Data Management Strategy At Microsoft

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Data Management Strategy at Microsoft

Author : Aleksejs Plotnikovs
Publisher : Packt Publishing Ltd
ISBN 13 : 1835466931
Total Pages : 270 pages
Book Rating : 4.8/5 (354 download)

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Book Synopsis Data Management Strategy at Microsoft by : Aleksejs Plotnikovs

Download or read book Data Management Strategy at Microsoft written by Aleksejs Plotnikovs and published by Packt Publishing Ltd. This book was released on 2024-07-19 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage your data as a business asset, from readiness to actionable insights, and drive exceptional performance Key Features Learn strategies to create a data-driven culture and align data initiatives with business goals Navigate the ever-evolving business landscape with a modern data platform and unique Data IP Surpass competitors by harnessing the true value of data and fostering data literacy in your organization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicrosoft pioneered data innovation and investment ahead of many in the industry, setting a remarkable standard for data maturity. Written by a data leader with over 15 years of experience following Microsoft’s data journey, this book delves into every crucial aspect of this journey, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture. This book emphasizes that success in a data-driven enterprise goes beyond relying solely on modern technology and highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices. You’ll see how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners who rely on data daily for their operational needs. This guide empower these professionals with clean, easily discoverable, and business-ready data, marking a significant breakthrough in how data is perceived and utilized throughout an enterprise. You’ll also discover advanced techniques to nurture the value of data as unique intellectual property, and differentiate your organization with the power of data. Its storytelling approach and summary of essential insights at the end of each chapter make this book invaluable for business and data leaders to advocate for crucial data investments.What you will learn Develop a data-driven roadmap to achieve significant and quantifiable business goals Discover the ties between data management and change management Explore the data maturity curve with essential technology investments Build, safeguard, and amplify your organization's unique Data Intellectual Property Equip business leaders with trustworthy and high value data for informed decision-making Unleash the value of data management and data governance to uplift your data investments Who this book is for This book is for data leaders, CDOs, CDAOs, data practitioners, data stewards, and enthusiasts, as well as modern business leaders intrigued by the transformative potential of data. While a technical background isn't essential, a basic understanding of data management and quality concepts will be helpful. The book avoids twisted technical, engineering, or data science aspects, making it accessible and insightful for data engineers and data scientists to gain a wider understanding of enterprise data needs and challenges.

Enterprise Cloud Strategy

Author : Barry Briggs
Publisher : Microsoft Press
ISBN 13 : 1509301992
Total Pages : 228 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis Enterprise Cloud Strategy by : Barry Briggs

Download or read book Enterprise Cloud Strategy written by Barry Briggs and published by Microsoft Press. This book was released on 2016-01-07 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage.

Microsoft Data Mining

Author : Barry de Ville
Publisher : Digital Press
ISBN 13 : 9781555582425
Total Pages : 344 pages
Book Rating : 4.5/5 (824 download)

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Book Synopsis Microsoft Data Mining by : Barry de Ville

Download or read book Microsoft Data Mining written by Barry de Ville and published by Digital Press. This book was released on 2001-05 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".

DAMA-DMBOK

Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.6/5 (223 download)

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Book Synopsis DAMA-DMBOK by : Dama International

Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Data Management at Scale

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109813883X
Total Pages : 412 pages
Book Rating : 4.0/5 (981 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 2023-04-10 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Effective Strategy Execution

Author : Bernd Heesen
Publisher : Springer Nature
ISBN 13 : 3662688077
Total Pages : 288 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Effective Strategy Execution by : Bernd Heesen

Download or read book Effective Strategy Execution written by Bernd Heesen and published by Springer Nature. This book was released on with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Managing and Recovering Microsoft 365 Data

Author : Brien Posey
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis Managing and Recovering Microsoft 365 Data by : Brien Posey

