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Aunalytics to Showcase Its Advanced Data Analytics Solution for Mid-market Banks and Credit Unions at August Financial Services Events

Leading Data Platform Provider Will Feature Its Aunalytics Daybreak for Financial Services and How Data-driven Marketing Can Help Win Business and Strengthen their Position in Regional Markets

South Bend, IN (August 9, 2022)Aunalytics, a leading data platform company delivering Insights-as-a-Service for mid-market businesses, announced today its participation at three financial services events in August. The company will showcase its DaybreakTM for Financial Services advanced data analytics solution and demonstrate how midmarket banks and credit unions can use artificial intelligence (AI)-powered data analytics to increase business wins and compete more effectively.

August events include:

Daybreak for Financial Services enables midsize financial institutions to gain customer intelligence and grow their lifetime value, predict churn, determine which products to introduce to customers and when, based upon deep learning models that are informed by data. Built from the ground up, Daybreak for Financial Services is a cloud-native data platform that enables users to focus on critical business outcomes. The solution seamlessly integrates and cleanses data for accuracy, ensures data governance, and employs artificial intelligence (AI) and machine learning (ML) driven analytics to glean customer intelligence and timely actionable insights that drive strategic value.

“Personalized marketing in a digital world matters more than ever before, especially for midmarket banks and credit unions that have traditionally relied upon hometown, white glove service to win customers,” said Katie Horvath, Chief Marketing Officer of Aunalytics. “Using Aunalytics Daybreak for Financial Services, mid-market banks and credit unions can now deploy advanced analytics to more highly personalize their interactions with customers and members. It enables them to target-market more efficiently with the right product offering at the right time, and win business away from competitors to increase revenue. We look forward to meeting with bankers and credit unions in August, and demonstrating how Daybreak for Financial Services can help them strengthen their position in regional markets and compete more effectively.”

 

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About Aunalytics

Aunalytics is a data platform company delivering answers for your business. Named a Digital Innovator by analyst firm Intellyx, and selected for the prestigious Inc. 5000 list, Aunalytics provides Insights-as-a-Service to answer enterprise and mid-sized companies’ most important IT and business questions. The Aunalytics® cloud-native data platform is built for universal data access, advanced analytics and AI while unifying disparate data silos into a single golden record of accurate, actionable business information. Its DaybreakTM industry intelligent data mart combined with the power of the Aunalytics data platform provides industry-specific data models with built-in queries and AI to ensure access to timely, accurate data and answers to critical business and IT questions. Through its side-by-side digital transformation model, Aunalytics provides on-demand scalable access to technology, data science, and AI experts to seamlessly transform customers’ businesses. To learn more contact us at +1 855-799-DATA or visit Aunalytics at https://www.aunalytics.com or on Twitter and LinkedIn.

 

PR Contact:
Denise Nelson
The Ventana Group for Aunalytics
(925) 858-5198
dnelson@theventanagroup.com


Timing is Everything in Delivering Data-Driven Insights for Bankers

Timing is Everything in Delivering Data-Driven Insights for Bankers

Many banks and credit unions have set their sights upon initiatives that would allow their teams to make informed, data-driven decisions to improve their business. But when it comes to delivering data-driven insights, timing is everything. Currently, too many mid-sized credit unions and banks rely upon reporting modules from their banking cores for trying to understand business performance and making business decisions. The problem with doing this is two-fold.

First, core reporting only shows you what happened in the past. It does not give you predictive insights for acting now or in the future. As we know, market conditions can rapidly change. Looking back on what worked for your institution three months ago may be informative on past performance, but it is of limited value in deciding what to do next. Your analysis is limited to a review of the past, and then guesswork for what to do today. This is a business review, not data analytics.

Second, by the time that most financial institutions get their core reports, it is months later. This means that if you are basing decision-making on analysis of the core reports, you are making decisions based upon stale data. As we know, market conditions can rapidly change. For example, if you are looking back 3-6 months, you may likely see strong mortgage lending performance. But as we know, with climbing interest rates and inflation, mortgages are not the hot product that they were six months ago. If you decided to double-down on marketing and sales campaigns for achieving new mortgage loans, you would not have the return on this investment that you might have had six months ago. The core report data is stale and does not reflect the market changes.

Timing is Crucial

Timing is Everything in Delivering Data-Driven InsightsFor this reason, it is critical that your team be enabled to act based upon fresh data. This allows your team to be nimble and pivot strategy as the market changes. The change in the mortgage lending business is an obvious one, given changes by the Fed in interest rates. But what about subtle changes in the market? What about changes for each of your members or customers individually in their life circumstances and behaviors? Having information on what was relevant to a customer three months ago does little to help you act today.

For example, when a member changes jobs you have a window of opportunity to market an IRA product before the member likely settles into a new 401(k). If you market the IRA to the member three months later, she likely has rolled over into the new 401(k) and you missed your opportunity. Yet if you had a data analytics solution that provided daily insights, such as a change in the income stream pattern by amount or timing of payroll deposits, this could alert you to a change in employment status as it is happening. This gives your team the ability to sell an investment product when the opportunity is ripe.

Delivering Fresh Data-Driven Insights

Only predictive data analytics can deliver daily insights at scale for all of your customers or members. By detecting trends and patterns revealing growth drivers through predictive analytics, your team can be nimble and positioned for informed decision-making. This leads to doing more of what is working and less of what is not effective in growing operating income and customer loyalty.


2022 Jack Henry Connect

2022 Jack Henry Connect

August 29 – September 1, 2022

2022 Jack Henry Connect

San Diego Convention Center, San Diego, CA

Aunalytics participates as a Beverage Break Sponsor at 2022 Jack Henry Connect

Aunalytics is excited to attend the 2022 Jack Henry Connect and sponsor the beverage break. Aunalytics will be demonstrating Daybreak™ for Financial Services at their booth. Daybreak 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.

