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.

Hidden costs for analytics-01
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.


Top 3 Actions for CIOs to Take Now in a Recession Economy

Top 3 Actions for CIOs to Take Now in a Recession Economy

Article

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.

Top 3 Actions for CIOs to Take Now in a Recession Economy
Fill out the form below to receive a link to the article.

Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.

Get Started


Aunalytics Launches Security Patching Platform as a Service

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

Article

Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand

Man working on code at desk with multiple monitorsMost 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

To read more, please fill out the form below:


Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand

Article

Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand

Man working on code at desk with multiple monitorsMost 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

Aunalytics partners with organizations to build analytics solutionsMost 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.


Top 3 Actions for CIOs to Take Now in a Recession Economy

Top 3 Actions for CIOs to Take Now in a Recession Economy - PDF

Article

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.


How to Manage Your Data for the Best Business Outcomes

Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes

Article

Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes

Data management is more than just moving data to a data lake or the cloudTo make data usable, you need data management. While some think of data management simply moving your data into a cloud or a data lake, it’s much more than this. True data management should focus on making data informative by correlating and integrating data from multiple disparate sources and systems across your organization, adding third-party sources and transactional data created in daily operations.

Data management should also include:

  • Cleansing the data to reduce errors
  • Normalizing it so that aggregated information may be used for reporting, analytics, and better decision-making
  • Governance for compliance with regulated industry and data privacy laws, and to ensure authorized access
  • An audit trail of changes made to the data and which systems are using it

To read more, please fill out the form below:


How to Manage Your Data for the Best Business Outcomes

Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes

Article

Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes

Data management is more than just moving data to a data lake or the cloudTo make data usable, you need data management. While some think of data management simply moving your data into a cloud or a data lake, it’s much more than this. True data management should focus on making data informative by correlating and integrating data from multiple disparate sources and systems across your organization, adding third-party sources and transactional data created in daily operations.

Data management should also include:

  • Cleansing the data to reduce errors
  • Normalizing it so that aggregated information may be used for reporting, analytics, and better decision-making
  • Governance for compliance with regulated industry and data privacy laws, and to ensure authorized access
  • An audit trail of changes made to the data and which systems are using it

Cost Concerns

It’s a big job, so it’s no surprise that enterprise-sized companies often have a financial advantage over the mid-market when it comes to data management. That’s because while enterprises likely have in-house teams with the necessary data management skillsets, it’s cost-prohibitive for most mid-market companies to invest in the technical talent needed for data engineering and management. Most mid-market companies do not have the data engineering expertise needed to use data management tools and technologies within their in-house IT team, or their IT team is too busy vigilantly keeping systems stable and secure—which should be IT’s primary and full-time focus.

Nearly half of IT professionals believe that data management is a significant barrier to digital transformation because digital processes and technologies such as the cloud are rapidly evolving and increasingly sophisticated. McKinsey & Company points out that the COVID-19 pandemic significantly accelerated these trends. This means successful data integration and management requires advanced data experts whose job is to stay current on quickly evolving data management technologies, which can be challenging for the mid-market to acquire. And even if you can find this talent, it often does not make financial sense for the mid-market to hire FTEs to obtain the skillsets needed for success. 

Heavy Investment

The average company spend on data management in 2021 was $250,000Nevertheless, finding an effective way to integrate data management is non-negotiable for organizations of any size. Our modern way of doing business includes multiple decentralized data sources and applications, often chosen by separate business units for what works best in their daily operations. This means that in order to get a complete picture of your business, data from multiple cloud sources, on premise sources and third party sources needs to be integrated to keep corporate information consistent across the organization and ensure that decision-making is based on an accurate complete picture of the business. Insights for Professionals found that in 2022, 62 percent of senior IT leaders and company executives surveyed plan to invest in data management, with three-quarters honing in on digital technology and data integration. Gartner reported that in 2021, each company’s average spend on data management tools was close to $250,000. Insights for Professionals results show that in 2022, 30% of IT experts intend to invest up to $500,000 on data management, with around one-quarter planning to spend even more.

