MARKETING ANALYTICS
Power a Marketing Analytics engine that leverages customer data points using a combination of advanced analytics and machine learning for spend optimization.
If data is not analyzed and activated, it is nothing more than an operational cost….. But if we move the data to a process of continuous analytics and data activation, it is the driver that allows us to create new sources of income, innovate, new business models, but always under the paradigm of greater customer knowledge and efficiency.
A CDP is so limited to keep up with your business that you MUST move to a Customer Data Architecture (CDA) to give you the flexibility and elasticity you need. Making Science has more than 15 years of experience in defining the best customer data architecture for your business.
Working with GCP services we have 4 reference architectures to fast-track any CDA project team.
A GCP Data Architecture for customers that have a Large volume of R/T processing
A GCP Data Architecture for customers that have a large volume of continuous processing
A GCP Data Architecture for customers that have a mid volume of continuous processing
A GCP DBT/ELT Data Architecture for customers that have a Low volume of batch processing
Google Technology
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer
AutoML
Vertex AI
Looker
Data Fusion
Workflow
Data Catalog
Data Lost Prevention
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