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AfterData: winner of the Fintech of the Year award by France FinTech

Alain Crot, the Head of France Fintech and organizer of the FFT21, awarded[…]

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10,000

users every day

25 million

daily predictions

97%

accuracy rate

ABOUT AFTERDATA

AfterData software solutions

AfterData MARKETING is a solution for predicting customer behavior that can be used directly by marketing and sales teams. Our solution addresses the key concerns for your business development: predicting terminations (churn); predicting needs (cross-selling); and scoring prospects. 

AfterData COMPLIANCE is a solution designed to detect market abuse for the banking sector (MAR/MAD II directive) as well as insurance fraud. AfterData’s exclusive technology, combining scenario modeling and predictive algorithms, provides unparalleled targeting accuracy while reducing management costs. 

  • Insurance

    Mutual health insurance

  • Tourism

    Transport

  • Banking

    Finance

  • Energy

  • Industry

  • Telecom

    IT

Featured customers

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Our modules

A predictive solution for each operational need

Our solution provides total autonomy for your marketing teams, allowing them to focus on using predictive scores and getting to know your clients.

We guarantee unmatched detection accuracy, complemented by optimized and secure audit trail management, while reducing unnecessary alerts and false positives thanks to machine learning.

Marketing Software Solution

Our solution provides total autonomy for your marketing teams, allowing them to focus on using predictive scores and getting to know your clients.

Compliance Software Solution

We guarantee unmatched detection accuracy, complemented by optimized and secure audit trail management, while reducing unnecessary alerts and false positives thanks to machine learning.

The Company

AfterData: so much more than a software solution

AfterData specializes in the banking, insurance and mutual insurance sectors. Our software solution combines data expertise with extensive marketing and compliance experience. 

This triad is the DNA of our company, and is built into all of our software solutions: we offer business tools that can be used without pre-requisites and that use mathematical models that are optimized for each business sector. 

AfterData is a software solution, but it is also much more than that. Our teams accompany you every step of the way, to help refine the models and adjust them to your operational reality. If necessary, they can also assist your analysis teams enhance their skills and ensure they are fully autonomous so they can manage the tool independently. 

AfterData turns your data into business ready, easy-to-read information, thanks to user-friendly, didactic and fully configurable models. Being able to view these key elements in an easy-to-understand dashboard offers a vital aid to strategic decision-making. 

AfterData’s winning combination: our operational focus; our extensive sector-specific expertise; and the ease of implementation of our software solution (three months). 

Find out how

They’re talking about us

AfterData is hiring, join our team!

AfterData is a fast-growing start-up. Our platform leverages artificial intelligence to support business teams and to boost the value of business data. Would you like to dive into these exciting challenges? We are looking for new talents. 

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Do you have any questions?

  • Proximal trade

    This is a case of market abuse where a small order is followed by a large one in order to take advantage of the upward trend generated by the latter. 

  • High presence

    This type of market abuse is defined as buying a significant portion of the total buying volume of a security on a given day. 

  • Marking the close

    This type of market abuse is characterized by taking positions in order to maintain the price of a security at a certain level. The purpose of this market abuse technique is to keep the price low or to prevent the price from rising too high. 

  • Trading systématique

    Systematic trading is a trading model that relies on strict rules for determining buying and selling opportunities in financial markets. This computerized method is considered to be objective, as opposed to the decisions made by traders that are discretionary (and therefore based on subjective criteria). Systematic trading is also known as “quant trading”, “quantitative trading” or “algorithmic trading”. 

  • Global permanent insider

    This market abuse alert is designed to prevent the disclosure of information to a financial advisor on behalf of other clients. The bank then monitors transactions via a dedicated instrument for which it has a “listed company manager” status. The goal of this is to prevent possible insider trading. 

  • Permanent insider

    This case of market abuse concerns clients who have the specificity of being on a “Permanent Insider List” and who, through their position, have access to sensitive inside information concerning a listed company. Surveillance then takes place on transactions carried out by the client’s company to monitor possible insider trading. 

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