Download or read book Managing and Recovering Microsoft 365 Data written by Brien Posey and published by . This book was released on 2021 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: With more employees working remotely today, Microsoft 365 has become a go-to solution for many companies. But protecting the data you create with this cloud-based software as a service (SaaS) is a shared responsibility: while Microsoft takes care of the underlying infrastructure, organizations are responsible for managing and protecting their own data. Microsoft 365 provides several options for backing up your data, but choosing the right solution can be difficult. In this short report, 19-time Microsoft MVP Brien Posey takes management-level users through potential data-loss threats, such as ransomware and employee mistakes. You'll then dive into the pros and cons of Microsoft's native data management tools and assess several options for architecting a Microsoft 365 backup strategy. Explore Microsoft 365 recovery tools, including their limitations Understand how Microsoft 365's shared responsibility model works Take a quick tour of Microsoft's native data management tools Learn about potential data-loss threats, including both external and internal risks Design a backup strategy for your data by determining which Microsoft 365 capabilities you need.

The Microsoft Data Warehouse Toolkit

Author : Joy Mundy
Publisher : John Wiley & Sons
ISBN 13 : 1118067959
Total Pages : 698 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis The Microsoft Data Warehouse Toolkit by : Joy Mundy

Download or read book The Microsoft Data Warehouse Toolkit written by Joy Mundy and published by John Wiley & Sons. This book was released on 2011-02-25 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming “Business Intelligence release” of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance. Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book The accompanying Web site contains all code samples as well as the sample database used throughout the case studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.

Construction of a master data management strategy. Methodologies and tools

Author : Florette Chamga
Publisher : GRIN Verlag
ISBN 13 : 3668335583
Total Pages : 27 pages
Book Rating : 4.6/5 (683 download)

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Book Synopsis Construction of a master data management strategy. Methodologies and tools by : Florette Chamga

Download or read book Construction of a master data management strategy. Methodologies and tools written by Florette Chamga and published by GRIN Verlag. This book was released on 2016-11-07 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2016 in the subject Computer Science - Commercial Information Technology, grade: 1,7, Heilbronn University, course: Seminar IT Systems, language: English, abstract: In a world governed by mobile internet and characterized by an increasing number of active customers on the way, companies have to face the difficulty of implementing an adequate strategy for proper master data management. The drastic increase in active mobile connection of both companies and customers leads to rapid master data growth and therefore points out the necessity of implementing a management strategy. The construction of a master data management strategy implies the interaction of different tools and methodologies. Starting with an overview of existing literature and limiting itself within the given scope, the present review then handles the interaction proper. This constitutes the essential component of this work.

The Microsoft Data Warehouse Toolkit

Author : Joy Mundy
Publisher : John Wiley & Sons
ISBN 13 : 0470007362
Total Pages : 795 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis The Microsoft Data Warehouse Toolkit by : Joy Mundy

Download or read book The Microsoft Data Warehouse Toolkit written by Joy Mundy and published by John Wiley & Sons. This book was released on 2007-03-22 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: Planning a small to mid-range data warehouse project; Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. About the Authors JOY MUNDY has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems. WARREN THORNTHWAITE has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan. RALPH KIMBALL, PH.D., has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known authors, speakers, consultants, and teachers on data warehousing. He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine.

Data Lifecycles

Author : Roger Reid
Publisher : John Wiley & Sons
ISBN 13 : 0470028718
Total Pages : 268 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Data Lifecycles by : Roger Reid

