Aunalytics Selected as Nominee for Tech Company of the Year at the 2024 Mira Awards, Presented by TechPoint of Indiana
South Bend, IN (February 26, 2024) – Aunalytics, a South Bend based technology company announced today that it has been selected as one of four nominees for Indiana Tech Company of the Year at the 2024 Mira Awards.
“Aunalytics is proud of this nomination and the work by our team to be recognized in this way. We believe the fusion of artificial intelligence and advanced IT are bringing about a seismic transformation within the business landscape, and those traditional businesses like banks, healthcare providers and manufacturers located in secondary markets where technological resources are scarce face a disproportionate challenge” stated Rich Carlton, President of Aunalytics.
“This recognition of the execution of our mission—to be the advanced computing infrastructure and primary advisors, powering analytics and IT innovation to traditional businesses—is greatly appreciated” concluded Carlton.
The Mira Awards, hosted by TechPoint, an organization headquartered in Indianapolis, annually recognizes outstanding achievements in the technology sector in Indiana. Over the span of 25 years, these awards have served as a platform to celebrate the advancements made by the tech community, offering a valuable opportunity for innovators statewide to convene, network, and recognize excellence in digital innovation.
“We look forward to celebrating the 25th anniversary of Indiana’s most prestigious tech and innovation awards at a new venue,” said TechPoint President and CEO Ting Gootee. “Even more exciting is the level of excellence, innovation and resilience outlined in each entry and even more so by those whose efforts elevated them to status as a Mira Award nominee. It is truly Indiana’s biggest night for innovation.”
Next month, Aunalytics, along with the other nominees, will be interviewed by panels consisting of founders, executives, community leaders, and subject matter experts. The winners will be announced at the TechPoint Mira Awards gala Friday, April 26, 2024, at the Old National Centre in Indianapolis.
The other nominees for Tech Company of the Year include Authenticx, an Indianapolis-based AI company in the healthcare space, Baker Hill, a financial services software provider based out of Carmel, IN, and Republic Airways, a Carmel-based regional airline.
About Aunalytics
Aunalytics revolutionizes the way businesses harness the power of data and IT to mold their strategic and operational decisions. Aunalytics offers services across the entire spectrum of transformation from cloud infrastructure and IT services to advanced analytics and AI. Understanding that businesses in traditional industries don’t just need tools, Aunalytics stands apart by going beyond software and hardware—providing the guidance and expertise to navigate the complexities of adopting innovation.
Each business is unique—Aunalytics offers a holistic solution that empowers legacy organizations to embrace innovation with confidence by seamlessly integrating technology with strategic analysis, counsel, and hands-on management rooted in years of experience. Aunalytics provides the tools to not only survive but to thrive in the data-driven future, enabling businesses to pioneer innovation while retaining their essence.
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.
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Hiring and retaining staff is going to be the most difficult task facing CFOs for much of 2023. This is particularly true for IT departments. In today’s economy, highly skilled IT and data experts are a scarce and expensive resource. The mid-market organization requires another option that provides access to the right tools, resources, and support.
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Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Hiring and retaining staff is going to be the most difficult task facing CFOs for much of 2023. This is particularly true for IT departments. In today’s economy, highly skilled IT and data experts are a scarce and expensive resource. The mid-market organization requires another option that provides access to the right tools, resources, and support.
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.
How An End-to-End Analytics Solution Helps You Avoid Hidden Costs
As the new year approaches, digital transformation should be at the top of every mid-market organization’s to-do list. As organizations begin to understand the value of business analytics for their daily operations, the need for an end-to-end analytics solution becomes evident. Yet, many companies struggle to obtain the right analytics solutions to fit their specific needs.
Unfortunately, the analytics solution market can be difficult to navigate. Since building an analytics tool in-house is incredibly time-consuming and very costly, many mid-market companies would be better served by working with a solution provider who can provide both the tools and talent necessary to achieve their business goals.
Digital Transformation Roadblocks
One major roadblock in the pursuit of digital evolution is determining how much an analytics solution is going to cost. Analytics solutions are complex, and when an analytics company gives a quote, they often fail to mention additional add-ons their solution needs to be functional. For instance, charges for a third-party cloud to host your analytics solution and individual charges for connectors that allow your disparate data sources to flow into the solution are the most common up-charges.
