Banking and Insurances

Data Science and Big Data for banking and insurance industries

Thanks to PiperLab solutions, banking and insurance companies can extract the full potential from their data: learning about and segmenting their clients, anticipating their inclined behavior or their product cancellations, or helping them improve their risk profiling, fraud and credit scoring models.

Prominent Clients

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Did you know

that consulting Borme can help you assess the risk of a client failing to pay back a loan?

that having received a fine can be positive when asking for a loan?

knowing when, what and how people tweet is a source of socioeconomic information about a region?

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Data about the Industry

of organizations

developing Data Science Projects are improving their risk profiling.

of organizations

consider improving user experience through Big Data a top priority.

of companies

use bank transactions and website visit registers as a source of information.

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Solutions

Risk Scoring

We use both internal information from the company and external data to train models that analyze accident, fraud or loan risk scores, integrating this information into existing processes.

Product enablement and abandonment

Our goal is to improve the client's experience in all different products of an organization. We analyses which variables are relevant when it comes to determine if a user will purchase or abandon a product, creating alerts and integrating the result of predictive models into sales or communications management tools.

Revenue generation and client segmentation

It is essential to have a global vision of a client to improve our knowledge of them and discover groups that behave in the same way, allowing us to adapt offers to their needs and preferences. We integrate all the data in an organization to detect behavioral patterns, enhancing the client profile and improving their management during the whole life cycle.

Microeconomics and Macroeconomics Indicators

We use unconventional data (visit logs, social media information, third party data, etc.) to estimate the evolution of stock market indexes or to monitor carefully data about economic activities such as GDP or unemployment rates. The goal is to design successful strategies in some markets or to assess the risk of investment in a particular geographical area.

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Data we use

Bank transactions

This is gold for financial organizations. They teach you about clients and how to offer the best possible service and ensure customer loyalty.

Web Platform logs

in an industry engaged in a digital transformation, learning about the online behavior of clients is critical to develop internal processes.

Social Media

We help you learn from your clients through the information they publish in social media, detecting trends, profile information and life decisions.

Open data

Public organizations, such as INE (National Statistics Agency), BORME (Registry of Companies), BOE (Government Publication) or the land registry throw information that we integrate in our Big Data models for banking and insurance organizations.

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Quotes

"At PiperLab we discovered excellent professionals, technology-innovation natives who worked with us developing projects with amazing results.
They work in a flexible way and that helped us generate outstanding projects in the Data world".

Óscar López Ugarte

Head of data de Rastreator.com

"Innovation, new challenges and good work are all characteristics describing the team at PiperLab. We posed a complex and tough challenge and they build the perfect solution: advanced in concepts and elegant in technology."

Aitor Chinchetru

CEO in Wanna & COO in Fintonic.

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