2023 CULytics Summit
2023 CULytics Summit
Microsoft Conference Center, Redmond, WA
Aunalytics to attend and speak at the 2023 CULytics Summit in Redmond, WA
Aunalytics is thrilled to attend and speak at the 2023 CULytics Summit—in-person for the first time after a three year hiatus! Aunalytics is excited to participate in two speaking sessions. Ryan Wilson, VP, Client Relationships, will be presenting a demo of 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. Meanwhile, Taylor Oake, Account Executive – Enterprise Analytics, will be joining Brent Hepner of 3Rivers FCU to present the case study, “Discovering Business Value Through AI-Powered Business Intelligence & Predictive Analytics: A Successful Partnership.”
Ohio Credit Union League InVest48
Ohio Credit Union League InVest48
Hilton Downtown Columbus Tower, Columbus, OH
Aunalytics to attend InVest48, the Ohio Credit Union League's Annual Conference
Aunalytics is pleased to attend InVest48, the annual conference of the Ohio Credit Union League. Aunalytics will be meeting with attendees and giving demos at booth #416. 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.
2023 Fintech Meetup
Fintech Meetup 2023
Aria, Las Vegas, NV
Aunalytics to attend the 2023 Fintech Meetup in Las Vegas as Bronze Sponsor
Aunalytics is excited to attend the 2023 Fintech Meetup in Las Vegas, Nevada. Aunalytics will be meeting with attendees and giving demos at booth SC1 on how financial institutions can use AI-driven insights to improve customer and member engagement and increase wallet share. Event attendees can learn more about the 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.
Customer Intelligence Insights are Reliant on Accurate Data
It’s 10pm, do you know where your customer data is?
Jokes aside, is your data organized in a form that you can easily use, review, and make critical business decisions from? Or is disorganized data slowing down your decision-making and preventing your organization from utilizing customer intelligence to enhance the customer experience and grow your business?
Improved Enterprise Data Management Enables Customer Intelligence Analytics
In many organizations, heaps of data are coming in from multiple sources, into and out of multiple clouds and departments, with varying degrees of accuracy. This makes decision-making based on customer intelligence difficult. When your data is not cleansed, you may have multiple records for the same person, spread across your databases. It is essential for your digital maturity process to include optimizing enterprise data management—finding all disparate data, cleansing, and aggregating it, and creating a single, correct client record—your single source of truth.
With enterprise data management and a robust data analytics platform working together, your customer data and prospect lists become more reliable, you save money on marketing materials, and, with the right analytics platform, can more easily implement AI solutions to send the right offer to the right customer at the right time. An analytics platform can mean taking your client records and improving them, their data, and your ability to make data-driven decisions about your prospects’ and customers’ needs.
A Customer Intelligence Analytics Database, like Aunalytics’ Daybreak Analytics Database, not only provides daily insights, compiled overnight and ready for you first thing in the morning, but also gives you access to a robust data platform and actionable industry-relevant smart features to enable various analytics solutions, helping you create a strategy that will lead to positive outcomes for your customers. With a streamlined system for your organization to find, access, store, and manage your data, along with an analytics platform bringing data to your fingertips, you don’t have to worry about which version of a client record you will find today, which version of the client’s name is what she prefers to go by, or what the correct version of her address is.
A side-by-side approach with a technology partner is the best way to access tools like Artificial Intelligence (AI), machine learning (ML), predictive analytics, and a team of experts by your side to provide support and assist you every step of the way. Look for a provider who supports an end-to-end process, making sure you don’t get stuck in the middle and left hung out to dry when making your journey to better enterprise data management, analytics, and, ultimately, digital maturity.
Banking Institutions Are Behind in AI Maturity—Catch Up or Others Will Eat Your Lunch
Banking Institutions Are Behind in AI Maturity—Catch Up or Others Will Eat Your Lunch
Financial institutions must embrace the use of data analytics powered by artificial intelligence for operational efficiency, risk reduction, revenue growth, and improved customer experience. Yet, it’s clear that financial companies that fail to pick up the pace, moving ahead to the next phase of AI deployment, are in danger of falling far behind. Luckily, there is a clear-cut solution to reaching AI maturity and achieving sustained, long-term success.
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Banking Institutions Are Behind in AI Maturity—Catch Up or Others Will Eat Your Lunch
Banking Institutions Are Behind in AI Maturity—Catch Up or Others Will Eat Your Lunch
Financial institutions must embrace the use of data analytics powered by artificial intelligence for operational efficiency, risk reduction, revenue growth, and improved customer experience. Yet, it’s clear that financial companies that fail to pick up the pace, moving ahead to the next phase of AI deployment, are in danger of falling far behind. Luckily, there is a clear-cut solution to reaching AI maturity and achieving sustained, long-term success.