Your organization could get stuck with unexpected licensing fees or overage charges from a third-party cloud provider. Worse yet, you may end up piecing together various technologies, while lacking the adequate technical talent to keep the solution functioning and show actionable results. To achieve value from your investment, it is vital to look for a partner that can provide you with a solution where extra charges do not come into play. Budgets are an integral part of the decision-making process when it comes time to choose a solution provider.
With hidden costs, figuring out how a particular solution is going to fit into your budget becomes increasingly difficult. The most effective solution is opting for a partner who can provide your company with an end-to-end analytics solution.
Why Mid-Market Organizations Need End-to-End Analytics Solutions
To compete with larger institutions, mid-market organizations need to leverage their existing local data to gain insights to better serve their clients. An end-to-end solution ensures you do not end up with a solution your team cannot utilize to achieve your business goals and thrive in an increasingly competitive market.
It is a known fact that mid-market businesses struggle with retaining talent for data management, IT, security, and advanced analytics. Opting for an end-to-end solution gives you access to a team of experts who will always be by your side, assisting you every step of the way.
With Aunalytics, you get the technology and the expertise required to complete your journey from disparate data to actionable business results. Using our platform, your entire organization can reap the benefits of having a reliable and robust data platform.
Aunalytics Provides a Complete, End-to-End Analytics Solution for Mid-Sized Organizations
Aunalytics offers an end-to-end analytics solution that includes the right technology paired with experts who work by your side to help you accomplish your business goals. The technology, combined with the technical talent necessary to fully utilize it, will help your organization achieve true value from your investment. End-to-end analytics solutions provide you with insights from your data so you can concentrate on critical business decisions. No longer do you have to worry about overages, licensing costs or other additional charges. Aunalytics has the answers to your business and IT questions.
The Aunalytics Data Platform is a robust, cloud-native data platform built for universal data access, powerful analytics, and AI. It includes the following components:
- Aunalytics Enterprise Cloud provides a highly redundant, secure, and scalable platform for hosting servers, data, analytics, and applications at any performance level.
- Aunsight Golden Record integrates and cleanses siloed data from disparate systems for a single source of accurate business information across your enterprise.
- Daybreak Analytics Database provides daily insights powered by Artificial Intelligence (AI) and Machine Learning (ML) driven analytics, industry intelligence, and smart features that enable a variety of analytics solutions and timely actionable insights that drive strategic value across your company.
This end-to-end platform enables your business to extract answers from your data without having to worry about additional charges that might break your budget. Our solutions are secure, reliable, and scalable, all according to your business’ needs. Aunalytics solutions seamlessly integrate and cleanse your valuable data for accuracy, ensuring data governance and employing Artificial Intelligence (AI) and Machine Learning (ML) driven analytics to glean customer intelligence and timely actionable insights that drive strategic value.
Using our solution, team members across your organization can reap the benefits of having an end-to-end analytics solution to make data-driven decisions. Company executives can view data cleansed into an accurate golden record that is streamed in real-time to enable better decision making for the entire organization. Your organization’s marketing team can have access to aggregated data that reveals a 360-degree view of your customer, including insights into customer behavior, that empowers them to run data-driven campaigns to the right customer, at the right time, with the right product. Your IT department can ensure that you are functioning at peak efficiency by analyzing the data collected to scale resources and identify potential roadblocks and bottlenecks. Those are just a few departments that would benefit—think about how powerful a real-time analytics solution could be across your entire organization.
Top 3 Actions for CIOs to Take Now in a Recession Economy
Top 3 Actions for CIOs to Take Now in a Recession Economy
The current economy poses a triple threat for business: persistent high inflation; scarce expensive talent; and global supply constraints. However, there are 3 actions CIOs should take to play offense to emerge from a recession on top.
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Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.
Aunalytics Launches Security Patching Platform as a Service
Expedited Software Patching and Updating Recognized as One of the Most Important Processes to Protect Against System Compromise from Cyberattacks
South Bend, IN (September 27, 2022) – Aunalytics, a leading data management and analytics company delivering managed IT and data platform services for mid-sized and enterprise businesses, today initiated its Security Patching Platform, Co-managed Patching as a Service to complement the company’s Advanced Security solution suite. Windows OS and supported 3rd party patch management allow for tighter security in the defense against cyberattacks and the new offering ensures active remediation.
