Solution that combines the analysis of internal company data (e.g. sustainability reports) with data from the digital world (social media, reviews, forums) to enable a 360° assessment of ESG issues
Every day we collect more than 1 terabyte of alternative digital data from different sources (news, forums, social media, reviews, blogs, etc.).
Elements allowing to measure the level of internal compliance and external perception with respect to each single underlying sub-factor of the ESG world (e.g. micro-score on “carbon emission” of the “Environment” category)
We collect more than 1 terabyte of alternative digital data every day from various sources (news, forums, social media, reviews, blogs, and more)
We use artificial intelligence and human expertise to detect hidden information and signals in data, before they become mainstream
We enable automatic alert systems to keep you up to date with changes in the digital popularity and sentiment of the stocks we monitor, as well as to receive suggestions of new opportunities to watch out for.
Application of machine learning algorithms to the analysis of financial data from traditional sources (e.g. balance sheets, quarterly, half-yearly reports, public databases)
Digital identity card of companies and sectors to measure the degree of digital transformation and online presence of a company or sector
Assessment of the demographic aspect of the area in which the farm is located (e.g. is it close to seismic or hydrogeological risk zones).
Through sentiment analysis, we measure the impact of ongoing or emerging crises on individual companies, sectors or specific geographic areas (e.g. increased bankruptcies, crime, poverty).
We use AI logic to digitise, categorise and summarise documents/material of different natures for easy searching (e.g. text files, videos, audio recordings).
Integration of new alternative datasets and information from the digital world (e.g. positive/negative sentiment about a company and/or manager)
Support for traditional market research
Ideal solution for launching new products/services and opening up new markets
We analyse the needs and requirements expressed by users online
Leverage the power of artificial intelligence to activate the best channels and the right ways to reach them
The analysis of user behavioural data on digital properties provides information on the lead’s interests, which is then assigned a score that allows us to prioritise the contact.
Enable the network to sell new products to customers with a greater propensity to buy
Advanced machine learning techniques allow you to predict the future actions of each customer by analysing their purchase history, behaviours, characteristics and more.
Customers with similar characteristics are segmented so that higher value customers can be activated through specific marketing and communication actions.
Provide Credit & Risk Management with indicators that are more reliable and predictive, identifying default symptoms earlier and using new data sources in addition to traditional ones.
Implementation of a data-driven predictive model to measure the probability of the default event by combining Chamber of Commerce data and digital data.
In a POC implemented in 3 months, the ability to predict the default risk of companies was significantly improved.
Supporting investment specialists to enrich the monitoring of their investments with additional data as well as enabling the development of new products to be offered to the network.
We have created dashboards that follow the financial and digital trends of stocks already in the portfolio as well as monitoring lists based on emerging and/or specific market trends. These lists include companies linked to the Cloud world, food innovation, the Green Economy, etc. and are constantly updated.
Access to indicators that measure ESG performance by combining alternative and financial data.
Dedicated dashboard to monitor companies listed on the Scandinavian market in order to assess their ESG positioning against the individual categories and sub-categories of ISO 26000.
Digitising a large amount of documentation and multi-format content related to the valuation of NPL portfolios in order to facilitate rapid research and advanced management.
Operational flow directed at: acquisition and digitisation of the documentary material; analysis, comprehension, summarisation and self-cataloguing of texts according to levels of common characteristics.
-50% time spent on internal document search
Reduce the churn rate linked to specific retail products/services
Identified clusters of customers most likely to churn and their behavioural and interest characteristics in order to target specific favourable terms to discourage churn.
+12% QoQ churn rate
Acquiring leads in the professional insurance sector, increasing the quality in the collection of potential customers and defining an engagement/qualification model for contact management.
Construction of a lead generation flow based on behavioural scoring and classification of contacts on their likelihood to subscribe to the product.
+30% new customer acquisition rate YoY