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Advanced Analytics

Advanced Analytics

Technologies and analysis to measure the future
With ITReview’s advanced analytics solutions, organisations can look towards the future, being driven by data. This approach means mastering predictive analytics, mathematical algorithms and cutting-edge technological solutions. When applied to business, Advanced Analytics allow companies to configure possible future scenarios and adapt variables to best manage changes.

Process Mining

Process Mining

By reading IT system logs or by processing and transforming the digital traces of company activities, it is possible to reconstruct workflows and check the relative KPIs. It therefore becomes possible to analyse the processes linked to every company activity and intervene in order to best manage them.

Demand Planning

Demand Planning

Analyse and manage the company’s production planning process in relation to market demand, based on historical sales data.
It is possible to integrate data from your company’s ecosystem, enabling you to analyse multiple variables and make forecast scenarios more efficient

What if Analysis - Simulazione di scenari commerciali per la gestione del pricing

What If Analysis

The What if Analysis is an Advanced Analytics solution that allows, once that hypothesis had been formulated, to examine the behavior of a complex data system, or a part of it.
After a comprehensive study of the market and the client’s business scenario, the processes of interests are analyzed and the related analysis models are built.
The What if Analysis allows to investigate the variables and the outcomes of the models in accordance to the values attributed to them: it is possible to use levers – or variations of simulations – to understand the impact of change and reduce the uncertainty of decisions.

Advanced Integration: R – Python

Advanced Integration: R – Python

With certain analyses requiring particularly powerful mathematical calculation engines, we use programming languages like R or Python.
R is mainly used for statistical analysis, whereas Python provides a comprehensive approach to data science.
Thanks to API or other communication channels, we can integrate our advanced analytics models with these platforms, in synchronous or asynchronous mode.

Market Basket Analysis

Market Basket Analysis

Market Basket Analysis helps you to better understand your customers and their purchasing behaviour. It also allows you to predict dynamics based on the associations that emerge.
After a comprehensive study of your business, this analysis groups customers into clusters and allows you to understand which products drive sales based on the multiple dimensions of analysis and the related variables.

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