Download or read book Data Lifecycles written by Roger Reid and published by John Wiley & Sons. This book was released on 2007-01-11 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Businesses now rely almost entirely on applications and databases, causing data and storage needs to increase at astounding rates. It is therefore imperative for a company to optimize and simplify the complexity of managing its data resources. Plenty of storage products are now available, however the challenge remains for companies to proactively manage their storage assets and align the resources to the various departments, divisions, geographical locations and business processes to achieve improved efficiency and profitability. Data Lifecycles identifies ways to incorporate an intelligent service platform to manage and map the storage of data. The authors give an overview of the latest trends and technologies in storage networking and cover critical issues such as world-wide compliance. Data Lifecycles: Provides a single-source guide to data and storage methodologies, processes, technologies and compliance issues. Addresses the need of an encompassing intelligent data and storage management platform for modern businesses. Gives an overview of the latest data technologies and concepts such as utility computing and information lifecycle management. Clearly defines and describes lifecycle management and strategies to ensure growth of critical business data. Shows how to dramatically reduce the total cost of storage ownership and provide rapid return on investment. Enables customers to make decisions directed toward the purchase of storage tools and storage management solutions. This text is an ideal introduction to modern data lifecycle management for network managers, system administrators, storage/system architects, network managers, information management directors as well as CIO/CTOs and their teams, senior IT managers and decision makers, and database administrators.

Microsoft? Data Warehousing

Author : Robert S. Craig
Publisher : Wiley
ISBN 13 : 9780471327615
Total Pages : 0 pages
Book Rating : 4.3/5 (276 download)

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Book Synopsis Microsoft? Data Warehousing by : Robert S. Craig

Download or read book Microsoft? Data Warehousing written by Robert S. Craig and published by Wiley. This book was released on 1999-04-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft(r) Data Warehousing, Building Distributed Decision Support Systems, Robert S. Craig Joseph A. Vivona, David Bercovitch. Foreword by Judith Hurwitz, Robert S. Craig, Joseph A. Vivona, David Bercovitch. Foreword by Judith Hurwitz, SQL Server 7.0's exciting new features and components make it the data warehousing tool par excellence. In Microsoft Data Warehousing, experts Robert Craig, Joseph Vivona, and David Bercovitch show database administrators and developers how to use Microsoft's new generation of powerful DSS technologies to create dynamic, highly scalable data marts and warehouses tailored to their companies' current and future decision support requirements. In the first part of the book, the authors provide a detailed description of the data warehouse process based on the five environments that make up an integrated DSS. In Part II, they acquaint you with SQL Server 7.0 components and related Microsoft tools and then show you, step-by-step, how to best utilize them to design, develop, implement, and manage a multi-tier distributed decision-support application within each environment. You get detailed hands-on guidance for: * Data extraction processes and tools. * How to define the most appropriate decision support architecture. * Different DSS tools for the Desktop including EIS, Data Mining, Extended Reporting, and Managed Query. * Configuring SQL Server 7.0 for implementation, table definition, indexing strategies, query processing, and managing and enhancing performance. * The role of Microsoft Repository in design, development, and management and its support of UML. * How to achieve integration across the environments with OLE DB for OLAP and its key APIs. * Client access using Excel, Visual Basic, Java, English Query, and other query and analysis tools with SQL Server 7.0. * How to leverage the data in the data warehouse once it's built with various analysis scenarios such as customer relationship management, market basket, and market share.

Applied Microsoft Business Intelligence

Author : Patrick LeBlanc
Publisher : John Wiley & Sons
ISBN 13 : 111896179X
Total Pages : 432 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Applied Microsoft Business Intelligence by : Patrick LeBlanc

Download or read book Applied Microsoft Business Intelligence written by Patrick LeBlanc and published by John Wiley & Sons. This book was released on 2015-05-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the integration of SQL Server and Office for more effective BI Applied Microsoft Business Intelligence shows you how to leverage the complete set of Microsoft tools—including Microsoft Office and SQL Server—to better analyze business data. This book provides best practices for building complete BI solutions using the full Microsoft toolset. You will learn how to effectively use SQL Server Analysis and Reporting Services, along with Excel, SharePoint, and other tools to provide effective and cohesive solutions for the enterprise. Coverage includes BI architecture, data queries, semantic models, multidimensional modeling, data analysis and visualization, performance monitoring, data mining, and more, to help you learn to perform practical business analysis and reporting. Written by an author team that includes a key member of the BI product team at Microsoft, this useful reference provides expert instruction for more effective use of the Microsoft BI toolset. Use Microsoft BI suite cohesively for more effective enterprise solutions Search, analyze, and visualize data more efficiently and completely Develop flexible and scalable tabular and multidimensional models Monitor performance, build a BI portal, and deploy and manage the BI Solution