Looking ahead to 2024, Gartner also reports that cloud-native platforms will serve as the foundation for more than 75 percent of new digital workloads. This statistic is particularly meaningful for mid-market companies, where end-to-end solutions become a lifeline to leverage cloud technology efficiencies and advancements without the need for hiring in-house expert skill sets. The right end-to-end solution for the mid-market pairs the right combination of tools and technologies with access to the expert talent needed to achieve value and success. The right end to end solution includes everything so that mid-market companies need not spend years trying to piece together a solution out of countless possible tools and technologies. Building it just takes too much time and resources away from the primary business of most mid-market companies—and the mid-market does not have time to wait for this and thrive against competitive pressure from large enterprises.

By 2024, Gartner predicts that three quarters of organizations will have deployed multiple data hubs to drive data and analytics, since companies should only make decisions based on a complete picture of their data. But for mid-market companies with affordability concerns, few solutions meet the need for data management technology that enables companywide data integration as well as third-party data.

Solutions for the Mid-Market

The Aunalytics Innovation Lab develops AI solutions for midsized financial institutionsSince mid-market firms that want to stay competitive can’t afford to fall behind enterprise-sized companies when it comes to data management, what can they do? Mid-market companies need technical experts to help build solutions, and research shows these solutions will be cloud-based. Insights for Professionals found that in 2022, close to two-thirds (63 percent) of senior IT leaders and company executives surveyed expect to invest in cloud infrastructure as a service. It makes sense over trying to maintain servers on-premise, recognizing that on-premise solutions have morphed into dinosaurs. According to Gartner, 85 percent of companies will have moved to a cloud-first approach by 2025.

Yet most hyper-scaler cloud service providers are priced for large enterprises, particularly to get the level of help that mid-market companies require. What’s more, many enterprise hyperscalers don’t offer data management, since their services focus only on migrating data to third-party cloud vendor platforms. Mid-market businesses need a hyperscaler capable of providing data management within a mid-market budget.

To ensure that important business decisions are not made based on inaccurate information, the mid-market needs an affordable data-cleansing solution.

Ideally, this means that data management would transform the data into decision-ready, analytics-ready status, including transactional data that sheds light on operations and customer behaviors. Gartner predicts that through 2024, half of organizations will adopt modern data quality solutions to better support digital business initiatives. To keep from falling behind, the mid-market must follow suit.

The Key to Consistency

In order to keep data consistent across the organization, another solution for the mid-market is to adopt master data management (MDM). MDM helps to ensure that if a customer’s contact information is updated through customer support, for example, then accounting and all other functional business units will receive the updated information. If data is kept in multiple siloes, operational efficiency decreases as employees spend time trying to track down data for reporting, analyzing, and determining which details are correct.

MDM technology has traditionally only been accessible to large enterprises due to its high cost, as most MDM platforms are a huge expense and implementation takes more than a year to achieve. These platforms typically also require highly skilled FTEs to use and maintain, which can be another cost consideration that rules out mid-market companies.

The answer to successful mid-market data management is to establish a side-by-side partnership with a data platform company to gain the benefits of working with experts and gain access to highly skilled technical resources to achieve true business value. By getting this help, you can devote your company’s time, resources, and innovation to your business and focus on what you do best.


Focusing on Business Outcomes Leads to Analytics Success

Most organizations today realize that their everyday data holds value, yet is a resource that often remains untapped. Community banks and credit unions in particular are beginning to see the necessity of investing in these initiatives to compete with large banks and fintechs. However, despite investment in technology solutions that enable advanced analytics, many organizations still fail to succeed in realizing the value. According to Gartner, through 2022, only 20% of analytic insights will actually deliver business outcomes. Why do so many of these projects fail? For many organizations, they lack a clear vision of success. Their success measures should not be to simply build a data warehouse or hire a data analyst. The success measures should center around specific business outcomes.

In the video clip below, Rich Carlton, President and Chief Revenue Officer at Aunalytics, talks about how the right combination of technology, data and analytics talent, and a focus on achieving specific business objectives leads to analytics success.

Aunalytics provides an end-to-end data and analytics solution, including the technology, talent and expertise to help organizations focus on achieving actionable business outcomes. This insights-as-a-service model removes the pressure of building up an analytics infrastructure so businesses can focus their energies on realizing the value in their data much sooner. To learn more about how Aunalytics empowers community banks and credit unions with the ability to turn their data into actionable insights, watch our webinar, “Enhance Customer Experience and Increase Market Share with AI-Driven Personalized Interactions.”


