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
Using Markov Chain to Forecast Sales Booking
內容大綱
We Sell Everything in Software' WSES Inc. is a products company and specializes in software solutions for different industries such as defense, clinical research, consumer goods, capital markets, security, banks, and insurance among others. One of the divisions of WSES focuses on enterprise software product. Every quarter, Jack Williams, CEO had to give forecast of sales to the stakeholders for the enterprise software product division. The forecast which he had given for the last quarter was USD 2.4 billion whereas the actual sales booking was only USD 1.48 Billion. Jack wanted more accurate forecasting of sales and he had a discussion with Michael Summers, the CFO. Michael explained to Jack that this was something which was not in his hand since he was taking the numbers from Ben Osborne, Vice President of Marketing. Ben explained to Jack that the process they were following was taking the last quarter's sales and adding their estimate of 1.5% to it. Jack did not approve of this method. He felt that since WSES has such rich sales data over the years, they should be having a way to hear what the data is saying. They engaged Mark, with Ph.D. in Statistics, to understand if they could find a structured way to forecast the sales number based on historical data available with WSES.