The Value of Data Visualization

The Value of Data Visualization

In this brief video, Dr. David Cieslak, Chief Data Scientist at Aunalytics, discusses the value that data visualization brings to data analytics. Whether you’re using a simple tool such as Excel or a BI software such as Tableau, creating a visual representation of your data allows it to be consumed by a much broader and less technical audience. Whether you’re a marketing specialist, a loan officer, or a bank president, a well-designed and up-to-date dashboard greatly improves your ability to understand and work with your data in a way that lists and spreadsheets can’t.

Aunalytics’ Daybreak Dashboards for Financial Institutions offer a variety of data visualization options such as the Customer Profile dashboard, which provides a 360-degree view of each customer, the Lending KPI dashboard, which provides overall and detailed lending performance across your organization, and the Marketing KPI dashboard, which allows for targeted campaigns to reach the right customer at the right time with the right product. With Aunalytics, you get the technology and the expertise required to turn your disparate data into easily understandable insights through the Daybreak Dashboards.

David Cieslak, PhD, is the Chief Data Scientist at Aunalytics since its inception and leads its Innovation Lab in the development and delivery of complex algorithms designed to solve business problems in the manufacturing/supply chain, financial, healthcare, and media sectors. Prior to Aunalytics, Cieslak was on staff at the University of Notre Dame as part of the research faculty where he contributed on high value grants with both the federal government and Fortune 500 companies. He has published numerous articles in highly regarded journals, conferences, and workshops on the topics of Machine Learning, Data Mining, Knowledge Discovery, Artificial Intelligence, and Grid Computing.


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.

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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.

Aunalytics partners with organizations to build analytics solutions

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.


Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service

Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service

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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.

Accelerating Midsize Financial Institution Business Outcomes with AI Intelligence as a Service
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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

Article

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.”

 

Tweet this: .@Aunalytics Introduces Enterprise Analytics as a Managed Service for Enterprises in Secondary and Tertiary Markets #Dataplatform #DataAnalytics #Dataintegration #Dataaccuracy #AdvancedAnalytics #ArtificialIntelligence #AI #Masterdatamanagement #MDM #DataScientist #MachineLearning #ML #DigitalTransformation

 

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


How to Increase Customer Engagement: Leveraging First Party Data with Data Analytics

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How to Increase Customer Engagement: Leveraging First Party Data with Data Analytics

Financial institutions understand that customer growth is critical for success—both acquiring new customers and, just as importantly, reengaging existing customers. Strengthening customer engagement extends their lifetime value, lowers customer acquisition costs for new business, leads to better business outcomes, and expands revenue growth. Using the data that you already have in-house, coupled with data analytics and predictive modeling, will drive smarter marketing campaigns that increase customer engagement.

How to Increase Customer Engagement_ Leveraging First Party Data with Data Analytics
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How to Increase Customer Engagement: Leveraging First Party Data with Data Analytics

Article

How to Increase Customer Engagement: Leveraging First Party Data with Data Analytics

Financial institutions understand that customer growth is critical for success—both acquiring new customers and, just as importantly, reengaging existing customers. Strengthening customer engagement extends their lifetime value, lowers customer acquisition costs for new business, leads to better business outcomes, and expands revenue growth. Using the data that you already have in-house, coupled with data analytics and predictive modeling, will drive smarter marketing campaigns that increase customer engagement.


Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments

Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments?

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Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments?

Investing in digital transformation technologies can be a waste of money if your company forgets one important point. That point is, no matter how cutting edge the tech or tool may be, people are needed with specific technical expertise in order to derive true business value from these investments.

Unlike large enterprises, mid-market companies often try to find this expertise in their IT manager, hoping a jack-of-all-trades approach will take care of it. This is an unfortunate mistake, since it would require the IT manager to have unusual command over a long laundry list of duties, from data integration, ingestion, and preparation to data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on-premises environments. This is not just a tall order for a mid-market IT manager to pull off, but likely an impossible one.

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