To efficiently track the performance of digital marketing actions, it is essential to carry out performance indicators. These metrics are essential to know the performance of each action and make the right decisions. The project consists of creating an index through predictive models that, using machine learning, historical data collection, Big Data and pattern recognition, allows predicting future results. This index will be used to refine decision-making and recommend whether or not to invest in initiatives introduced on the platform.
The algorithm to be implemented will allow the re-training of the predictive model, allowing the artificial intelligence to learn from new cases and from its previous predictions. The indicators must be quantifiable, periodic or temporary, and measurable. For this, a database focused on networking and marketing campaign statistics, among other data, will be used.
Usage of Standards for data interoperability:
JSON (JavaScript Object Notation): This standard will be used for data exchange in JSON format, which is widely supported and commonly used in web applications and RESTful APIs.
RESTful API (Representational State Transfer Application Programming Interface): This standard will be used for designing application programming interfaces (APIs) following the principles of the REST architecture, which is a widely adopted approach for creating scalable and interoperable web services.
OData (Open Data Protocol): Will be used for exposing and consuming data through web services, providing a standardised way to describe, access, and update data over HTTP/HTTPS.
GDPR (General Data Protection Regulation): This European Union regulation will be adhered to for data protection and privacy requirements, including ensuring that personal data is collected, processed, and stored in compliance with applicable data protection laws.