BIG DATA ANALYTICS

A DATA DRIVEN APPROACH


Whatever your project, relying on objective numbers and statistics is a first step to measure your communication and operational effectiveness. The second is knowing how to properly construe them by creating virtuous and winning models capable of generating profit.

DATA SCIENCE

Statistics + Data Analysis + Machine Learning = Data Science. It is an interdisciplinary field aimed at retrieving information from data – regardless of the type, format and size – thus creating models that can help companies make predictions, improve optimisation, operations and decision-making processes.
We collect data (company DBs, web scraping or third-party sources), process them, create models (through data mining and machine learning techniques) and, finally, provide results (through charts and ad-hoc presentations).


DATA ANALYSIS

Collecting data, analysing them, creating KPIs (Key Performance Indicators) and, last but not least, devising and designing a web marketing strategy. Through web analytics but also data from third-party sources, you can compare information about the use of your digital services, set it side by side with competitors’ data (benchmarks), and create the most appropriate metrics (KPIs) to measure your effectiveness with. An analysis and self-analysis path which is based on objective data as well as comparable parameters, achieved with specific software and accounted for to customers by leveraging the expertise of Laser’s specialised resources.