Data Analytics

Multidimensional analysis explores complex data across multiple dimensions simultaneously, revealing hidden patterns through advanced statistical techniques such as PCA and CFA.

Ad hoc analysis enables marketing teams to create customized ad hoc studies to respond rapidly to specific needs, thanks to business intelligence tools.

Business Intelligence transforms raw data into strategic insights, enabling companies to make informed decisions and optimize their operational performance.

ETL is an essential process for extracting, transforming and loading data from different sources to create a unified, usable data warehouse.

A data lake enables companies to store and analyze massive volumes of raw, structured and unstructured data, offering unique flexibility for data mining.

SQL, a structured query language, enables data to be efficiently stored, managed and queried in relational databases, providing professionals with a powerful tool for manipulation and analysis.

Unstructured data represents complex and varied information that escapes traditional formats, requiring advanced technologies for its analysis and strategic exploitation.

Predictive analysis transforms historical data into accurate marketing forecasts, enabling companies to anticipate customer behavior and optimize their strategies.

Customer Lifetime Value (CLV) measures the total value that a customer generates for a company over the course of a business relationship, by calculating potential revenues over time.

A data warehouse centralizes and transforms corporate data, enabling decision-makers to efficiently analyze their strategic information and make informed decisions.

Big data is the set of technologies and methods used to collect, process and analyze massive volumes of digital data from a variety of sources, in order to generate strategic insights.

Descriptive analysis reveals what has happened in your marketing data, using statistics and visualizations to guide your data-driven decisions.

Key Performance Indicators (KPIs) enable companies to measure their strategic objectives, assess their performance and make informed decisions.

Cohort analysis segments your users by common behaviors to measure retention, optimize acquisition and make marketing decisions based on reliable data.

Structured data transforms your marketing strategy by efficiently organizing information, enabling accurate analysis and powerful data-driven decisions.