Data Analytics

Ad hoc analysis enables marketing teams to create customized one-off studies to quickly respond to specific needs using 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 that extracts, transforms, and loads data from different sources to create a unified and usable data warehouse.

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

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

Unstructured data represents complex and varied information that does not fit into traditional formats, requiring advanced technologies for its analysis and strategic use.

Key performance indicators (KPIs) enable companies to measure their strategic objectives, evaluate their performance, and make informed decisions.

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

Customer Lifetime Value (CLV) measures the total value a customer generates for a company throughout their business relationship by calculating their potential revenue over time.

Web analytics enables companies to understand user behavior on their website, measure performance, and strategically optimize the digital experience.

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

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

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

Big data refers to all technologies and methods used to collect, process, and analyze massive volumes of digital data from various sources in order to generate strategic insights.

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

A data warehouse centralizes and transforms enterprise data, enabling decision makers to effectively analyze their strategic information and make informed decisions.