2023 CULytics Day
2023 CULytics Day
Aunalytics to showcase Daybreak at 2023 CULytics Day
Aunalytics is pleased to be a Gold Sponsor of 2023 CULytics Day, where we will be sharing information on how AI can be used to help credit unions discover insights in their data and gain a more complete view of their members. Aunalytics’ cloud-native data platform, Daybreak™ for Financial Services, enables users to focus on critical business outcomes. Daybreak seamlessly integrates and cleanses data for accuracy, ensures data governance, and employs AI and machine learning to glean intelligence from transactional data.
CBAO 49th Annual Convention
CBAO 49th Annual Convention
Glass City Center, Toledo, OH
Aunalytics Attending the CBAO 49th Annual Convention
Aunalytics is excited to exhibit at booth #519 during the 2023 Community Bankers of Ohio 49th Annual Convention in Toledo, OH. Representatives from Aunalytics will be educating attendees on how financial institutions can use AI-driven insights to improve customer engagement and increase wallet share. Event attendees can also learn more about the Daybreak™ for Financial Services solution which enables community banks to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
Financial Institution Cyber Attacks Are on the Rise—Your Institution Is Not Immune
With recent uncertainty in the economy and bank closures hitting the news this year, you may be scrambling to find ways to increase deposits to protect your institution. But a larger, more urgent risk has always been lurking. With over half of financial institutions reporting cyber attacks in a single year, your organization may be next.
Nearly every day we learn of new horror stories from financial institutions who were the victims of elaborate attacks—in fact, 55% reported being a victim of a cyber-attack in a single year.
Bad actors are becoming more sophisticated in their methods. These prevalent attacks have high costs to your business uptime and productivity. A bad attack can also damage your reputation due to closure and data loss, while still costing your bank or credit union large sums of money to pay off ransoms—and you may not even get all of your data back.
Financial institutions hit by cyber-attacks pay, on average, $272,655 in ransom payments. And the average overall cost to remediate the ransomware attack in this sector is $1.59 million.
Do you know where your data lives?
Where you store your data matters, and your storage location may not be optimal for disaster recovery. Storing your backups locally, even if located at another of your facilities, may not protect your data from unknown risks.
In-house servers require large capital expenditures, and you miss out on economies of scale for regular upkeep and maintenance. Giant vendors may seem convenient, but you won’t know exactly where your data resides, and you lose control over the environment.
There’s a better way—Aunalytics backup and disaster recovery solutions can help you avoid losing data or paying large ransoms. We offer concierge solutions tailored to community banks and credit unions—helping you stay steps ahead of increasingly malicious attackers.
Backup and disaster recovery solutions enable the continuous operations of an organization during a disaster event, whether it involves a set of networks or servers, or when all primary IT services have become unavailable. Our solutions leverage the power of data, analytics, and Machine Learning. Disaster Recovery Services, coupled with a comprehensive backup and archival strategy, allow you to remain confident that you are prepared should your business encounter a disaster event.
Investment in Artificial Intelligence is Vital for Banks and Credit Unions
Has your bank or credit union made investments in artificial intelligence yet?
Advances in artificial intelligence (AI), and the promise it holds for the future, have been making news all year. And it’s no wonder that financial institutions are taking notice—a recent survey from the Economist Intelligence Unit found that 77% of bankers believe that unlocking value from AI will be the differentiator between winning and losing banks. Yet, many institutions are falling behind in AI maturity.
Despite its promise, making a large investment in artificial intelligence may seem risky to many midsized financial institutions. Hiring talent, developing a data management and analytics strategy, building a data platform, and creating AI models can be both time- and resource-intensive. Banks and credit unions want to ensure that the efforts spent to get an AI program off the ground will yield a high ROI, especially in times of economic uncertainty. Yet, failure to innovate and make progress toward digital transformation is not always an option in the highly competitive landscape.
Financial institutions find many uses for AI technologies
Thankfully, an investment in artificial intelligence can improve many processes across an institution. AI can optimize both time- and resource-intensive tasks, decrease risk, and increase revenue by improving the customer experience. For instance, by applying AI and machine learning algorithms to transactional data, banks and credit unions can gain insights into customers or members’ habits and preferences. Some use cases include:
- Detecting and preventing fraud
- Identifying loan default risk at the time of application
- Predicting customer churn
- Winning back business by discovering customer payments going to competitors, and subsequently making a more attractive offer
- Predicting the next best product for each customer then targeting them with the right product at the right time
- Calculating customer value scores in order to better allocate resources to target more valuable customers
Don’t get left behind
Large banks are already utilizing artificial intelligence use cases at scale. In a recent letter to shareholders, Jamie Dimon, Chief Executive Officer of JPMorgan Chase wrote, “Artificial intelligence (AI) is an extraordinary and groundbreaking technology. AI and the raw material that feeds it, data, will be critical to our company’s future success—the importance of implementing new technologies simply cannot be overstated.”
Because of this focus, his company has made tremendous investments in AI. They currently have over 300 AI use cases in production, and employ almost 3,000 people in data management, data science, and AI-research-related roles. This underscores how vital these new technologies are to success in the future.
Unfortunately, not every institution has access to talent and technology at the scale of JPMorgan Chase. That’s why Aunaytics has developed a cloud-based data and analytics platform to provide data management, advanced reporting, and predictive AI and machine learning solutions for midsized community banks and credit unions.
Daybreak for Financial Services allows institutions to learn more about their customers and members in order to provide a better overall experience—which in turn reduces risk, increases wallet share, and reduces expenses.
