As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
With the increasing mainstream adoption of big data infrastructure — highly distributed file storage and query tools — more businesses are taking a new look at what business intelligence and analytics can do to grow revenue, increase profits and ultimately develop strategic relationships with customers.
Download this white paper to learn more about these three keys to successful deposit pricing management:
Reacting quickly in a dynamic rate environment
Being prepared for new regulatory issues
Achieving a pricing process
Download this case study to learn how the Collections Treatment Optimization program powered by FICO® Xpress Optimization Suite and FICO® Model Builder helped more than 6,000 customers avoid repossession and stay in their cars, and prevented 50,000 customers from reaching a stage of delinquency that would affect their credit. The program also helped grow the lending portfolio by 9% without adding collections headcount.
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
Behind FICO® Collections Optimisation is a sophisticated decision modeling capability that quanti es the impact of an organisation’s business decisions and actions on customer outcomes such as revenue, loss and profit.
Read this brief to learn how FICO is helping retailers and grocers to use optimization to increase decision accuracy by 5%-40%, while deploying optimization applications up to 80% faster than possible – collectively, providing businesses with the ability to drive more revenue and customer connectivity while reducing costs.
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
Você já se perguntou como um grande varejista da América do Sul modernizou a concessão de crédito?
A fim de manter a competitividade, os varejistas precisam tomar decisões de crédito cada vez mais rápidas no ponto de venda. Este foi um desafio para este grande varejista da América do Sul, que usava uma estrutura antiquada (com mainframe) e um processo manual para determinar quais propostas de crédito deveriam ser aprovadas.
¿Se ha preguntado alguna vez cómo un gran minorista en Latinoamérica moderniza el proceso de otorgamiento de crédito?
A fin de mantenerse competitivos, los minoristas necesitan tomar decisiones de crédito más rápidamente en el punto de venta. Esto fue un desafío para este gran minorista latinoamericano, que estaba usando sistemas anticuados y un proceso manual para determinar la aprobación de solicitudes de crédito. El minorista se asoció con FICO con el objetivo de crear flujos de trabajo de decisión y automatizar las aprobaciones, integrando componentes de soluciones flexibles al sistema ya existente.
The bank wanted to be more consistent, agile and segmented with its implementation of strategies in origination and account management. By applying decision management technology, they were able to achieve success. Download now to learn more.
Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. And getting there isn't as difficult as you think. Start your journey by downloading this eBook.
Unexpected failure or performance erosion of production equipment can significantly impact productivity, product quality and maintenance expenses within any manufacturing organization. It’s also difficult to get operations ‘back on track’ after these failures occur. The good news is that, via the Internet of Things, intelligent use of sensor data, machine learning and optimization can help companies take a proactive approach to predicting failures and re-optimizing processes around them.
FICO® Optimization Solutions for Manufacturers is an integrated and flexible modeling, solving and rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges. It helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.
IFRS 9 impairment calculations are orders of magnitude more complex than IAS39 calculations. Not all frameworks will process data quickly enough to produce accurate provisions within strict, month-end reporting deadlines. Download now to learn more.
In this Executive Brief, we share best practices in how to evaluate and deploy layered controls that will help you develop a holistic approach to controls, investigate and control where risk is introduced, assess your risk appetite and benchmark your cybersecurity posture against others in your industry.
In an era where Big Data decisions demand high-powered tools, organizations everywhere are still mired in complex spreadsheets that limit the speed and precision of their critical customer interactions.
Read this fact sheet to learn how you can evolve beyond what spreadsheets alone can achieve:
• Allow business users to easily create and compare “what if” scenarios, interact with compelling visualizations, and challenge, improve and build trust with stakeholders and collaborators
• Rapidly deploy new optimization features and applications practically at the speed of thought – without leaning on IT – while leveraging existing investments in other analytic tools (such as R, SAS, MATLAB, and even Excel)