Introducing Microsoft Power BI

Author : Alberto Ferrari
Publisher : Microsoft Press
ISBN 13 : 1509302751
Total Pages : 453 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis Introducing Microsoft Power BI by : Alberto Ferrari

Download or read book Introducing Microsoft Power BI written by Alberto Ferrari and published by Microsoft Press. This book was released on 2016-07-07 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. Be sure to watch for the publication of Alberto Ferrari and Marco Russo's upcoming retail book, Analyzing Data with Power BI and Power Pivot for Excel (ISBN 9781509302765). Go to the book's page at the Microsoft Press Store here for more details:http://aka.ms/analyzingdata/details. Learn more about Power BI at https://powerbi.microsoft.com/.

Microsoft PerformancePoint 2007 For Dummies

Author : Rachel Blum
Publisher : John Wiley & Sons
ISBN 13 : 0470440082
Total Pages : 325 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Microsoft PerformancePoint 2007 For Dummies by : Rachel Blum

Download or read book Microsoft PerformancePoint 2007 For Dummies written by Rachel Blum and published by John Wiley & Sons. This book was released on 2008-11-24 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft PerformancePoint provides you with an integrated performance management application that enables you to better plan, analyze and monitor how your business is doing. It gives decision-makers in your company more control. Microsoft PerformancePoint 2007 For Dummies® shows you how to utilize this powerful tool so you can gain insights, monitor results, and resolve business problems. Even if it’s your first look at a business performance management system, you’ll find this handy guide makes you look like a pro! You’ll find out how to set goals, create plans to get you there, and produce reports to track your progress. You’ll also discover how to: Develop a plan and set goals to drive performance and accelerate business decision-making Configure security features to protect your information Navigate the reporting interface to quickly find the data that will help you make the right decisions Use different data source types Create key performance indicators to find out how your business is really doing Work with dashboards and scorecards to quickly view business-critical information Get the most out of Microsoft Office PerformancePoint so you can dramatically enhance your performance management. With Microsoft PerformancePoint 2007 For Dummies, you’ll find out how as you keep your business activities in line with corporate strategies.

Reinventing Jobs

Author : Ravin Jesuthasan
Publisher : Harvard Business Press
ISBN 13 : 1633694089
Total Pages : 217 pages
Book Rating : 4.6/5 (336 download)

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Book Synopsis Reinventing Jobs by : Ravin Jesuthasan

Download or read book Reinventing Jobs written by Ravin Jesuthasan and published by Harvard Business Press. This book was released on 2018-09-18 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Optimize Human-Machine Work Combinations Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions. Transcending the endless debate about humans being replaced by machines, Jesuthasan and Boudreau show how smart leaders instead are optimizing human-automation combinations that are not only more efficient but also generate higher returns on improved performance. Based on groundbreaking primary research, Reinventing Jobs provides an original, structured approach of four distinct steps--deconstruct, optimize, automate, and reconfigure--to help leaders reinvent how work gets bundled into jobs and create optimal human-machine combinations. Jesuthasan and Boudreau show leaders how to continuously reexamine what a job really is, and they provide the tools for identifying the pivotal performance value of tasks within jobs and how these tasks should be reconstructed into new, more optimal combinations. With numerous examples and practical advice for applying the four-step process, Reinventing Jobs gives leaders a more precise, planful, and actionable way to decide how, when, and where to apply and optimize work automation.

Predictive Analytics with Microsoft Azure Machine Learning

Author : Valentine Fontama
Publisher : Apress
ISBN 13 : 148420445X
Total Pages : 178 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Predictive Analytics with Microsoft Azure Machine Learning by : Valentine Fontama

Download or read book Predictive Analytics with Microsoft Azure Machine Learning written by Valentine Fontama and published by Apress. This book was released on 2014-11-25 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis. The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter. The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.