Tag Archives: Decision Management

Analytics & Optimization Accelerating the Slow March Towards Digitization in the Insurance Industry: Part II

Accelerate digitization insurance
Oct242018

In our previous blog, we outlined five ways that insurers can adopt a decision-first approach to accelerate the digitization of your business. Below, we take a deeper dive into these areas. Adopt a decision-first approach: Rather than start with data, forward-looking insurers are defining their most critical business objectives and decision models before considering data and analytic requirements. Once the decision metrics have been identified – such as loss ratio, geographic distribution, growth, etc. – a carrier can assess data sources in order to gain customer insights and make decision at the exact right moment. The organization can then drive key decisions across all interactions and continuously improve so the next decisions are even more accurate. The leading decision management applications help businesses visually model their decisions before deploying them. Improve your agility by optimizing resources: Digitization is hindered when businesses can’t modify strategies quickly enough or respond to economic,... [Read More]

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Analytics & Optimization Accelerating the Slow March Towards Digitization in the Insurance Industry

Accelerate digitization insurance
Oct222018

Let’s face it – while many see digital disruption as the future in insurance, in fact new entrants into the space have been hindered by the product complexity, distribution systems and legacy infrastructure that the insurance industry carries with it. The landscape is changing, however – consumers (and businesses) are moving quickly to go with insurers that offer targeted, more transparent, 7×24 services. Digitization is indeed alive in insurance, it’s just taking longer to infiltrate – but it is arriving, and insurers that move quickly to upgrade their technologies – particularly, decision management systems – will gain (and grow) a distinct advantage over those who wait. Is the software to blame? Like the industry itself, the insurance software that is used to help make decisions is also stuck between business as usual and the immense possibilities offered by digitization. While policy and claim management system vendors have evolved product functionality... [Read More]

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Analytics & Optimization Unlocking Decision Automation with a 5 Stage Workshop Approach

Digital assets
Aug092018

Automation has played a fundamental role in enabling businesses to make better, more consistent and more strategically sound decisions. Increasingly sophisticated cloud-based software has given organizations the capacity to define the policies and regulations that drive decisions, and then to incorporate analytics into models – decision services – that can be refined to account for changing conditions. But software is only the toolset. Decision automation can be effective only as an enabler for an effective process to decide what decisions to support using decision services, and how those services will be used to drive business processes. For that purpose, a proven, documented process is required. FICO facilitates decision service development for its clients using a methodology called Decision Requirements Analysis (DRA), developed by Dr. Alan Fish, Principal Consultant, FICO Decision Solutions. DRA focuses decision-makers’ attention on a domain of decision-making and decomposes it into a network of decisions, which are... [Read More]

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Analytics & Optimization Vantiv, Now Worldpay: A Decision Management Maturity Rockstar!

Merchant Onboarding
Aug012018

“It’s a long way to the top, if you wanna rock and roll.” Luckily, Decision Management (DM) technology has been invented and has come a long way since AC/DC released this epic anthem in 1975. With solutions like the FICO Decision Management Platform (DMP), the journey from novice to rockstar can be faster than a speed metal riff. In this blog, the last in my series about the FICO Decision Management Maturity Model and Map, I’ll provide a FICO customer example, using merchant onboarding, that illustrates how quickly companies can gain the benefits of becoming DM “rockstars.” Vantiv, now Worldpay, accelerates its Decision Management maturity Vantiv, which recently joined forces with Worldpay, is one of those rockstars. Vantiv is the number-one acquirer in the US, UK and worldwide, annually processing 40 billion transactions valued at $1.5 trillion. I recently caught an excellent session at FICO World 2018 featuring Worldpay’s rapid... [Read More]

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Risk & Compliance Accelerating and Automating Small Business Lending

Accelerating and automating small business lending
Jun242018

Loans issued in days rather than weeks while bad debts reduced to 3 percent of loan book Malaysia’s Credit Guarantee Corporation (CGC), a government and commercial enterprise joint venture, has used FICO’s decision management technology to improve its ability to judge the creditworthiness of small businesses so it can provide them with loans. This direct lending is an expansion of CGC’s usual role of providing loan guarantees to businesses, many of which lack the collateral and track record to obtain regular financing. Since its deployment of FICO® Blaze Advisor® decision rules management system and custom analytic models in August 2016, CGC has reduced non-performing loans to just 3 percent of the loan book and has had only one default. For its achievements, CGC has won the 2017 FICO Decisions Award for Decision Management Innovation. The winners of the FICO Decisions Awards were spotlighted at FICO World 2018, the Decisions Conference, April 16-19... [Read More]

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Analytics & Optimization 5 Tips: Using Data & Analytics for Better Business Outcomes

Data analytics for competitive advantage
May042018

Leveraging analytics from insight to artificial intelligence (AI), business leaders can make sense of their rapidly-growing piles of data to improve their operations. Here are some tips for using analytics to create a measurable business impact. #1: Put the decision before the data With a decision-first strategy you define the business objective first, then determine what data and analytics you need to achieve the goal. Extrapolating insights from huge amounts of data can be interesting, but it can also be a tremendous waste of time and resources if it doesn’t solve a specific business challenge. If the modeling and data analytics requirements are defined by the business outcome first, data exploration and analytic development is faster and more productive. This helps enterprises narrow in on meaningful outcomes, shutting out extraneous noise and focus on the insights that address specific objectives. #2: Get data into decision makers’ hands Empower the business... [Read More]

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Analytics & Optimization Make Faster & Smarter Decisions with Machine Learning

Apr262018

Optimization of supply chain operations has become an imperative, as organizations grapple with customer demands, unpredictable events, and spiraling costs. On top of these persistent challenges, complexities are magnified by the myriad of tools required to manage everything from workforce schedules to resource allocation. To meet competitive demands, business decisions are needed quickly and accurately against an ever-evolving list of requirements and dependencies. But all too often, supply chains break down in the face of unanticipated factors or messy and incomplete data. To drive greater speed and precision in the supply chain, industry leaders are employing automation technology and visual insight capabilities. This traditional software driven approach can help but does not always suffice in the face of a growing number of variables and constraints. Today, many companies are transforming their supply chain challenges into business opportunities with powerful analytic platforms rooted in Artificial Intelligence and Machine Learning. Machine Learning... [Read More]

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