NCOMMUNITY CASE STUDY: $16 Billion-Asset First Financial Bank Relieves the Burden of CRA Data Analytics with Ncommunity

Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Ncommunity
Tech Stack
- Web-based analytics software
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Use Cases
- Predictive Quality Analytics
- Regulatory Compliance Monitoring
Services
- Data Science Services
About The Customer
First Financial Bank is a community bank based in Cincinnati, OH. The bank has been a customer of Ncommunity since 2013 and is primarily examined by the Federal Reserve. Over the past few years, First Financial Bank has doubled in size to $16 billion in assets. As the bank expands into new geographic markets, it is tasked with analyzing demographic and census information and learning about the new communities it serves. The bank needs to understand how adding these new markets to its marketplace impacts its overall Community Reinvestment Act (CRA) performance. It needs to see how its performance compares to peers, if it's serving all assessment areas, and if staffing is adequate for the needs of their community. The bank is a large institution, with over 150 branches and 2,000 employees.
The Challenge
First Financial Bank, a growing community bank with $16 billion in assets, was facing challenges in understanding the Community Reinvestment Act (CRA) implications of new markets as it expanded. The bank had to analyze demographic and census information and learn about the new communities it served. It also had to understand how adding these new markets to its marketplace impacted its overall CRA performance. The bank needed to compare its performance with peers, ensure it was serving all assessment areas, and ascertain if its staffing was adequate for the needs of the community. This was a significant task for a large institution with over 150 branches and 2,000 employees. Data came from various lines of business at the bank, including mortgage, commercial, consumer, agriculture, and real estate lending, and all of it had to be reviewed. The bank was also navigating a changing regulatory environment with new requirements and expectations.
The Solution
First Financial Bank sought a solution that would help it review information from across its large footprint, delivering data-driven insights that reveal how well the bank is serving its Community Reinvestment Act (CRA) assessment areas—including low- to moderate-income census tracts—while uncovering new opportunities. The bank found what it needed in Ncommunity, a secure, web-based analytics software that enables banks to measure and manage CRA performance to ensure CRA compliance. Ncommunity helps First Financial monitor CRA compliance, assist with exam preparation, reduce the reporting burden, and gain insights about marketing and sales opportunities. More than 10 different users are aligned through their work on the platform. After modeling the bank’s board-approved assessment area, Ncontracts reviews the data for quality, imports it into the Ncommunity platform, and ensures that everything is ready for analysis. Ncommunity then crunches the numbers, and a compliance analyst reviews the geocoded maps and analysis reports to get a sense for the story the data tells and performs a final round of quality checks.
Operational Impact
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
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”

Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis

Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.

Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.

Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
Enhancing Security and Compliance in Remitly's Global Money Transfer Service with Fastly
Remitly, an online remittance service, was faced with the challenge of securing its proprietary global transfer network. The company needed a security solution that could meet PCI requirements and protect customers' sensitive transactions through its mobile application. The solution had to be capable of defending against new and emerging attack types without impacting performance. Remitly also had to deal with irregular traffic patterns, such as a sudden spike in account transfers from a small network segment on the Pacific coastline of South America. The company needed to determine in real time whether such traffic indicated an attack or valid requests. A traditional web application firewall (WAF) would not be able to distinguish this traffic, potentially leading to customer frustration if the IP was blacklisted.