Author: Erki Kert

100 million credit scores delivered

January 30, 2018 by Erki Kert

We’re proud to announce that last year we delivered a total of 100 million credit scores to our clients around the world. In other words, it means that Big Data Scoring enabled to make 100 million better credit decisions for our clients – banks, nonbank lenders, telecoms, point of sale credit providers and others. Delivering […]

Proud to be selected to BBVA Bancomer Open Sandbox program

October 6, 2017 by Erki Kert

Thrilled to announce that we have been selected to the BBVA Bancomer (Mexico) Open Sand Box Program to test our technology with them. Exciting months ahead. Combinando fuerzas 🇨🇱 y 🇫🇮 viene @BigData_Scoring que ofrece asesoría al sector financiero a través de #BigData. #OpenSandbox — BBVA Bancomer (@BBVABancomer) October 2, 2017

Big Data Scoring adds Chile’s largest retailer as client

September 15, 2017 by Erki Kert

We’re excited to announce that we have signed Cencosud Administradora de Tarjetas S.A. as our client in Chile which marks another significant milestone in our rapid expansion in Latin America. Majority of Cencosud’s retail credit card business was acquired by Scotiabank in 2014 (Canada’s third-largest bank, active in more than 55 countries). Cencosud is a […]

Social media data not suitable for credit scoring

May 29, 2017 by Erki Kert

Roughly 5 years ago, when the idea was first floated that big data might help lenders make more accurate credit decisions, big data was also mostly though of in the context of obtaining additional data from social media, such as the widely popular Facebook where pretty much every individual on the planet has tons of […]

Fraud prevention got a major upgrade

April 7, 2016 by Erki Kert

We have added 2 additional features to our credit scoring and fraud detection tools to cover an even wider spectrum of potential fraudulent activity. As a result, we are now doing more than 10 completely new fraud checks in order to better identify the people with bad intentions. The new checks are based on the […]

Big Data Scoring signs up Admiral Group as client

March 23, 2016 by Erki Kert

We are glad to announce that Big Data Scoring has signed up Admiral Group as a client. Established in 1993, Admiral is one of the largest car insurance providers in the UK with a presence in seven countries.  They have been voted Best Car Insurance Provider by consumers two years running. Big Data Scoring (BDS) is an […]

Scoring model hosting service launched

March 16, 2016 by Erki Kert

Responding to great interest from our existing and new clients, we have launched a scoring model hosting service. The new solution can be used by our clients to host their own scoring models in our secure cloud platform so that all underwriting models are conveniently in the same place – application scoring and big data scoring. […]

We’re hiring!

August 31, 2015 by Erki Kert

We’re looking for great data engineers and data scientists to join our international team. Send your CV and cover letter to Senior Data Engineer (Helsinki team) Responsibilities: Design and development of data collection tools to scrape and combine data from different sources Work closely with data science and development teams to gather requirements, perform […]

Big Data Scoring selected to present at Finovate

August 10, 2015 by Erki Kert

We are proud to announce that we have been selected to present at Finovate Fall 2015, the leading demo-based conference that showcases cutting-edge banking technology, taking place September 16th and 17th in New York City. The audience gets to see our proprietary big data credit scoring solutions live on stage as we walk through the data […]

Case study about a Central European lender

November 14, 2014 by Erki Kert

We are excited to share with you another case study about how big data can improve the accuracy of an in-house scoring model. 2 main results: (1) 34.7% reduction in credit loss rates (2) an expensive credit bureau score can be replaced with Big Data Score™ Over the course of more than a year, we […]