CRIF’s business user-friendly decision management solution for automating decisions that leverage data & analytics.
Decision Management with StrategyOne
Release your organization from the inflexibility and high costs of having hard-coded rules dispersed throughout your systems and embrace an enterprise decision management approach and technology that empowers business users.
StrategyOne puts business people in the driver’s seat to quickly and easily implement, test, monitor and change business rules, credit scores, calculations and entire decision processes without coding, leading to automated and confident decision-making throughout your enterprise.
It is a complete business rules management platform and decision scoring engine that enables your organization to identify the right targets, increase customer loyalty, boost sales and margins, manage risk, and implement business and regulatory policies and procedures. From pre-screening and credit underwriting to ongoing credit risk management and marketing campaigns and collection strategies, StrategyOne spans the customer lifecycle, covering all aspects of decision management with graphical, user-friendly decision-making technology.
Key Benefits of StrategyOne
- Enables you to adapt by converting ideas into effective actions that leverage data and analytics, with graphical tools to design and modify strategies without IT assistance, allowing for quick time-to-market when faced with demands from the market and business, all with ease of integration with your existing systems;
- Optimization with faster customer response times, improved credit portfolio quality using scorecards, rating and and Basel-compliant risk parameter calculation (PD, LGD, EAD, RWA…), and the ability to meet business KPI targets with dynamic simulation in order to fine-tune and use a champion/challenger approach to try out new decision logic;
- Allows you to implement your analytics models into S1 using R and PMML tools. S1 is able to support advanced and machine learning models such as Neural Network, Tree Models and Random Forest;
- Brings control through standardized and centralized decisions that help achieve Basel, IFRS9 and other compliance requirements, and consistency of decisions at all stages of the customer lifecycle, from Engagement and Origination to Customer Management and Collection;
- Gives access to CRIF professionals who can help you realize all these benefits through consultancy, setup, training, configuration and ongoing support.
Related Success Story
Ensuring business continuity for the BlueStep origination process
In order to support its growth, BlueStep needed to continue to rely on a strong origination system for unsecured loans. What’s more, BlueStep’s plans also included the implementation of an origination system for mortgages.
Sberbank: The setting up of a direct bank in Germany
With the setting up of a direct bank in Germany, an intelligent solution was sought for granting digital and mobile loans, and setting up lean and cost-efficient processes.
A major Chinese bank
Credit policy rule optimization & consultation for a major Chinese Bank
The aim was to integrate CRIF best practices in risk management at home and abroad based on the rich dataset accumulated by the bank over time, and to design application approval policy rules specific to the client’s needs, integrating industry best practice.
Austria Wirtschaftsservice Gesellschaft GmbH (AWS)
Risk and revenue in one system
In contrast to a commercial bank which focuses its attention mainly on historical information when granting loans, AWS, as a development bank, looks primarily at the future, weighting soft facts much higher than historical hard facts.
One of Chinese major banks
Credit card origination strategy design and initial credit limit algorithm definition
In a highly competitive context like the Chinese Retail Credit Card market, where hundreds of banks have been struggling to increase their customer base for years, CRIF has designed a best practice origination strategy and initial credit limit algorithm to enable one of Chinese major bank to become a leading and innovative market player.
Findomestic Banca, BNP Paribas Group
Findomestic: optimization of the dealer assessment processes
Findomestic took on a new challenge in the world of business credit with the aim of expanding into the business sector, starting with car dealerships.
Uralsib Bank doubles its application volumes and reduces its overdue loans
The client is Uralsib, a major Russian financial group formed through the merger of 6 regional banks of varying sizes and business specialties.
Transforming compliance into a value-add for both customers and the bank
A CRIF Credit Management Platform customer, driven by local and European Union compliance and regulatory mandates, embarks on a significant overhaul of its credit risk management processes, both customer facing and in back office.
How Gjensidige Bank achieved innovative, digital customer onboarding
"The success of the implementation of a new credit system in the bank is dependent not only on first class systems and technology, like CreditFlow and StrategyOne, but also on the people involved in the project and their competence and commitment."
OpenSky, a business line of Capital Bank
Capital Bank’s OpenSky puts CRIF’s CreditFlow & StrategyOne to the test
All lenders have a process to determine the creditworthiness of borrowers, but not all have an efficient and effective way to do so. CRIF's technology helps lenders maintain growth and agility while managing risk.
An inside look into mBanks's success and innovation
mBank, one of the largest banks in Central and Eastern Europe known for its appealing customer experience with an innovative and streamlined customer engagement, uses CRIF's StrategyOne Decision Management software and scorecard to automate credit risk decisions for new customer and existing customers.
International financial group
Integrated and scalable solution to standardize decision engines
Following a corporate merger, it became essential for the client to standardize its information systems in order to take advantage of business synergies and to have unambiguous views on a customer level. The chosen solution was to re-engineer the Decision Engine.
K&H Bank in Hungary
This KBC group bank relied on a best practice model and solution to overhaul its business loan origination
Needing to improve our customer value propostion for small and medium sized business loan origination, we adopted a 360 degree approach with a solid foundation from an organizational, credit management and technology perspective and focused on defining the best process design and credit workflow to meet our needs.
T-Mobile has selected CRIF as its partner to establish a decision management solution
Find out how T-Mobile is tackling this challenge with CRIF's Decision Management software that supports employees, ensures compliance with quality standards and takes into account all the individual components required, allows specific adaptions, and all is done automatically.
Transformation of the credit culture: the Enel experience
Following deregulation and privatization and increasingly rigid restrictions on regulated markets, Enel needed to build a new credit governance model, appropriate to the size and complexity of the company.
Hera Group: A state-of-the-art credit governance model for businesses
How multi utility Hera improved its credit KPIs and cost control from customer onboarding through collection.
A major Chinese insurance company
A major Chinese insurance company's success story: Redesigned process & data driven scoring model
As the client’s business continues to penetrate the market, the trend in post-loan customer performance is becoming more and more clear, and so it has become the new focus to optimize current approval process and policies, to better identify the credit risk level of new customers, and to effectively predict the behavioral pattern of post-loan customers.