According to a 2022 Data Breach Investigations Report by Verizon, around 70 percent of successful cyberattacks exploited known vulnerabilities with available patches, making it important to update operating systems and applications regularly to prevent such attacks. Now, Aunalytics’ new technology as a service includes the tools, structure, strategy and intelligence for managing patch deployment and is a complete solution with best practices, templates, libraries, and built-in alert thresholds.
Lack of security patching leads to vulnerabilities within an organization’s information systems, internal controls, or system processes, which can then be exploited by cybercriminals. Using a collection of tools, cyber attackers use the vulnerability to gain unauthorized access to corporate systems and data. Identifying and resolving vulnerabilities is very important since a successful exploit can lead to a full-scale system breach.
Workstation and server application patching ensures that organizations have baseline protection against the latest security vulnerabilities, preventing such attacks before they occur. However, patching can be difficult to manage and update in real-time as software fixes are published on an ongoing basis. Setting up and coordinating manual patching across an organization can be extremely cumbersome, taking days to organize, schedule, and execute across an entire company.
McKinsey cites good patch management as a top proactive maintenance measure that can help organizations prevent cyberattacks. However, knowing the priority level for patch installment can be confusing and lead to poor patch management as a result. Enlisting the help of a partner to employ security patching best-practices can add true value to many organizations. Aunalytics patch detection, download, and installment methods are developed considering each client’s security and uptime requirements and prioritized in order of threat potential. Aunalytics’ experienced security patching team proactively monitors for updates, eliminating worry for end users and server administrators.
As part of the new service, users gain access to comprehensive security solutions with customized alerting and vulnerability prioritization, leveraging proprietary solutions and processes. The platform facilitates collaboration between IT and security teams and includes the following capabilities:
- Inventory and performance management and proactive alerting
- Patch deployment control strategy, prioritization, planning
- Patch vetting and blacklisting intelligence
- Windows Operating System patch management
- Supported 3rd Party Patch Management
- Anti-Malware
- DNS-based Malware Protection
- Device Encryption Management
- Innovative management tool library
“Security patch exploits can have extremely damaging effects on an organization, decreasing revenues or causing reputational damage, making it imperative to have security patching in place,” said Chris Nicholson, Vice President of Managed IT Services. “Aunalytics’ Security Patching Platform services allow for the rapid resolution of these concerns to maintain the highest levels of cyber-resiliency.”
About Aunalytics
Aunalytics is a leading data management and analytics company delivering Insights-as-a-Service for mid-sized businesses and enterprises. Selected for the prestigious Inc. 5000 list for two consecutive years as one of the nation’s fastest growing companies, Aunalytics offers managed IT services and managed analytics services, private cloud services, and a private cloud-native data platform for data management and analytics. The platform is built for universal data access, advanced analytics and AI — unifying distributed data silos into a single source of truth for highly 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 for accurate mission-critical insights. To solve the talent gap that so many mid-sized businesses and enterprises located in secondary markets face, through its side-by-side digital transformation model, Aunalytics provides the technical talent needed for data management and analytics success in addition to its innovative technologies and tools. 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
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Most mid-market companies make one mistake or another when investing in a data analytics platform, not understanding the many intricacies associated with preparing their data to get the best results. Some of the most common mistakes include:
- Not realizing they need to build pipelines to get the data from their multiple data sources to the analytics platform
- Tasking IT with implementing a data analytics solution, when the IT department does not have data science skillsets
- Basing analytics on data that is riddled with errors, incomplete, or stale, which compromises quality of decision-making due to the inaccuracy and tardiness of the underlying data.
- Relying on the reporting function of one data source and not taking into account data beyond that source for decision-making
- Using dashboards that provide insights into the past only, and not the future – a gap that needs to be bridged to compete with larger enterprises
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Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Most mid-market companies make one mistake or another when investing in a data analytics platform, not understanding the many intricacies associated with preparing their data to get the best results. Some of the most common mistakes include:
- Not realizing they need to build pipelines to get the data from their multiple data sources to the analytics platform
- Tasking IT with implementing a data analytics solution, when the IT department does not have data science skillsets
- Basing analytics on data that is riddled with errors, incomplete, or stale, which compromises quality of decision-making due to the inaccuracy and tardiness of the underlying data.
