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

Companies are increasingly turning to data and analytics for competitive advantage. But more than 70% of enterprises report struggling to achieve consistently positive results despite spending more to build, maintain and analyze ever-larger data repositories.1 This may be because they are using the wrong approach. Rather than start with data, companies should apply a decision-first approach that begins with the business objective and decision model before considering data and analytic requirements. FICO® DMN Modeler and FICO® Decision Management Suite make creating, managing and executing clear decision models faster and easier than ever before. 

Overview

Strategic decisions drive success and the process of managing, automating and improving these decisions has become crucial for companies across all industries. Decision analysis techniques help companies make smart, timely decisions and decision trees are a good example of technology that can help determine the best decision. But the technology is just one of the critical elements of a decision strategy. You have to know how to think about the problem you’re trying to solve and how to design an effective strategy. And once you have a solid strategy in place, it’s important to continue taking a fresh look at your data, your rules and your strategies on a regular basis. You can use data, tools and analytic techniques to understand current results then redevelop strategies for continual improvement. 

For Industries: 
Banking, Insurance
Overview

Regardless of size, all financial institutions must know their exposure to money laundering/terrorist financing risk — not only organizationally, but customer by customer — and take risk-appropriate measures to mitigate it. The same goes for credit unions, life insurance companies, money service providers, casinos and other industries. As regulators (and criminals) expand their focus beyond top-tier banks, an increasing range of businesses are faced with the need to perform KYC (Know Your Customer) with the same precision as the best and largest institutions — but without the large investments. 

Overview

The increasing number, variety, speed and severity of cyber attacks calls for a new line of defense. While there are many signature-based solutions for protecting against known cyber attack vectors, the key gap is identifying threats for which no signature has yet been isolated. Better defenses are also needed to protect against attacks involving credential changes after spear phishing. To minimize losses, we must detect and stop threats based on the abnormal behaviors they exhibit in the network, as they occur. To prevent losses, we must predict and stop as many threats as possible during the reconnaissance period, before data is exfiltrated.

Overview

FICO® Blaze Advisor® decision rules management system is a complete solution for enterprise decision management. It includes an architectural framework for building decision management applications and state-of-the-art tools for deploying and maintaining decision services (also known as rule services). In this white paper, you'll learn about using Blaze Advisor for rule authoring, implementation, deployment, and testing and maintenance, and how Blaze Advisor can be extended with analytics, simulations and a number of additional products within FICO’s Decision Management suite.

For Industries: 
Capital Markets, Banking
Overview

The depth and breadth of stress testing requirements continues to evolve in the US and Europe. Banks are increasingly expected to model more scenarios for more portfolios with greater levels of detail, reporting and accuracy. This is making stress testing processes more complex and resource intensive.

FICO provides clients with a sustainable stress test solution that will increase speed and accuracy, while improving transparency and governance.

 

For Industries: 
Technology
Overview

As IT departments' lists of backlogged application development projects keep growing, so does the speed of new development requests from line-of-business personnel. For many IT departments, the speed of business — the speed of requests for additional developments — can't be met under current practices. This inability to keep pace with critical development requests, supporting timely strategy modifications, seriously impacts an enterprise's profitability. The solution FICO advocates — one that accounts for budget constraints, legacy operational realities and quality assurance — is to empower line-of-business personnel as Citizen Developers, giving them the right set of technology assets to quickly, safely and cost-effectively participate in application development.

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.

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