SOLUTIONS FOR THE FINANCIAL SECTOR

Data driven solutions for the financial sector

Artificial Intelligence, data and multi-disciplinary skills at the service of Finance & Banking operators

Find new investment ideas

ESG and risk assessment scoring

High-value enriched information

Area ESG

ESG Area

We assess the impact of esg policies on individual companies and/or sectors by integrating alternative data to that stated in sustainability reports/reports

APPLICATION AREAS

  • Support for unlisted companies to integrate sustainability-related evaluation factors
  • Development and management of an action plan with prioritisation of actions to improve the company’s positioning on ESG issues

KEY FACTORS

INTEGRATED APPROACH
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

DIGITAL KNOWLEDGE APPLIED TO FINANCE SECTOR
Every day we collect more than 1 terabyte of alternative digital data from different sources (news, forums, social media, reviews, blogs, etc.).

MICRO-SCORE
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)

Area Investment

Investment Area

We integrate Alternative Data solutions into asset specialist structures to support both investment monitoring and the generation of new opportunities.

APPLICATION AREAS

  • Credit risk assessment for SMEs and real estate funds
  • Sector analysis and identification of non-standard emerging sectors

KEY FACTORS

DIGITAL KNOWLEDGE APPLIED TO FINANCE
We collect more than 1 terabyte of alternative digital data every day from various sources (news, forums, social media, reviews, blogs, and more)

INFORMATIONAL ADVANTAGE
We use artificial intelligence and human expertise to detect hidden information and signals in data, before they become mainstream

REAL-TIME UPDATES
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.

Area Credit

Area Credit

We innovate credit risk assessment using artificial intelligence

APPLICATION AREAS

  • Credit risk assessment for SMEs and real estate funds
  • Sector analysis and identification of non-standard emerging sectors

KEY FACTORS

CREDIT SCORE
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 RISK FACTOR
Digital identity card of companies and sectors to measure the degree of digital transformation and online presence of a company or sector

GEOGRAPHICAL RISK FACTOR
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).

SOCIAL RISK FACTOR
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).

KDM

KNOWLEDGE MANAGEMENT

We optimise internal document searching, classification and reading by exploiting artificial intelligence-based solutions.

APPLICATION AREAS

  • Legal
  • Communication
  • Investor Relations
  • Accounting / Finance

KEY FACTORS

QUICK AND EASY ACCESS TO INTERNAL DOCUMENTATION
We use AI logic to digitise, categorise and summarise documents/material of different natures for easy searching (e.g. text files, videos, audio recordings).

ENRICHMENT OF INTERNAL DOCUMENTATION
Integration of new alternative datasets and information from the digital world (e.g. positive/negative sentiment about a company and/or manager)

Area Customer Acquisition

Customer acquisition area

We generate new customers thanks to proprietary solutions that start with the analysis of internal and external data and end with the prioritisation of appointments required in the branch

APPLICATION AREAS

Support for traditional market research
Ideal solution for launching new products/services and opening up new markets

KEY FACTORS

WE IDENTIFY EMERGING TRENDS
We analyse the needs and requirements expressed by users online

WE BUILD MICRO-TARGETS
Leverage the power of artificial intelligence to activate the best channels and the right ways to reach them

WE IDENTIFY THE BEST LEADS
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.

Area Customer Retention

Customer retention area

We increase the retention rate of the existing customer base by identifying the highest value segments where cross & up-selling actions can be activated

APPLICATION AREAS

Enable the network to sell new products to customers with a greater propensity to buy

KEY FACTORS

PREDICTIVE INTELLIGENCE
Advanced machine learning techniques allow you to predict the future actions of each customer by analysing their purchase history, behaviours, characteristics and more.

AUTOMATIC CUSTOMER SEGMENTATION
Customers with similar characteristics are segmented so that higher value customers can be activated through specific marketing and communication actions.

Business case

BUSINESS CASE: BANKING GROUP

Area Credit

NEEDS:

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.

RESPONSE:
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.

BUSINESS CASE: GRUPPO BANCARIO

Investment Area

NEEDS:

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.

RESPONSE:
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.

BUSINESS CASE: SECURITIES DEALER

ESG Area

NEEDS:

Access to indicators that measure ESG performance by combining alternative and financial data.

RESPONSE:
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.

BUSINESS CASE: INSURANCE

KNOWLEDGE MANAGEMENT

NEEDS:

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.

RESPONSE:
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

BUSINESS CASE: INSURANCE

Customer retention area

NEED:

Reduce the churn rate linked to specific retail products/services

RESPONSE:
Identified clusters of customers most likely to churn and their behavioural and interest characteristics in order to target specific favourable terms to discourage churn.

RESULTS: +12% QoQ churn rate

BUSINESS CASE: INSURANCE

Customer acquisition Area

NEEDS:

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.

RESPONSE:
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

Leverage our AI algorithms to interpret and transform large volumes of alternative data into:

New investment ideas

Risk and ESG assessment scoring

High-value enriched information

Datrix Group's data-driven tech companies

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