Home > Business and Economics > Business and Management > Management and management techniques > Knowledge management > Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
15%
Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

          
5
4
3
2
1

Out of Stock


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Notify me when this book is in stock
Add to Wishlist

About the Book

Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you.   Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes:   How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

Table of Contents:
Foreword xv Acknowledgments xviii About the Author xix Preface xxi Why Another Book on Analytics? xxi How This Book Is Organized xxii After Reading and Working Through This Book xxvi Chapter 1: Introduction 1 Raw Data, the New Oil 1 Data Big and Small Is Not New 2 Definition of Analytics 3 Top 10 Business Questions for Analytics 5 Financial Management 6 Customer Management 8 HR Management 11 Internal Operations 11 Vital Lessons Learned 12 Use Analytics 13 Reasons Why Analytics Are Not Used 13 Linking Analytics to Business 14 Business Analytics Value Chain 14 Integrated Approach 17 Hands-on Exercises 17 Reasons for Using KNIME Workflows 17 Conclusion 18 Chapter 2: Know Your Ingredients—Data Big and Small 21 Garbage in, Garbage out 21 Data or Big Data 22 Definition of Big Data 22 Data Types 23 Company Data 24 Individual Customer Data 31 Sensor Data 34 Syndicated Data 35 Data Formats 38 Structured, Poorly Structured, and Unstructured Data 39 Conclusion 42 Chapter 3: Data Management—Integration, Data Quality, and Governance 43 Data Integration 44 Data Quality 45 Data Security and Data Privacy 46 Data Security 47 Data Privacy 48 Data Governance 53 Data Preparation 56 Data Manipulation 58 Types of Data 58 Categorize Numerical Variables 59 Dummy Variables 60 Missing Values 60 Data Normalization 61 Data Partitions 62 Exploratory Data Analysis 64 Multidimensional Cube 65 Slicing 65 Dicing 65 Drilling Down/Up 66 Pivoting 66 Visualization of Data Patterns and Trends 66 Popularity of BI Visualization 66 Selecting a BI Visualization Tool    67 Beyond BI Visualizations 70 Conclusion 70 Chapter 4: Handle the Tools: Analytics Methodology and Tools 73 Getting Familiar with the Tools 73 Master Chefs Who Can’t Cook 74 Types of Analytics 75 Descriptive and Diagnostic Tools: BI Visualization and Reporting 75 Advanced Analytics Tools: Prediction, Optimization, and Knowledge Discovery 77 A Unified View of BI Analysis, Advanced Analytics, and Visualization 77 Two Ways of Knowledge Discovery 79 Types of Advanced Analytics and Applications 81 Analytics Modeling Tools by Functions 81 Modeling Likelihood 82 Modeling Groupings 86 Supervised Learning 87 Value Prediction 97 Other Models 102 Conclusion 111 Chapter 5: Analytics Decision-Making Process and the Analytics Deciders 115 Time to Take Off the Mittens 115 Overview of the Business Analytics Process (BAP) 116 Analytics Rapid Prototyping 120 Analytics Sandbox for Instant Business Insights 122 Analytics IT Sandbox Database 125 People and the Decision Blinders 125 Risks of Crossing the Chasms 126 The Medici Effect 127 Analytics Deciders 129 How to Find Analytics Deciders 130 Becoming an Analytics Decider 132 Conclusion 139 Chapter 6: Business Processes and Analytics (by Alejandro Simkievich) 141 Overview of Process Families 142 Enterprise Resource Planning 143 Customer Relationship Management 145 Product Lifecycle Management 147 Shortcomings of Operational Systems 147 Embedding Advanced Analytics into Operational Systems 150 Example 1: Forecast 152 Example 2: Improving Salesforce Decisions 154 Example 3: Engineers Get Instant Feedback on Their Design Choices 155 Conclusion 155 Chapter 7: Identifying Business Opportunities by Recognizing Patterns 157 Patterns of Group Behavior 157 Importance of Pattern Recognition in Business 158 Group Patterns by Clustering and Decision Trees 161 Three Ways of Grouping 162 Recognize Purchase Patterns: Association Analysis 167 Association Rules 167 Business Case 169 Patterns over Time: Time Series Predictions 173 Time Series Models 174 Conclusion 179 Chapter 8: Knowing the Unknowable 181 Unknowable Events 181 Unknowable in Business 182 Poor or Inadequate Data 185 Data with Limited Views 185 Business Case 186 Predicting Individual Customer Behaviors in Real-Time 192 Lever Settings and Causality in Business 197 Start with a High Baseline 199 Causality with Control Groups 199 Conclusion 201 Chapter 9: Demonstration of Business Analytics Workflows: Analytics Enterprise 203 A Case for Illustration 204 Top Questions for Analytics Applications 209 Financial Management 210 Human Resources 212 Internal Operations 213 Conclusion 218 Chapter 10: Demonstration of Business Analytics Workflows—Analytics CRM 219 Questions About Customers 220 Know the Customers 220 Actionable Customer Insights 222 Social and Mobile CRM Issues 226 CRM Knowledge Management 227 Conclusion 228 Chapter 11: Analytics Competencies and Ecosystem 231 Analytics Maturity Levels 233 Analytics Organizational Structure 234 The Centralized Model 236 The Consulting Model 237 The Decentralized Model 238 The Center of Excellence Model 239 Reporting Structures 241 Roles and Responsibilities 242 Analytics Roles 242 Business Strategy and Leadership Roles 243 Data and Quantitative Roles 247 Analytics Ecosystem 250 The In-House IT Function 250 External Analytics Advisory and Consulting Resources 251 Analytics Talent Management 256 Conclusion 260 Chapter 12: Conclusions and Now What? 263 Analytics Is Not a Fad 263 Acquire Rich and Effective Data 264 Start with EDA and BI Analysis 265 Gain Firsthand Analytics Experience 265 Become an Analytics Decider and Recruit Others 266 Empower Enterprise Business Processes with Analytics 266 Recognize Patterns with Analytics 267 Know the Unknowable 268 Imbue Business Processes with Analytics 269 Acquire Competencies and Establish Ecosystem 270 Epilogue 271 Appendix A: KNIME Basics 273 Data Preparation 274 Types of Variable Values 274 Dummy Variables 275 Missing Values 275 Data Partitions 277 Exploratory Data Analysis (EDA) 279 Multi-Dimensional Cube 279 Slicing 281 Dicing 281 Drilling Down or Up 281 Pivoting 281 Index 285    


Best Sellers


Product Details
  • ISBN-13: 9780133481501
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson FT Press
  • Depth: 25
  • Language: English
  • Returnable: N
  • Spine Width: 22 mm
  • Weight: 560 gr
  • ISBN-10: 0133481506
  • Publisher Date: 12 Jan 2015
  • Binding: Hardback
  • Height: 235 mm
  • No of Pages: 320
  • Series Title: Ft Press Analytics
  • Sub Title: Integrating Business Process, Big Data, and Advanced Analytics
  • Width: 165 mm


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
Pearson Education (US) -
Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA