Project Title: Predictive models for market capitalization of Advertising companies

Standard Media Index (SMI)

Details
Project Title Predictive models for market capitalization of Advertising companies
Project Topics
Skills & Expertise
Project Synopsis: Challenge/Opportunity
Standard Media Index (SMI) is one of the market's leading data and analytics companies that provides advertising, pricing, and spend data. SMI accesses actual spending from some of the world's largest media buying groups and leading independents, and then organizes that data into an easy-to-use database for clients and agency partners. Detailed ad intelligence is provided across television, OTT, digital, out-of-home, print, and radio media. This data can be segmented based on a variety of other factors, including but not limited to ad types, unit cost, and product categories.With digital media on a rapid and continuous rise, traditional media measurement systems for audience and advertising activity are facing disregard andlacking information. SMIoffersa solution to this issue through a suite of specialized products depending on what information a client needs. SMI accounts forover 90% of all agencies spend in the US. 



Clients utilize SMI data in a variety of different ways, including the development of media mix models, generation of competitive benchmarks, and viewing pricing level data across markets. Other beneficial utilizations of SMI are identifying market trends at a product category level, gauging the profitability of publicly traded companies, and assessing the return on investment of sporting events.

Project Scope
  • The students will need to develop a methodology to predict advertising revenues/bookings for Social Media companies. They will use the SMI’s database. 
  • Then they will need to use Part models with real market data from Yahoo Finance and Bloomberg’s databases and develop combined models to predict market capitalization for Social Media Companies. 
  • Students will finally develop a methodology to predict positive/negative signals for the next quarter’s performance of the stock.

Objectives & Deliverables
  • Download data from SMI platform & Develop a methodology for forecasting Advertising revenues/bookings (3 weeks)
  • Download market data from Yahoo/Bloomberg & Develop a predictive model of the market value for the next four quarters for 100 top advertising companies by revenue or market capitalization (5 weeks)
  • Validate the model and present the report/presentation/results/signals methodology (4 weeks)

Development Language Preferences
  • Python
  • R
  • Rapid Miner

Team Skills Preference
  • Strong Data science skills
  • Finance skills
  • Python or R or other data science platforms Rapid miner, Dataiku
Project Synopsis: Activities/Actions Required
Project Synopsis: Expected Results

Project Timeline

Touchpoints & Assignments Date Type

First Day of Classes

Sep 01 2022 Reminder

COPA Office Resources

Sep 01 2022 Reminder

Initial Team Meetings

Sep 06 2022 Reminder

Program Manager Outreach

Sep 16 2022 Reminder

Temperature Check #1

Oct 07 2022 Submission Required

Midterm Presentations

Oct 17 2022 Event

Midterm Presentation Submission

Oct 28 2022 Submission Required

Temperature Check #2

Nov 11 2022 Submission Required

Final Presentations

Dec 05 2022 Event

Looking to update your resume?

Dec 22 2022 Not Required

Post Engagement Survey

Dec 22 2022 Submission Required

Final Presentation Submission

Jan 09 2023 Submission Required

Program Managers

Name Organization
Christina Alwell Herbal Vineyards