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UID:

Format: 1 online resource

Edition: Second edition.

ISBN: 9781119302537 , 1119302536 , 9781119302520 , 1119302528 , 9781119302490 , 1119302498 , 111929858X , 9781119298588

Series Statement: Wiley & SAS business series

Content: "The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever. Learn how Hadoop can upgrade your data processing and storage Discover the many uses for social media data in analysis and communication Get up to speed on the latest in cloud technologies, data security, and more Prepare for emerging technologies and the future of business analytics Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data--Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now"--

Content: "In this second edition of Business Analytics for Managers, the authors provided an updated look at business analytics, focusing mainly on the subject of "big data" and the increased use of analytical information in real time processes. Though the 1E touches on these two subjects, there are new terms and theories in the analytics world that need to be reflected and made explicit in a second edition. Topics covered include: - Growing open-source technologies like Hadoop and their strengths and weaknesses compared to the traditional way of storing and processing data in a data warehouse - The impact of social media. Social media has both become a new data source that can be used for multiple analytical purposes, as well as a channel to deploy analytical results in. - Data security - Cloud technologies, and - Future trends"--

Note: Revised edition of the authors's Business analytics for managers, , Includes index. , The Business Analytics Model -- Business Analytics at the Strategic Level -- Development and Deployment of Information at the Functional Level -- Business Analytics at the Analytical Level -- Business Analytics at the Data Warehouse Level -- The Company's Collection of Source Data -- Structuring of a Business Analytics Competency Center -- Assessment and Prioritization of Business Analytics Projects -- Business Analytics in the Future.

Additional Edition: Print version: Laursen, Gert H.N. Business analytics for managers. Hoboken : Wiley, 2016 ISBN 9781119298588

Language: English

Keywords: Electronic books. ; Electronic books. ; Electronic books.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119302490

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119302490

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119302490

UID:

Format: 1 online resource (291 pages).

Edition: Second edition.

ISBN: 9781119302537 (e-book)

Series Statement: Wiley and SAS Business Series

Note: Includes index.

Additional Edition: Print version: Laursen, Gert H. N. Business analytics for managers : taking business intelligence beyond reporting. Hoboken, New Jersey : Wiley, c2017 ISBN 9781119298588

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: 1 online resource (1 volume) : , illustrations.

Edition: Second edition.

ISBN: 1-119-30253-6 , 1-119-30249-8

Series Statement: Wiley and SAS Business Series

Content: The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever. Learn how Hadoop can upgrade your data processing and storage Discover the many uses for social media data in analysis and communication Get up to speed on the latest in cloud technologies, data security, and more Prepare for emerging technologies and the future of business analytics Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data— Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now.

