : Zhamak Dehghani
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492092363
Total Pages : 387 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Mesh by : Zhamak Dehghani

Download or read book Data Mesh written by Zhamak Dehghani and published by "O'Reilly Media, Inc.". This book was released on 2022-03-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Governance: The Definitive Guide

Author : Evren Eryurek
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492063460
Total Pages : 254 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Governance: The Definitive Guide by : Evren Eryurek

Download or read book Data Governance: The Definitive Guide written by Evren Eryurek and published by "O'Reilly Media, Inc.". This book was released on 2021-03-08 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.

Non-Invasive Data Governance

Author : Robert S. Seiner
Publisher : Technics Publications
ISBN 13 : 1634620453
Total Pages : 148 pages
Book Rating : 4.6/5 (346 download)

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Book Synopsis Non-Invasive Data Governance by : Robert S. Seiner

Download or read book Non-Invasive Data Governance written by Robert S. Seiner and published by Technics Publications. This book was released on 2014-09-01 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

The Self-Service Data Roadmap

Author : Sandeep Uttamchandani
Publisher :
ISBN 13 : 9781492075257
Total Pages : 350 pages
Book Rating : 4.0/5 (752 download)

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Book Synopsis The Self-Service Data Roadmap by : Sandeep Uttamchandani

Download or read book The Self-Service Data Roadmap written by Sandeep Uttamchandani and published by . This book was released on 2020-10-13 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Management at Scale

Author : Piethein Strengholt
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Data Management at Scale by : Piethein Strengholt

Download or read book Data Management at Scale written by Piethein Strengholt and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Process Mapping, Process Improvement, and Process Management

Author : Dan Madison
Publisher : Paton Professional
ISBN 13 : 1932828044
Total Pages : 313 pages
Book Rating : 4.9/5 (328 download)

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Book Synopsis Process Mapping, Process Improvement, and Process Management by : Dan Madison

Download or read book Process Mapping, Process Improvement, and Process Management written by Dan Madison and published by Paton Professional. This book was released on 2005 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: At last, a simple, well-written survey of process redesign that will help you transform your organization into a world-class competitor. Author Dan Madison explains the evolution of work management styles, from traditional to process-focused, and introduces the tools of process mapping, the roles and responsibilities of everyone in the organization, and a logical ten-step redesign methodology. Thirty-eight design principles allow readers to custom-fit the methodology to the particular challenges within their own organizations. Additional chapters by guest writers Jerry Talley, Ph.D., and Vic Walling, Ph.D., discuss cross-department process management and using computer simulation in redesign, respectively. (Publisher)

Big Data Management

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110664321
Total Pages : 180 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Big Data Management by : Peter Ghavami

Download or read book Big Data Management written by Peter Ghavami and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-11-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.