- Relying on the reporting function of one data source and not taking into account data beyond that source for decision-making
- Using dashboards that provide insights into the past only, and not the future – a gap that needs to be bridged to compete with larger enterprises
It should also be noted that analytics requires massive storage and compute to mine data for actionable insights. Even in a cloud environment, which is less costly to maintain than on-premise servers, data analytics takes up a huge amount of compute to mine transactional data for AI-driven insights. Most data warehouses used by mid-market companies are not built for analytics, and their contracts with public cloud vendors for data storage often incur huge overage charges for compute spikes as millions of calculations are being completed for algorithms to converge for analytics results. Data analytics needs a cloud built for analytics. The mid-market should demand a built-in analytics cloud from an analytics solution, without a third-party public cloud contract to make it work (or attempt to host it in their regular institution data storage).
Industry Knowledge is Key
One of the most important aspects to understand is that there is no one-size-fits-all when it comes to data analytics. The value lies in industry specific data models, which must be built with algorithms using salient data points for a specific industry and appropriately weighted for that industry. For example, to build customer revenue in financial services, mining transactional banking data is important to reveal if a customer is doing business with competing financial institutions so that action can be taken to win this business over. In manufacturing, comparing product inventory at various channels and channel or retail sales locations is important for discerning sales performance and growth opportunities. In healthcare, mining insurance reimbursement claims for underpayments to recapture lost revenue requires comparisons of contracted amounts and fee schedules for multiple private insurance companies, plan coverages, and more. The true business value of analytics lies in industry specific data models and the data enrichment made possible by deep learning and the generation of actionable insights.
The Importance of Having the Right Expertise
This brings us to the requirement for data scientists and business analysts, which assist with achieving powerful and current actionable insights that lead to AI-driven decision-making and better business outcomes. Data scientists build algorithms to detect trends, patterns and predictions based upon the data, to position an enterprise for the future. Business analysts are industry specific and connect the dots between the data points relevant for answering business questions in that particular industry. They also help to design dashboards and other data visualizations to ensure that the insights generated answer questions important to that industry using industry-specific terminology, and analyze analytics results in the context of industry knowledge to reveal growth drivers and other opportunities for driving revenue. Typical IT departments do not have these skill sets.
Data Analytics Platform Requirements
Consider these questions when evaluating a data analytics platform:
- Which data sources are forming the basis for the insights: Is the analysis based upon only some of the data, leaving out important data sources? Do the analytics use the most important data points? Is too much data or the wrong data being used?
- How is the data cleansed for accuracy: To judge the accuracy of the insights, know what is being done to eliminate errors in the underlying data being analyzed. Garbage in leads to exponential garbage out when data is turned over to AI. Can the data be trusted?
- Which algorithms are being used to find insights: Is it a specialized or generic deep learning model? Is it optimized for the type of inquiry or result being sought? Is it tailored to a specific industry and weighted appropriately for that industry and the question posed? Can the results be trusted?
- Are the analytics results providing actionable insights such as how to grow revenue, improve efficiency or achieve other business outcomes? Are the results tied to solving business challenges, and not just AI for the sake of being cool?
Side-by-Side Approach
Most mid-market companies are not in the business of IT or data science. IT is a necessary administrative function for operating a business, but should not become the main focus of most non-tech mid-market companies. However, given the expertise needed to use and maintain most analytics solutions, and the cost of data expert professionals as FTEs, the cost of data management and analytics can quickly overtake mainline business COGS expenses. Given all the complexities and challenges associated with unlocking the true value of data analytics, a new approach is needed that mid-market businesses can afford, enabling them to leverage AI-driven analytics and more effectively compete.
A side-by-side service model offers an alternative that goes beyond most tools and platforms on the market by providing a data platform with built-in data management and analytics, as well as access to human intelligence in data engineering, machine learning, and business analytics. Ideally it should operate as a cloud-based platform with a subscription service that places the burden of the data engineering expertise, technical tooling, and building and maintaining the infrastructure on the data management provider.
While many companies offer tools, and many consulting firms can provide guidance in choosing and implementing the tools, integration of all the tools and expertise in one end-to-end solution built for non-technical business users is key for digital transformation success for midmarket businesses.
