System, method, and apparatus for data collection and aggregation

A system for meeting a healthcare need of a pet comprising:

• at least one processor;
• and
• at least one memory comprising computer program code;
• wherein the computer program code is configured, when executed by the at least one processor, to cause the system to:
• collect data from a plurality of disparate data sources associated with a plurality of platforms or devices, wherein the collected data comprise at least particular pet behavior specific to a species of the pet, and wherein the particular pet behavior indicates one or more symptoms associated with a health condition of the pet, and wherein the collected data from the disparate sources have different formats;
• aggregate the collected data from the plurality of disparate data sources in a data lake, comprising resolving an identity of the pet by linking a plurality of identifiers associated with the pet from the plurality of disparate data sources and transforming the collected data with different formats into a cohesive format;
• transmit the aggregated data to a secured area isolated from external networks;
• within the secured area:
• clear personal identification information from the aggregated data;
• sort the cleared data into one or more datasets based on one or more attributes of the pet or an owner of the pet;
• and
• generate, from the data included in the one or more datasets, hashed data associated with the pet and hashed data associated with the owner of the pet based on one or more hash algorithms;
• create a profile of the pet by matching the hashed data associated with the pet across the disparate data sources, wherein the profile of the pet comprises a healthcare need of the pet associated with the health condition of the pet;
• execute a machine learning algorithm to process the profile of the pet and previous behaviors of the owner of the pet to determine a pet product to help fulfill the healthcare need of the pet associated with the health condition of the pet;
• predict, using the machine learning algorithm, a target audience comprising the owner of the pet for an advertisement of the pet product, wherein the predict comprises an analysis of covariance, comprising:
• evaluate whether a plurality of means of a dependent variable are equal across a plurality of levels of a categorical independent variable;
• control for a plurality of effects from a plurality of other variable;
• wherein the analysis of covariance is used in either a pre-test or post-test analysis;
• using the plurality of identifiers, target, across the plurality of platforms or devices associated with the plurality of disparate data sources where the data is collected from the owner of the pet with the advertisement of the pet product, wherein the owner of the pet is targeted at least through a terminal device comprising one or more of a computer, a mobile device, or a pet tracking device;
• determine a size of the advertisement based on a number of pixels on a display of the terminal device that the advertisement can occupy;
• and
• display the advertisement based on the determined size through the display of the terminal device.