2022 Jack Henry Connect

22 CULytics Day

2022 CULytics Day

August 22, 2022

2022 CULytics Day

Aunalytics to showcase Daybreak at 2022 CULytics Day

Aunalytics is pleased to sponsor 2022 CULytics Day, and will be hosting a virtual booth. Aunalytics has developed Daybreak™ for Financial Services, a cloud-native data platform that 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.

22 CULytics Day

Community Bankers Association of Ohio 48th Annual Conference

CBAO 48th Annual Convention

August 9-11, 2022

CBAO 48th Annual Convention

Hilton Columbus at Easton, Columbus, OH

Aunalytics is proud to be a Golf Lunch Sponsor and Exhibitor at the CBAO 48th Annual Convention

Aunalytics is excited to exhibit at the 2022 Community Bankers of Ohio 48th Annual Convention and serve as Lunch Sponsor at the Annual Golf Outing at Delaware Golf Club. Aunalytics will be demonstrating Daybreak™ for Financial Services, a cloud-native data platform which enables midsized banks to focus on critical business outcomes and make data-driven business decisions in order to compete with large financial institutions.

Community Bankers Association of Ohio 48th Annual Conference

22 OBL Bankers Cup

2022 OBL Bankers Cup

August 8, 2022

2022 OBL Bankers Cup

Jefferson Country Club, Blacklick, OH

Aunalytics excited to sponsor the 2022 OBL Bankers Cup Golf & Cornhole Tournament

Aunalytics is excited to sponsor the Ohio Bankers League’s 2022 OBL Cup Golf & Cornhole Tournament. Aunalytics has developed Daybreak™ for Financial Services, a cloud-native data platform, to enable community banks to focus on critical business outcomes and make data-driven business decisions in order to compete with large financial institutions. Aunalytics also offers a complete suite of security and managed IT services to proactively protect and maintain organizations’ technologies, allowing staff to work without interruptions.

22 OBL Bankers Cup

Daybreak Smart Features with Kate Siupinski

An Interview with Kate Siupinksi of Aunalytics: Daybreak Smart Features & Implementation

Interview

An Interview with Kate Siupinksi of Aunalytics: Daybreak Smart Features & Implementation

Kate Siupinski, Director of Client Success Advisory at Aunalytics, talks about her background in the financial services industry and how Daybreak's Smart Features benefit banks and credit unions.

Daybreak Smart Features with Kate Siupinski
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Daybreak Smart Features with Kate Siupinski

Daybreak Smart Features & Implementation: An Interview

Interview

Daybreak Smart Features & Implementation: An Interview

Kate, Director of Client Success Advisory at Aunalytics, talks about her background in the financial services industry and how Daybreak's Smart Features benefit banks and credit unions.


AI Solutions Accelerate Business Outcomes for Midsize Financial Institutions

The Aunalytics Innovation Lab develops AI solutions for midsized financial institutions
The Aunalytics Innovation Lab develops AI solutions for midsized financial institutions.

Midsize financial institutions make better decisions when they utilize AI solutions to discover insights in their data. By combining powerful analytics and intelligence services with an experienced data science team, organizations can gain access to an affordable alternative to HyperCloud-based AI solutions. The Aunalytics® Innovation Lab was established to fulfill the need for deep insights, catering to midsize financial services organizations lacking large AI budgets. This highly specialized team of data scientists produces data-driven analytic insights for companies seeking unique predictive functionality to solve mission critical business challenges.

According to a recent Deloitte survey of IT and line-of-business executives, “86% of financial services AI adopters say that AI will be very or critically important to the success of their business over the next two years. While the banking sector has long been technology-dependent and data-intensive, new data-enabled AI technology has the capability to drive innovation further and faster than ever before. AI can help improve efficiency, enable a growth agenda, boost differentiation, manage risk and regulatory needs, and positively influence customer experience.”

To speed insights for financial services customers, the Innovation Lab has developed AI-powered Smart Features. Smart Features are customized to leverage insights obtained from data-driven machine learning models. By providing extensive data science expertise to answer industry and client specific business questions, Aunalytics is showcasing the promise of data-driven intelligence for midmarket financial services. As a result, these organizations can better understand a particular customer, product or service viability through comparison to other customers and/or data. Whether there is an interest in knowing if a customer is likely to select a new financial product, her potential as a long-term customer, or any other number of questions, the Aunalytics Innovation Lab team of data scientists and financial industry business analysts are experienced and committed to answering these questions based on years of experience with other small to midsize financial establishments.

 

Smart Feature Enrichment
AI-powered Smart Features mine your data to add knowledge beyond basic statistics and aggregations.

 

“Demand for intelligence services by financial services organizations is strong in 2022. Therefore, we are building in a number of new Smart Features to enhance system capabilities,” said David Cieslak, Chief Data Scientist. “Our goal is to enable mid-market financial institutions, such as community banks and credit unions, to use data in a powerful way to enhance their personalized services to better compete against Fortune 500 banks.”

As the financial services industry is one of the top consumers of business intelligence and analytics, these organizations are on the hunt for cutting-edge technology in their mission to identify customer preferences with regard to financial products as well as the need to better understand operational systems and conditions throughout the business. Data platform and predictive analytics solution providers like Aunalytics are the primary enablers behind many next-generation initiatives and are managing the lion’s share of this work for community banks and credit unions by extracting strategic insights, prioritizing market share, expanding products/services, and monitoring key performance indicators (KPIs) to maintain operational excellence. As a result, this has supported community financial institutions to better compete against national banks by strengthening the level of decision making, while empowering white glove service with powerful data analytics.