學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
The Basics of Business Analytics
內容大綱
Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. Chapter 3 introduces analytical data mining and explains basic analytical operations using a detailed example. Managerial information and its applications in selected areas in enterprise are discussed. The use of business intelligence (BI) tools in the management of business processes and a company's strategy by means of a balanced scorecard are examined. The role of BI in strategic information management is also discussed.