FinScience enhances the information used to support the stock market analysis activities, providing interpretations of digital data to improve functional investment choices.

Prediction

Predictive financial power is amplified, thanks to the continuous comparison of digital data with the macroeconomic, industry, corporate, volatility, risk and market representation information.

Monitoring

Non-stop data collection monitoring and analysis processes, and tracking of user behaviour profiles based on content produced, such as separating consumers and investors.

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

FinScience Features

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

Additional Opportunities

Extraordinary opportunities for innovative fund management that will enable analysis of unstructured data to generate earnings and profits.

Save time in collecting information

FinScience will provide 24/7 monitoring of digital data sources, highlighting events of potential interest on behalf of the investor.

Faster and more in-depth analysis

Thanks to the advanced integrated statistics FinScience suite – analysis of correlation, prediction and segmentation is performed in a continuous cycle, and for large data sets (Big Data).

Combining structured and unstructured data

Through the interpretation of digital conversations, news, and posts on social networks, we will be able to provide a wide range of additional information, to be attached to the already-structured data set, and saved in the FinScience database.

Deep Dive Analysis (DDA)

In-depth analysis available for both listed companies, and for analysts with vertical portfolios who require a focus on specific weak signals that can influence the performance of a financial share over the medium and long term.

Deep Dive Analysis is an analysis technique aimed at collecting and analysing data from unstructured digital ecosystems (news, blogs, social networks, forums, etc.) in order to analyse them in-depth and correlate them with financial data in the public domain.

Do digital conversations influence investment decisions?

Financial assets are frequently mentioned with other assets or entities. Why?

The analysis is divided into 5 steps:

1

Quantification of the online interest of the company requesting the service.

2

Identification of the main influencers affecting the content of the data collected from the FinScience platform.

3

Analysis of DPV (Digital Performance Value) trends to achieve the level of online diffusion of the content.

4

Identification of the main macro and micro issues (strong/weak signals) related to the company.

5

Correlation between strong/weak signals and stock price trends.

Investors

Why Now: Opportunities in 3 markets

* Dati CBINSIGHT /Accenture 2014
** Dati Burton/Taylor 2014
*** Stima IDC

Fintech

Definition: Technology applied to companies, customers and financial flows. Investments in 2013*: $ 450m. (A major area of investment for venture capitalists)

Data Market Research

Definition: Market data allows investors to know and see historical trends for instruments such as equities, bonds, derivatives and currencies. Market value in 2013**: $ 25.88 bn.

Big Data As a Service Application

Definition: Big data as a service (BDaaS) is the delivery of statistical and analytical tools or information from an outside vendor that can help organizations understand and use ideas obtained from a wide variety of information in order to gain a competitive advantage. Value***: IDC estimates that the market will account for 35% of investments in Big Data.


Request the presentation of FinScience - Investors Edition

Horizon 2020: SSIX project

Participation in the Horizon 2020 project and the subsequent success of the tender provided an opportunity for 3rdPLACE to take part in the SSIX (Social Sentiment Index powered by X-Scores) programme with the goal of creating a financial index based on sentiment analysis. This new type of analysis will be performed on economic data from the monitoring of multiple sources of information on the web such as: social networks, blogs and news sites covering the financial sector.

In this way the final sentiment analysis will give users the opportunity to create innovative products and services to support the growth of revenues for investment clients who will use the program. The project is worth a total of EUR 4.3 million.

FinScience is going to include SSIX's indexes that are the result of a project funded by the European Union via the Horizon 2020 program

About FinScience

The product flow sees two key concepts: Finance and Data Science, which in turn involve highly technical issues that boil down to Big Data and Smart Data.

During 2014, we laid the foundations for the creation of a Digital Group divided into various companies and with a dedicated business management. The logic is based on the differentiation of products and services offered in the B2B market, with a strong focus on quality and scalability of advisory output and verticalization of production models.

3rdPLACE: At the centre of the Group

3rdPLACE is a strategic consulting firm specializing in Digital Intelligence activities. Established in 2010 by the passion and commitment of the former Senior Manager of Google Italy, the company boasts of a growing team, composed of professionals with high levels of specialization and professionalism.

FinScience

The creation of FinScience as financial business unit of Holding Ixoogler gives FinScience an opportunity to collaborate with 3rdPLACE to produce a financial platform as result of the research and development. The partnership will also allow FinScience to introduce the output of research and development, funded by Horizon 2020, and received by 3rdPLACE, as an integrated FinScience technology.

Contact detail

Viale Coni Zugna,5 20144 Milano (Italy)

+39 02 76 28 10 64

+39 02 93 66 42 81

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