2023 IBA/OBL Annual Convention
2023 IBA/OBL Annual Convention
Fairmont Chicago - Millennium Park, Chicago, IL
Ryan Wilson of Aunalytics Speaking at 2023 IBA/OBL Annual Convention
Aunalytics is pleased to announce that Ryan Wilson, VP, Client Relationships at Aunalytics, was chosen to present at the 2023 IBA/OBL Annual Convention in Chicago, IL. His presentation is entitled, “How to Win Wallet Share while Cutting Costs in Operations”. This presentation will examine how financial institutions can use AI-driven insights to improve customer engagement and increase wallet share. He will also share how Aunalytics empowers banks through our Daybreak™ for Financial Services solution, which enables community banks to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
Why You Should Include an Analytics Platform in your Banking Software Arsenal
Banking software is vital to the success of all financial institutions. With an increasing focus on digital transformation, banks and credit unions amass a collection of platforms and software systems. Financial institutions not only rely on their banking core, but also CRM systems, online and mobile banking applications, loan management software, payment processing systems, and wealth management, risk, and compliance software, to name a few. Not only do these systems make banking more efficient, but they are collecting data that can be used to improve the business itself.
How can financial institutions best utilize their existing data? Thanks to their existing banking software, every institution holds valuable information about each customer or member that can be used to increase their lifetime value. PWC estimates that banks can generate a 70% return on initiatives targeting existing customers versus 10% when targeting new customers. Therefore, one of the best ways to use data to achieve better returns and higher margins is to focus on improving the customer or member experience.
Having access to an abundance of data points across various systems presents a tremendous opportunity to strengthen existing relationships—but it also poses a challenge. While each banking software system includes valuable information, it does not give the whole story. The problem for many institutions is that they have no way of getting a complete, 360-degree view of each individual from disparate software systems.
The Importance of an Analytics Platform
That is why a data and analytics platform is essential. An analytics platform can aggregate data from multiple systems, cleanse and organize that data into a 360-degree customer view, then apply artificial intelligence (AI) and machine learning algorithms to gain data-driven insights.
Once an analytics platform has been implemented, there are many customer intelligence use cases that can help banks and credit unions target the right customers, with the right offer, at the right time, including:
- Gaining transaction insights – Gaining access to transaction data, paired with AI and machine learning, gives great insights into consumer spending habits and preferences.
- Identifying competitor payments – By mining transactional data, financial institutions can discover customer payments going to competitors, then use that information to reach out to customers or members and win back business with a more attractive offer.
- Generating product recommendations – With access to data points from several software systems, machine learning and AI models can make predictions such as the next best product to offer for each customer.
- Predicting churn – AI algorithms identify trends in transactional data, and determine which customers are most likely to churn—so financial institutions can take actions to prevent it.
- Calculating Customer Lifetime Value – An analytics platform can calculate customer value scores based on a large number of relevant data points using AI and machine learning. Banks and credit unions can use this information to allocate resources toward targeting customers with higher customer lifetime value scores.
These are just a few of the ways banks and credit unions can implement insights from a data and analytics platform that mines data from across their organization’s many software systems. Once the platform is implemented, any number of use cases can be developed using AI and machine learning—getting the data collected, aggregated, updated, cleansed, and organized for analytics is one of the largest obstacles for organizations.
Thankfully, Aunalytics has developed a robust data and analytics platform called Daybreak for Financial Services. Daybreak provides all of these services and more to make sure your bank or credit union is making the most of its banking software data to reduce risk, optimize processes, increase revenue, and most importantly, improve the customer or member experience.
Indiana Bankers Association Mega Conference 2023
Indiana Bankers Association Mega Conference 2023
Indiana Convention Center, Indianapolis, IN
Aunalytics is excited to attend the 2023 IBA Mega Conference
Aunalytics is pleased to attend the 2023 Indiana Bankers Association Mega Conference. Aunalytics will be meeting with attendees and giving demos at booth #107. Representatives from Aunalytics will be educating attendees on how financial institutions can use AI-driven insights to improve customer engagement and increase wallet share. Event attendees can also learn more about the Daybreak™ for Financial Services solution which enables community banks to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
2023 MBA Perry Schools of Banking
MBA Perry Schools of Banking
Kellogg Center, East Lansing, MI
Drew Conley of Aunalytics Speaking at 2023 MBA Perry School of Banking
Aunalytics is pleased to announce that Drew Conley, Daybreak Relationship Manager at Aunalytics, was chosen to present at Michigan Bankers Association’s Perry Schools of Banking. His presentation is entitled, “How to Win Wallet Share while Cutting Costs in Operations”. This presentation will examine how financial institutions can use AI-driven insights to improve customer engagement and increase wallet share. He will also share how Aunalytics empowers banks through our Daybreak™ for Financial Services solution, which enables community banks and credit unions to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
2023 Wisconsin Credit Union League Convention & Expo
2023 Wisconsin Credit Union League Convention & Expo
Kalahari Resort & Convention Center, Wisconsin Dells, WI
Aunalytics to attend the 2023 Wisconsin Credit Union League Convention & Expo
Aunalytics is pleased to attend 2023 Wisconsin Credit Union League Convention & Expo. Aunalytics will be meeting with attendees and giving demos at booth #320. Representatives from Aunalytics will be educating attendees on how financial institutions can use AI-driven insights to improve customer and member engagement and increase wallet share. Event attendees can also learn more about the Daybreak™ for Financial Services solution which enables credit unions to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
