Datascoring
Analytics and Data
Big Data Scoring is a cloud-based credit decision-making service that provides analytics and data for financial services, known for its innovative use of big data to enhance credit scoring accuracy.
Size
11-50
Private
Mission
To improve the quality and acceptance rates of loans through innovative big data analytics.
About
Big Data Scoring offers analytics and data along with advanced credit scoring models for clients in the financial services sector. The company operates using a nearshore model and supports lenders across Europe, Latin America, and Asia.
It is recognized for improving scoring accuracy by up to 25%, with proprietary algorithms that help lenders reach underserved populations and enhance their credit risk assessments.
Services
Big Data Scoring provides analytics and data supported by advanced credit scoring models and specific offerings such as data engineering & ETL, business intelligence & dashboarding, and risk & fraud analytics. These services cover credit risk decision-making and are tailored to support lenders in enhancing their credit quality and customer reach.
Capabilities
Data Engineering & ETL
Business Intelligence & Dashboarding
Risk & Fraud Analytics
Descriptive & Diagnostic Analytics
Predictive Modelling
Data Quality & Governance
Industries Served
The company serves clients in financial services, particularly in the credit and lending industry. It has experience supporting banks, payday lenders, peer-to-peer platforms, and microfinance providers with services aligned to industry-specific requirements and technology platforms.
Unique Stregths
Big Data Scoring is known for its innovative use of publicly available digital data to create more accurate credit risk assessments, offering clients improved profitability and access to credit for underserved populations. Its approach includes leveraging big data analytics to enhance scoring accuracy and client acquisition rates, ensuring consistent results for lenders.
Delivery Footprint
Headquartered in London, United Kingdom, the company operates using a nearshore delivery model. It serves clients across Europe, Latin America, and Asia, with teams working in hybrid environments depending on client needs.
Certifications
No items found.
Verticals
Banking & Financial Services
Clients
No items found.
What's the main service provided by
Datascoring
?
Datascoring specializes in analytics and data solutions, primarily focusing on enhancing credit scoring models for the financial services sector. Their offerings include various sub-services such as data engineering and ETL processes, business intelligence and dashboarding, as well as risk and fraud analytics. This comprehensive suite is designed to support lenders in making informed credit risk decisions and improving overall credit quality.
What additional services does
Datascoring
provide?
When was
Datascoring
founded?
Datascoring was established in 1996, making it a well-established player in the analytics and data industry with over 27 years of experience. Since its inception, the company has focused on delivering innovative solutions that enhance the financial services sector, particularly in credit scoring and risk assessment.
What industry verticals does
Datascoring
serve?
Datascoring serves the Banking & Financial Services industry, specifically targeting clients involved in credit and lending activities. Their expertise is geared towards supporting banks, payday lenders, peer-to-peer platforms, and microfinance organizations, ensuring that their services align with the unique requirements of the financial sector.
What delivery model does
Datascoring
offer?
Datascoring employs a nearshore delivery model, which allows them to provide services from locations that are geographically close to their clients. This approach enables effective communication and collaboration, often resulting in cost savings and improved service efficiency. By leveraging a nearshore model, Datascoring can cater to a diverse clientele across Europe, Latin America, and Asia, ensuring a seamless experience regardless of the client's location.
How many employees and/or seats does
Datascoring
have?
Datascoring has a workforce comprising between 11 to 50 employees, indicating a small to medium-sized team. This size allows for a more personalized approach to client service while maintaining the agility necessary to adapt to the unique needs of their clients in the financial services industry.
Can
Datascoring
be considered a good service provider for startups?
Datascoring's specialized analytics services and flexible nearshore delivery model can make it a valuable partner for startups in the financial sector. Their experience in enhancing credit scoring and risk assessments could particularly benefit new companies looking to establish themselves in a competitive market. However, startups should consider their specific needs and whether Datascoring's services align with their growth strategies.
Can
Datascoring
be considered a good service provider for SMBs?
Datascoring is well-positioned to support small and medium businesses, especially in the financial services industry. Their focus on improving credit quality and customer reach through advanced analytics can help SMBs enhance their lending capabilities and access underserved markets. With a service portfolio tailored to the unique needs of smaller firms, Datascoring provides the flexibility and support necessary for growth.
Can
Datascoring
be considered a good service provider for enterprises?
While Datascoring's services are primarily tailored towards financial institutions, their innovative use of big data analytics and established expertise could also be beneficial for larger enterprises in the finance sector. However, enterprises may need to assess whether the company's size and service offerings align with their more complex and varied requirements.
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