FinScience is a data-driven fintech company which, through AI, synthesises Alternative Data to enhance Asset Management, Investor Relations, Marketing & Sales, and ESG actions
We gather digital contents from social and e-commerce platforms, blogs, maps, etc. (in English and in Italian).
We then analyze, filter, interpret and weigh them. We turn them into figures and time series with our proprietary Machine Learning algorithms (e.g. topic modeling, entity recognition, influencer clustering-and-evaluation algorithms).
Hence, the Alternative Data present in our data lake – treated as mentioned above – becomes the raw material for supplying our clients with two types of solutions:
Our technological infrastructure is thoroughly cloud-based; this makes it all extremely flexible and readily scalable.
FinScience currently scores 59/100 in the Big Data category. This is based on press buzz (35/100), recent user trends (falling), and other relevant information on FinScience gathered from around the web.
| The score for this software has stayed the same over the past month. What is this? |
FInScience show top ten highlights related to each signal (signal: company, person, topic, etc.)
FinScience synthetizes digital data through home-made indicators which show how a digital content is spread and perceived on the web
FinScience gathers digital contents from social and e-commerce platforms, blogs, maps, etc.
FinScience is able to provide two kind of solutions: Informative and operative solutions
2 years of historical data are available for clients
At the moment, FinScience analyzes both Italian and English contents
FinScience provides both structured and unstructured data
Data collected form the web are scanned by NLP software which is based on different libraries
FinScience is based on machine learning algorithms to process data
Cloud-based database
Product recommendations, vendor rankings, market overview and tips on how to select Big Data software for business. Published in April 2024.
Big data is continuously gaining importance in the business world. Businesses today, regardless of their scale and industry, collect large volumes of data about key processes and stakeholders with the view to generating actionable insights. Big data solutio...
FREE DOWNLOAD Big-Data-Software-Buyer-Guide-2018.pdfYes, there is a dedicated support made by an asset specialist to facilitate the dashboard usage by the clients.
Asset specialist supports clients from the first access up to the end of the contract in order to let them integrate the useful insights which come from the dashboard in their financial strategies.
Yes, it does.
Yes, it does.
None.
No, it doesn't.
FinScience’s technology interprets and transforms Alternative Data into sets of information pivotal for investment decisions.
