rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Essentials of Business Analytics
    sub title: An Introduction to the Methodology and its Applications
  name:
    name part: Pochiraju, Bhimasankaram.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Seshadri, Sridhar.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVI, 980 pages 278 illustrations, 191 illustrations in color.)
  abstract: This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.
  table of contents: Chapter 1. Introduction -- Chapter 2. Data Collection -- Chapter 3. Data Management - Relational Database Systems (RDBMS) -- Chapter 4. Big Data Management -- Chapter 5. Data Visualization -- Chapter 6. Statistical Methods-Basic inferences -- Chapter 7. Statistical Methods-Regression -- Chapter 8. Advanced Regression Analysis -- Chapter 9. Text Analytics -- Chapter 10. Simulation -- Chapter 11. Introduction to Optimization -- Chapter 12. Forecasting Analytics -- Chapter 13. Count Data Regression -- Chapter 14. Survival Analysis -- Chapter 15. Machine Learning (Unsupervised) -- Chapter 16. Machine Learning (Supervised) -- Chapter 17. Deep Learning -- Chapter 18. Retail Analytics -- Chapter 19. Marketing Analytics -- Chapter 20. Financial Analytics -- Chapter 21. Social Media and Web Analytics -- Chapter 22. Healthcare Analytics -- Chapter 23. Pricing Analytics -- Chapter 24. Supply Chain Analytics -- Chapter 25. Case study: Ideal Insurance -- Chapter 26. Case study: AAA Airline -- Chapter 27. Case study: Informedia Solutions -- Chapter 28. Appendix 1: Introduction to R -- Chapter 29. Appendix 2: Introduction to Python -- Chapter 30. Appendix 3: Probability and Statistics.-.
  note: edited by Bhimasankaram Pochiraju, Sridhar Seshadri.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Statistics
  subject:
    topic: Big data
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Big Data/Analytics
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 264
  identifier: 9783319688374
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 190710
    record change date: 20230330185505.7
    record identifier: in00004394667