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Data Specification

The Alvíss AI application has a set of strict requirements on the types of data it can work with. This section will run you through the file formats, conventions, and assumptions that
this application is operating under. The application supports models, data, and insights on a granular level.

  • Alvíss AI is a flexible platform that allows you to add various data sources you need for your specific business.
  • We support Sales, Price, Media, Customer Experience, Brand, Visits, Events, Macro, Competitor, and Weather data out of the box.
  • Each of these data sources needs to adhere to a specification in order for the platform to understand them.
  • While it’s possible and recommended to add all the data sources you can get your hands on, the only requirement is “Sales”. This means you can start out simple and move to a more complex setup later.

Data explanation

Alvíss AI needs a number of data sources to function properly. The main
data sources supported are:

  • Sales: The most important file, and actually the only one required. It contains the number of units sold and the price the consumer paid for them.
  • Distribution: Contains information about distribution like number of stores, sales agents, offices, etc.
  • Brand: Information about your brand, like awareness, liking, penetration, consideration, etc. This is also where Customer Experience related tracking goes.
  • Events: This captures all kinds of events, which extend over a given period of time. Could be events like Force Majeure or other extraordinary events.
  • Visits: This is information about footfall in stores, visits to a website, or any other measurement of traffic.
  • Macro: This data type supports all kinds of macroeconomic data, like unemployment rate, consumer confidence, consumer price index, interest rates, and currency exchange rates.
  • Media: Media investments and media groupings for all media related impressions and campaigns.

Note

These data sources have a specific File Format that needs to be adhered to in order for the application to understand them.

Note

The data sources need to have a coherent data Periodicity meaning that the values need to be observed and registered in the same interval.