Self-Service Data Analytics and Governance for Managers

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Release : 2021-06-02
Genre : Business & Economics
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Book Rating : 296/5 ( reviews)

Self-Service Data Analytics and Governance for Managers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Self-Service Data Analytics and Governance for Managers write by Nathan E. Myers. This book was released on 2021-06-02. Self-Service Data Analytics and Governance for Managers available in PDF, EPUB and Kindle. 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 Data Analytics and Governance for Managers

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Author :
Release : 2021-05-12
Genre : Business & Economics
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Book Rating : 30X/5 ( reviews)

Self-Service Data Analytics and Governance for Managers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Self-Service Data Analytics and Governance for Managers write by Nathan E. Myers. This book was released on 2021-05-12. Self-Service Data Analytics and Governance for Managers available in PDF, EPUB and Kindle. 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 Self-Service Data Roadmap

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Release : 2020-09-10
Genre : Computers
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Book Rating : 205/5 ( reviews)

The Self-Service Data Roadmap - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Self-Service Data Roadmap write by Sandeep Uttamchandani. This book was released on 2020-09-10. The Self-Service Data Roadmap available in PDF, EPUB and Kindle. 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

Self-Service Analytics Simplified

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Release : 2019-07-11
Genre :
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Book Rating : 355/5 ( reviews)

Self-Service Analytics Simplified - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Self-Service Analytics Simplified write by Arshad Khan. This book was released on 2019-07-11. Self-Service Analytics Simplified available in PDF, EPUB and Kindle.

Performance Dashboards

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Release : 2005-10-27
Genre : Business & Economics
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Book Rating : 659/5 ( reviews)

Performance Dashboards - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Performance Dashboards write by Wayne W. Eckerson. This book was released on 2005-10-27. Performance Dashboards available in PDF, EPUB and Kindle. 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.