Restaurant Marketing Big Data Analytics

Restaurant Marketing Big Data Analytics

Moogilu designed, architected and built Big Data Analytics. There are hundreds of restaurants in the system and they generate a lot of web, social media, and ordering data – online and store. This data has huge value for trending, ad buy, and predictive analytics.
Here below are the project specifics:

Restaurant Marketing Big Data Analytics

Restaurant Marketing Big Data includes:

  • Design and Architecture of Big Data Analytics Engine uwing Hadoop, Hive, and Hbase
  • Online and in-store ordering trends by time of the day, week, month, quarter
  • Email Marketing Campaign Analysis
  • Social Media Campaign Analysis
  • Transactional Database integration for near real time Big Data Analtics – Updates every 5 minutes
  • Integration with Charting Software
  • Analytics Engine Portal
  • Home grown ETL software from transactional database to optimize read costs
  • Historical trend Analysis from week, quarters, to years

With Restaurant Marketing Big Data Analytics you can:

  • Trending by hour, day, month, quarter, year – peak traffic, low traffic
  • Ad buy during periods of low traffice and ordering
  • Avoid unnecessary Ad buys and promotions
  • Compare trends across two or more stores – root cause analysis thereof
  • Campaign performance measurement
  • Predict future demands based on past
  • Integrated view of Web, Social Media, and Email Marketing – What Ad buy or messaging works best?
  • Client Client Name
  • Date April 28, 2016
  • Tags Quality Assurance