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
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
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
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.
Budgeting and Forecasting
Budgeting and Forecasting are Advanced Analytics solutions that allow decision makers to eliminate inefficiency related to the budget’s definition, making the entire process agile. The developed solution allows the customer to have certified data and to overview the economic and financial situation of the company, reducing cost of business audit and, at the same time, minimizing the margin of error.
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 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.
