In our 32-criteria evaluation of real-time interaction
management (RTIM) providers, we identified the
12 most significant ones — Adobe, Emarsys,
FICO, IBM, IgnitionOne, Infor, Pegasystems,
Pitney Bowes, Rocket Fuel, Salesforce, SAS,
and Teradata — and researched, analyzed,
and scored them. This report shows how each
provider measures up and helps B2C marketing
professionals make the right choice.
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.
When automating decisions, organizations need a platform for defining the policies and regulations that drive those decisions. Choosing the right business rules management system is not enough to pick the right technology.
To create a centralized and standardized, user-friendly system that enables internal and independent insurance agents to make precise and consistent policy quotes and uniform underwriting decisions, ACG adopted FICO's Blaze Advisor decision rules management system.
"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions.
Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting
FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz
"Ever wonder how FICO Blaze Advisor moved a US Insurance Company from 100% manual to 99% automated underwriting?
FICO Blaze Advisor decision rules management system created a central, standardized and user friendly system for ACG Michigan"
ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions.
When car dealerships have interested customers who are ready to purchase vehicles, nothing is more frustrating than struggling to
structure the right deals—ones that maximize profitability, fit the risk parameters of the lender and satisfy buyers. This was the challenge for a large auto finance company, which was forced to reject too many prospective buyers who could have been profitably financed if the deals had been structured properly.
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.
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.