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.
Tenuto conto del fatto che la GDPR è stato annunciato formalmente solo di recente, si evidenzia un buon livello di consapevolezza tra i partecipanti. Una volta informati sul regolamento, l'88% degli intervistati ha dichiarato che la propria azienda deve affrontare difficoltà tecnologiche per la compliance alla GDPR. Il percorso verso la compliance è percepito come molto laborioso.
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.
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.
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.
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.
IT leaders at FICO, Rotary International, Informatica, and many other leading organizations are becoming strategic business enablers and creating new ways to engage customers and partners with Okta. Watch this short video to learn how these IT leaders are driving business results with Okta.
In our 33-criteria evaluation of customer analytics vendors, we identified the 11 most significant software providers in this category - adobe, agilone, alteryx, angoss, FICo, IBM, Manthan, Pitney Bowes, saP, sas, and teradata - and researched, analyzed, and scored them. this evaluation details our findings about how well each vendor fulfills our criteria and where each vendor stands in relation to each other. this report will help customer insights (CI) professionals and marketers make the right choice for their customer analytics needs.
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)
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners.
And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully.
Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
Many organizations consider optimization only for their largest or most challenging business problems, often utilizing a small number of Operations Research professionals. But in our age of Big Data, market globalization and increased competition, many organizations are successfully making the case that optimization can be applied to a wider variety of business and operational decisions, and be developed by a new group of users — the organization’s business analysts.
With a proven track record of results demonstrating that organizations can increase profitability with business analysts applying optimization to many types of business problems, FICO’s proven development methodology is giving organizations the confidence to extend optimization practices across their enterprises.