Western Michigan University IT Forum Conference 2024
IT Forum Conference
Schneider Hall at Western Michigan University, Kalamazoo, MI
David Cieslak, Chief Data Scientist at Aunalytics, to speak at 2024 WMU IT Forum Conference
Aunalytics is excited to participate in the 2024 Western Michigan University IT Forum Conference in Kalamazoo, MI. David Cieslak, PhD, Chief Data Scientist at Aunalytics, will be giving a talk entitled, “Returning to the Mission of AI: Solving for Workload Imbalance“. Representatives from Aunalytics will also be on hand to discuss cybersecurity, IT, and AI topics with attendees.
Do you have the tools and talent to set your organization up for analytics success?
Most business leaders would agree: data is a valuable asset. Having up-to-date, accurate data with which to make data-driven decisions currently gives organizations an edge, but eventually, this will become table stakes in most industries, simply to remain competitive. However, an up-front investment in a strong technical foundation and a shift to embrace analytics culture throughout the organization are required to achieve analytics success.
Unfortunately, there are many challenges to overcome when trying to bring siloed and dirty data from multiple sources across your business to a single place to be analyzed, including a lack of time and manpower, and the need for data points that don’t currently exist, to name a few. Using data analytics, it becomes possible to better optimize your business by discovering operational efficiencies, reducing costs, tracking customer trends across your organization, and making strategic decisions based on predictive data models. Is partnering with analytics experts the best choice for mid-sized institutions, or should you hire Full-Time Employees (FTEs) to build and manage your data?
There are multiple ways an analytics platform could be created—we’re going to look at two today.
Build it yourself
The first is choosing to create a custom data platform. While not a bad choice, it could take a FTE years to create your analytics platform—if it’s ever finished. An engineer hired to build a custom platform may leave you high and dry with no one to step in to help. Something like this could cost your business months—or even years—of lost money and productivity, leaving you with nothing to show for your platform building efforts.
Even if your data engineer remains with your business, there are other challenges you may encounter. It can be difficult for a single FTE to stay up to date on the newest technological advances and upgrades. Especially when that person is not only expected to clean and update information on thousands of data records, but also take care of system and software updates, keep up with changing trends in the analytics world, and more. A lack of manpower can also make tasks like finding trends in your data nearly impossible, as data processing may be far behind where your most recent and relevant business analytics can be found.
When it comes to advanced analytics, you would need to find and hire additional employees who are skilled in advanced data analytics, machine learning, and AI techniques, and ideally, familiar with your industry. This can be easier said than done. Data scientists, like many in the technology field, are in high demand, and may be difficult to find and hire in smaller geographical markets.
Work with a partner
A different option is working with a trusted technology partner who brings data analytics expertise straight to you. Partnering with an end-to-end provider often saves your company money while allowing someone else to take care of the nitty gritty that goes into creating reports, graphs, charts, and more. Additionally, you are guaranteed to have access to the team you need to build algorithms and find insights in your data. A partner will consistently provide you with the right tools, talent, and resources, while supporting you the entire way. But how could an Analytics as a Service partner help you find the true value of your data?
A good partner will be able to offer the required resources to achieve analytics success—a foundational data platform, automated data management, access to data experts, and data delivery methods such as relevant and actionable dashboards and reports. Imagine having a regular report, generated overnight, every night, for you to review first thing in the morning—without having to invest in many new FTEs and years of development time.
When looking for a data analytics partner, all the things above are important for creating a successful partnership that leads to analytics success. Aunalytics provides data processing and analytics help and would never expect you to go it alone. When you hire us, you hire data scientists, data engineers, and data analysts, reducing the need for multiple expensive FTEs. By having access to a team of data experts by your side, your business can find itself enabled to make better, faster, and smarter decisions based on consistent, real-time data.
Catalyst University 2023
Catalyst University 2023
Radisson Plaza Hotel, Kalamazoo, MI
Aunalytics to Attend 2023 Catalyst University
Aunalytics is excited attend Southwest Michigan First’s Catalyst University 2022 in Kalamazoo, MI. Aunalytics is participating as a speaker sponsor and is pleased to present Mitch Albom, who is a best-selling author, journalist, screenwriter, playwright, radio and television broadcaster, and musician.
Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service
Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service
Many financial institutions have struggled to efficiently and consistently use AI technologies for strategic and operational purposes. To meet this need, the Aunalytics® Innovation Lab was established to provide deep insights to midsize financial services organizations lacking large AI budgets. This combination of powerful analytics and intelligence services with an experienced data science team allows organizations to gain access to an affordable alternative to HyperCloud-based AI solutions.
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Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service
Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service
Many financial institutions have struggled to efficiently and consistently use AI technologies for strategic and operational purposes. To meet this need, the Aunalytics® Innovation Lab was established to provide deep insights to midsize financial services organizations lacking large AI budgets. This combination of powerful analytics and intelligence services with an experienced data science team allows organizations to gain access to an affordable alternative to HyperCloud-based AI solutions.
Aunalytics Introduces Enterprise Analytics as a Managed Service for Enterprises in Secondary and Tertiary Markets
Leading Data Management and Analytics Provider Couples Powerful Data Management and AI-driven Analytics Technology with a Team of Data Scientists and Engineers so Enterprise Organizations Can Remain Competitive and Thrive in Today’s Data-driven Environment
South Bend, IN (November 16, 2022) - Aunalytics, a leading data management and analytics company delivering Insights-as-a-Service for mid-market businesses, announced today it has initiated Enterprise Analytics, a managed service comprised of experts in data analytics, data engineering, artificial intelligence (AI) and machine learning. The new solution couples the tools and technology required to help enterprises achieve their analytics objectives for business success.
Organizations need an enterprise data strategy and AI-powered analytics intelligence to better understand their customers, provide insights for new products and services, and improve operational excellence. Yet enterprises in secondary and tertiary markets are often challenged with hiring and retaining the technical talent needed to develop and execute complex analytics solutions.
Analytics typically poses difficulties in three areas:
- Data – Data is often siloed, dirty, and difficult to join; data points that are needed don’t exist; and it’s a challenge to share insights rapidly across the enterprise.
- Technology – Legacy data warehouses were not set up for the volume, variety, and velocity of today’s data; data is based on systems of record, not for analysis; and automation and integration capabilities are lacking, as are machine learning and AI capabilities.
- People – Hiring and retaining needed technical talent is time intensive; data science expertise and AI resources are difficult to find; and IT teams can find it overwhelming with where to start.
Aunalytics offers an all-in-one platform that includes an advanced cloud infrastructure, top level security and compliance with 24/7/365 monitoring, comprehensive data management and analytics, and AI- and machine learning-powered data analytics. The company’s pool of data scientists and engineers work alongside its customers’ data, IT, and business intelligence teams in a partnership model that facilitates their business outcomes.
Enterprise Analytics delivers distinct advantages that help companies achieve return on their investment (ROI):
- Managed analytics services overcome secondary and tertiary market difficulty in hiring and retaining the talent needed for an analytics program.
- Powerful industry-specific analytics with predictive capabilities built by Aunalytics’ data scientists enables customers to competitively position for the future.
- Transactional data mining transforms data into an asset for growth.
- Enterprise Analytics is an end-to-end solution, meaning customers don’t need to piece together technologies; Aunalytics brings the talent and technology to do it all, from data integration to data-driven insights.
- An approach that prioritizes stronger vs. weaker use cases maximizes both short-term and long-term ROI; within the first 90 days, Aunalytics will estimate potential ROI for the highest priority use cases. This customer intelligence model has been shown to generate 390% ROI in the first year.
“We understand the challenges that enterprises in secondary and tertiary markets face when striving for digital transformation, which is a requirement for all organizations who want to remain competitive and thrive in today’s business environment,” said Kyle Davis, Vice President of Managed Analytics, Aunalytics. “Organizations partner with Aunalytics for both the technology and expertise they need to realize value from their data. Analytics is a program, not a project. We extend their in-house teams so they have the consistent long-term expertise it takes to achieve ROI and business outcomes from data analytics.”
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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. Aunalytics’ data management 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, Aunalytics’ side-by-side digital transformation model 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
