Technology Category
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Dock Management Systems (DMS)
Applicable Industries
- Cement
- National Security & Defense
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Leasing Finance Automation
- Tamper Detection
Services
- Cloud Planning, Design & Implementation Services
About The Customer
FICO is a leading predictive-analytics and decision-management software company that provides a popular credit-scoring service and other analytics software and tools. The company serves 95 percent of the largest U.S. financial institutions, making it a significant player in the industry. FICO's flagship product is the FICO Decision Management Suite (DMS), which helps customers drive business transformation through predictive analytics, business rules management, and optimization. The company has a strong focus on delivering rapidly deployed, cutting-edge solutions to its customers to maintain its industry leadership.
The Challenge
FICO, a leading predictive-analytics and decision-management software company, was facing challenges in rapidly developing and deploying its solutions, including its flagship FICO Decision Management Suite (DMS). The company, which provides services to 95 percent of the largest U.S. financial institutions, was traditionally an on-premises software company. This approach often resulted in years-long development and delivery timelines, hindering the company's ability to provide timely solutions to its customers. FICO wanted to focus on implementing its software rather than waiting for customers’ IT organizations to provision and build the underlying infrastructure for its solutions. Additionally, FICO needed to ensure strong security and compliance with Payment Card Industry (PCI), General Data Protection Regulation (GDPR), and other regulations in its operations.
The Solution
To address these challenges, FICO decided to move DMS and other solutions to the cloud. The company chose Amazon Web Services (AWS) as its cloud provider, primarily due to the integrated security capabilities of AWS. FICO was particularly interested in AWS Lambda, a service that provides serverless compute capabilities, allowing customers to run code without the need to provision or manage servers. This enabled FICO's developers to focus more on creating features and functionality. FICO migrated DMS and the myFICO.com customer-facing website to AWS, running on Amazon Elastic Compute Cloud (Amazon EC2) instances and heavily relying on AWS Lambda for serverless compute. To manage security and compliance, FICO used its own internal security practices in addition to services such as AWS CloudTrail and AWS Identity and Access Management (IAM).
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Data Capture for Afghanistan Forces
Electronic equipments on the field of Afghanistan provided information on the status of the vehicle and to identify potential threats surrounding it to the British Force. The monitoring and interpretation of this data requires robust and sophisticated digitization for data capture and communication.
Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
Major Aerospace Company Automates Asset Management
The O&M division of an aerospace and global security company was using spreadsheets to manually track more than 3,000 assets assigned to students and staff. Maintaining audit trails for this high volume of equipment became increasingly time-consuming and challenging. The chore involved knowing precisely what equipment was on hand, what had been issued, its location and the name of the custodial owner of each item. Every aspect of this task was carried owner of each item. Every aspect of this task was carried out by individuals with spreadsheets. Manually documenting the full lifecycle of each asset added to the burden. This included tracking maintenance requirements and records, incidents and damages, repairs, calibrations, depreciation, and end-of-life data.
Case Study
Revolutionizing Construction Equipment Rental: A Case Study on ProsRent and ENO8
ProsRent, a startup that won the 'Best Financial Opportunity' and 'Best Pitch' at CodeLaunch 2016, aimed to revolutionize the way construction professionals source and rent heavy equipment. In the construction industry, project managers and contractors typically rent heavy equipment from supply companies. However, predicting inventory can be challenging, and finding the required equipment at the right time and place can be a hassle. If the preferred vendor doesn't have the required equipment, it results in wasted time and money in searching for it, often leading to higher costs due to non-preferred rates and increased delivery costs if the vendor is located far from the job site. Suppliers, on the other hand, desired access to a wider base of trusted renters that they didn't have to vet themselves and wanted to offer dynamic rental pricing based on demand and availability in their market. ProsRent's challenge was to produce a minimum viable product that was fast and first to market but also strong enough to engender loyalty and repeat business from the target market.