Overview

Optimizing supply chain strategies and network designs keeps getting harder, with persistent challenges from increasing customer demands, spiraling costs, disruptive competitors and multifaceted partnership and logistical options. 

Spreadsheets and BI aren’t enough to deal with the complexity and business and logistical nuances in your business. The good news that it’s never been easier – or faster – to deploy powerful optimization to address your most challenging supply chain and logistics challenges. FICO® Optimization Solutions for Supply Chain helps businesses like Shell, Honeywell, Nestle, Southwest Airlines and others dynamically and proactively manage all critical processes within your supply chain lifecycle. They do this in two critical ways: by substantially reducing the time to develop and deploy optimized supply chain solutions by as much as 80%, while increasing visibility into every critical facet of your supply chain via dashboards and other visualization tools.

Overview

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.

This brief dives into how FICO Optimization can help manufacturers deploy optimization solutions up to 80% faster than before, while empowering frontline staff, business analysts and data scientists to collaborate to solve your hardest problems. Also:

  • Discover new opportunities to drive margin and efficiency in areas never before possible with other analytic tools and enterprise software.
  • Leverage insights to plan for the future, and quickly make changes that address immediate needs or conditions.
  • Readily import data from your analytic tools, ERP software, spreadsheets and MES into your optimization framework, so you don’t need to “rip and replace” your existing infrastructure.
  • Unlock the hidden value of your data by leveraging multiple data sources, in-stream or at-rest, within your analytic decisioning framework.
Overview

Making customer-focused 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. Even incremental investments in advanced analytics can pay off, but to be truly successful, organizations have to put these tools into the hands of their lines of business, not just the data scientists and operations researchers who have traditionally owned this domain – without impacting an already overloaded IT department. This white paper covers how the collision of economic, technological, and human factors mandates a new approach to decisions – leveraging prescriptive analytics across the enterprise.

For Industries: 
Banking
Overview

In this feature for Impact magazine, published by the OR Society in the UK, FICO Chief Analytics Officer Andrew Jennings explains how all the decisions related to the credit card lifecycle – from marketing and originations through fraud and collections – are governed by analytics, adaptive control and other fundamentals of operations research. Covering the history of credit analytics from the credit score through prescriptive analytics, the article also deep dives into the latest fraud analytic capabilities that protect cardholders and reduce false positives.

 

 

For Industries: 
Banking
Overview

The phrase “competitive pricing” is often used to mean pricing lower than competitors. But a financial institution that can make offers at higher prices and still win the business is even more competitive. And if these transactions raise not only margins and profits, but customer satisfaction and share of wallet, that company is truly a formidable competitor.

This paper examines customer-centric pricing optimization, which encompasses far more than just price. We look at how financial services can make astute decisions about the entire offer, based not only on detailed predictions of customer value, sensitivities and behaviors, but also on customer attitudes and choices revealed at the point of sale.

Overview

In the era of Big Data, many of the world’s leading marketers are realizing the need to significantly ramp up their marketing campaign optimization approaches to a new level, one that will support “Big Marketing”—the ability to effectively develop, optimize and execute large-scale campaigns to maximize value, while meeting multiple business goals and constraints. However, the key challenge in meeting this objective is to cost-effectively, and expeditiously, incorporate the necessary Big Marketing optimization components and capabilities into current platforms, or into a new solution.

Overview

More so than perhaps at any other time, business agility is essential today to successful collections and recovery practices. With compromised budgets, a surge in regulations protecting the consumer and the likelihood that recent increases in consumer confidence and consumer borrowing will boost bad debt volumes, collections and recovery teams in several industries are pressured to think hard about new, flexible approaches to operations and operational strategies. In terms of how technology can drive agility, collections and recovery professionals shouldn’t overlook the cloud.

Overview

The adage “choice is the enemy of decision” certainly holds true for optimization solutions. As banks move towards optimizing customer decisions, the many choices available make it difficult to know
what works best. While some optimization solutions are purely software-based “solvers,” others offer more, such as modeling services or domain expertise within a given decision area. Moreover, choice is not the
only challenge. Historically, many solutions are highly academic and not built to meet real-world requirements.

Overview

This paper describes several examples of sequential and parallel solving of multiple models with Mosel. Without being able to give an exhaustive list of possible configurations, the examples showcase different uses of the Mosel module.

From a more technical point of view, topics discussed in this paper include model management, synchronization of concurrent models, and the use of the shared memory IO drive.

Overview

As problems grow in complexity, advanced solver engines are needed that can tackle large-scale optimization problems. Organizations that solve problems efficiently at all levels of complexity have a unique competitive advantage. 

In this article, learn how FICO is helping solve the unsolvable by conquering gigantic optimization problems with FICO Xpress Optimization Suite.

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