Aunalytics is a 2022 Inc. 5000 Honoree

Aunalytics Selected for Inc. Magazine’s 5000 List of the Nation’s Fastest-growing Private Companies for Two Years in a Row

Leading Cloud Data Management & Analytics Company Demonstrates Continued Momentum With its Focus on Helping Mid-market Businesses Accelerate Their Digital Transformation

 

South Bend, IN (August 18, 2022) - Aunalytics, a leading data management and analytics company delivering Insights-as-a-Service for mid-market businesses, has been named by Inc. magazine as one of the nation’s fastest-growing private companies included in its annual Inc. 5000 list. This marks the second consecutive year that Aunalytics earned a spot on the prestigious ranking, representing a one-of-a-kind look at the most successful companies within the economy’s most dynamic segment—its independent businesses. Facebook, Chobani, Under Armour, Microsoft, Patagonia, and many other well-known names gained their first national exposure as honorees on the Inc. 5000.

“The accomplishment of building one of the fastest-growing companies in the U.S., in light of recent economic roadblocks, cannot be overstated,” said Scott Omelianuk, editor-in-chief of Inc. “Inc. is thrilled to honor the companies that have established themselves through innovation, hard work, and rising to the challenges of today.”

The companies on the 2022 Inc. 5000 have not only been successful, but have also demonstrated resilience amid supply chain woes, labor shortages, and the ongoing impact of Covid-19. Among the top 500, the average median three-year revenue growth rate soared to 2,144 percent. Together, those companies added more than 68,394 jobs over the past three years.

Aunalytics offers a robust, cloud-native platform built to deliver enterprise data management, powerful analytics, and AI-driven answers. From the onset, Aunalytics has been dedicated to empowering enterprise and mid-sized businesses located in secondary and tertiary markets, with advanced data management and analytics tools. Typically in these markets, the technical talent needed to use, maintain, and achieve value from the solution is scarce. Aunalytics provides its technology as a managed service paired with the expert talent needed to achieve ROI.

The analytics portion of the platform represents Aunalytics’ unique ability to unify all the elements necessary to process data and deliver AI end-to-end, from cloud infrastructure to data acquisition, organization, and machine learning models – all managed and run by Aunalytics as a secure managed service. Aunalytics continues to gain traction in industries such as financial services, healthcare, and manufacturing where companies are challenged with undertaking the digital transformation required to succeed in the modern world.

“We’re thrilled to be selected for the Inc. 5000 two years in a row – this truly demonstrates the accelerated growth Aunalytics has experienced as a result of providing advanced talent and tools that are typically not affordable for mid-market businesses,” said Rich Carlton, President of Aunalytics. “Our goal from the very beginning has been to address the midsize business sector and we remain committed to serving the best interests of our customers in this category because it is so critical for both innovation and the economy.”

Complete results of the Inc. 5000 can be found at www.inc.com/inc5000.

 

Tweet this: .@Aunalytics Selected for Inc. Magazine’s 5000 List of the Nation’s Fastest-growing Private Companies for Second Consecutive Year #Inc5000 #Dataplatform #Dataanalytics #Dataintegration #Dataaccuracy #AdvancedAnalytics #ArtificialIntelligence #AI #Masterdatamanagement #MDM #DataScientist #MachineLearning #ML #DigitalTransformation #FinancialServices

 

About Inc.

The world’s most trusted business-media brand, Inc. offers entrepreneurs the knowledge, tools, connections, and community to build great companies. Its award-winning multiplatform content reaches more than 50 million people each month across a variety of channels including websites, newsletters, social media, podcasts, and print. Its prestigious Inc. 5000 list, produced every year since 1982, analyzes company data to recognize the fastest-growing privately held businesses in the United States. The global recognition that comes with inclusion in the 5000 gives the founders of the best businesses an opportunity to engage with an exclusive community of their peers, and the credibility that helps them drive sales and recruit talent. The associated Inc. 5000 Conference & Gala is part of a highly acclaimed portfolio of bespoke events produced by Inc. For more information, visit www.inc.com.

For more information on the Inc. 5000 Conference & Gala, visit https://conference.inc.com/.

 

About Aunalytics

Aunalytics is a data platform company delivering answers for your business. 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