Note: Includes index. , Cover -- Title Page -- Copyright -- Contents -- Foreword -- Introduction -- What Is the Scope of Business Analytics? Information Systems-Not Technical Solutions -- Purpose and Audience -- Organization of Chapters -- Why the Term Business Analytics? -- Chapter 1 The Business Analytics Model -- Overview of the Business Analytics Model -- Strategy Creation -- Business Processes and Information Use -- Types of Reporting and Analytical Processes -- Data Warehouse -- Data Sources: IT Operations and Development -- Deployment of the Business Analytics Model -- Case Study: How to Make an Information Strategy for a Radio Station -- Summary -- Chapter 2 Business Analytics at the Strategic Level -- Link between Strategy and the Deployment of Business Analytics -- Strategy and Business Analytics: Four Scenarios -- Scenario 1: No Formal Link between Strategy and Business Analytics -- Scenario 2: Business Analytics Supports Strategy at a Functional Level -- Scenario 3: Dialogue between the Strategy and the Business Analytics Functions -- Scenario 4: Information as a Strategic Resource -- Which Information Do We Prioritize? -- The Product and Innovation Perspective -- Customer Relations Perspective -- The Operational Excellence Perspective -- Summary -- Chapter 3 Development and Deployment of Information at the Functional Level -- Case Study: A Trip to the Summerhouse -- Specification of Requirements -- Technical Support -- Off We Go to the Summerhouse -- Lead and Lag Information -- More about Lead and Lag Information -- Establishing Business Processes with the Rockart Model -- Example: Establishing New Business Processes with the Rockart Model -- Level 1: Identifying the Objectives -- Level 2: Identifying an Operational Strategy -- Level 3: Identifying the Critical Success Factors -- Level 4: Identifying Lead and Lag Information. , Optimizing Existing Business Processes -- Example: Deploying Performance Management to Optimize Existing Processes -- Concept of Performance Management -- Which Process Should We Start With? -- Customer Relationship Management Activities -- Campaign Management -- Product Development -- Web Log Analyses -- Pricing -- Human Resource Development -- Corporate Performance Management -- Finance -- Inventory Management -- Supply Chain Management -- Lean -- A Catalogue of Ideas with Key Performance Indicators for the Company's Different Functions -- Summary -- Chapter 4 Business Analytics at the Analytical Level -- Data, Information, and Knowledge -- Analyst's Role in the Business Analytics Model -- Three Requirements the Analyst Must Meet -- Business Competencies -- Tool Kit Must Be in Order (Method Competencies) -- Technical Understanding (Data Competencies) -- Required Competencies for the Analyst -- Analytical Methods (Information Domains) -- How to Select the Analytical Method -- The Three Imperatives -- Descriptive Statistical Methods, Lists, and Reports -- Hypothesis-Driven Methods -- Tests with Several Input Variables -- Data Mining with Target Variables -- Data Mining Algorithms -- Explorative Methods -- Data Reduction -- Cluster Analysis -- Cross-Sell Models -- Up-Sell Models -- Business Requirements -- Definition of the Overall Problem -- Definition of Delivery -- Definition of Content -- Summary -- Chapter 5 Business Analytics at the Data Warehouse Level -- Why a Data Warehouse? -- Architecture and Processes in a Data Warehouse -- Selection of Certain Columns To Be Loaded -- Staging Area and Operational Data Stores -- Causes and Effects of Poor Data Quality -- The Data Warehouse: Functions, Components, and Examples -- Alternative Ways of Storing Data -- Business Analytics Portal: Functions and Examples -- Tips and Techniques in Data Warehousing. , Master Data Management -- Service-Oriented Architecture -- How Should Data Be Accessed? -- Access to Business Analytics Portals -- Access to Data Mart Areas -- Access to Data Warehouse Areas -- Access to Source Systems -- Summary -- Chapter 6 The Company's Collection of Source Data -- What Are Source Systems, and What Can They Be Used For? -- Which Information Is Best to Use for Which Task? -- When There Is More Than One Way to Get the Job Done -- When the Quality of Source Data Fails -- Summary -- Chapter 7 Structuring of a Business Analytics Competency Center -- What Is a Business Analytics Competency Center? -- Why Set Up a Business Analytics Competency Center? -- Tasks and Competencies -- Establishing an Information Wheel -- Creating Synergies between Information Wheels -- Educating Users -- Prioritizing New Business Analytics Initiatives -- Competencies -- Centralized or Decentralized Organization -- Strategy and Performance -- When the Analysts Report to the IT Department -- When Should a Business Analytics Competency Center Be Established? -- Applying the Analytical Factory Approach -- Summary -- Chapter 8 Assessment and Prioritization of Business Analytics Projects -- Is It a Strategic Project or Not? -- Uncovering the Value Creation of the Project -- When Projects Run Over Several Years -- When the Uncertainty Is Too Big -- The Descriptive Part of the Cost/Benefit Analysis for the Business Case -- The Cost/Benefit Analysis Used for the Business Case -- Projects as Part of the Bigger Picture -- Case Study on How to Make an Information Strategy Roadmap -- Summary -- Chapter 9 Business Analytics in the Future -- About the Authors -- Index -- EULA. , Access using campus network via VPN at home (THEi Users Only).

Additional Edition: ISBN 1-119-30252-8

Additional Edition: ISBN 1-119-29858-X

Language: English