22 Technology First Taste of IT

Aunalytics Brings Its Portfolio of Managed Services, Enterprise Cloud, and Data Cleansing Solutions to Taste of IT Conference in Ohio

Leading Data Management and Analytics Company to Join More Than 400 IT Professionals for a Day of Networking and Learning

South Bend, IN (November 15, 2022)Aunalytics, a leading data management and analytics company delivering Insights-as-a-Service for mid-market businesses, will feature its managed services, enterprise cloud, and data cleansing portfolio at the Taste of IT Conference on November 16, 2022. The one-day event, which will be attended by more than 400 IT professionals, will be held at the Sinclair Conference Center in Dayton, Ohio.

Aunalytics provides IT and security expertise to mid-market businesses in the areas of financial services, healthcare, manufacturing and professional services. The company’s Secure Managed Services offering combines mission critical IT services leveraging zero-trust end-to-end security to ensure data is protected regardless of a user’s location. Aunalytics provides managed components that offer stability and security, and its next-generation managed services offering is powered by a data platform that provides data-driven IT answers and embedded security that focuses on people and access.

The full suite of managed IT and integrated security services empowers businesses with a complete, all-encompassing approach that includes 24/7/365 monitoring and management, a synchronized network security platform, workstation and server patching, internet protection, email filtering and security, Office 365 management and security, multi-factor authentication, data and device encryption management, and security awareness training.

The company delivers advanced security for defending against modern threats through a team of engineers and analysts with expert skills and toolsets and, in regulated industries, Aunalytics provides the additional technology and controls required to manage risk. Its team of experts is dedicated to analyzing ever-changing rules and regulations and helping users to create processes and policies for data protection and meet compliance requirements within those industries that are regulated.

Aunalytics’ Enterprise Cloud offering is comprised of infrastructure solutions that provide a highly redundant and scalable platform for hosting servers, data, analytics and applications at any performance level. With the Aunalytics® Cloud Storage and Compute solution, users are assured the highest levels of security, accessibility, expertise, scalability, and savings. Aunalytics’ data centers, located in Northern Indiana and Southwest Michigan, meet the most rigorous standards for security, weather protection, temperature and humidity controls, fire suppression and more.

As data continues to expand exponentially, the challenge of data cleansing is rapidly becoming more difficult, as well as expensive. Aunalytics’ Aunsight™ Golden Record turns siloed data from disparate systems into a single source of truth across the organization. Powered with data accuracy, the cloud-native platform cleanses data to reduce errors, and Golden Record as a Service matches and merges data together into a single source of accurate business information, giving users access to consistent, trusted data across the organization in real-time. With this self-service offering, users can unify all their data to ensure enterprise-wide consistency and better decision making.

“IT executives want practical, real-world knowledge about business changing technology and management solutions that are absolutely critical to drive their businesses forward,” said Robert Lizotte, Local Market Leader, Columbus Region, Aunalytics. “As digital transformation continues to be a high priority for many organizations, our portfolio of managed services, enterprise cloud, and data cleansing solutions provides the tools they need to accelerate their digital transformation journeys. We look forward to participating at a Taste of IT and demonstrating how Aunalytics can help IT professionals advance their business success.”

 

Tweet this: .@Aunalytics Brings Its Portfolio of Managed Services, Enterprise Cloud, and Data Cleansing Solutions to Taste of IT Conference in Ohio #ToIT22  #Datamanagement #Informationtechnology #Managedservices #Enterprisecloud #Datacleansing #Dataplatform #Dataintegration #Dataaccuracy #Digitaltransformation #ITsecurity #Securitytechnology

 

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


Don't Let Your Data Work Against You—Your Organization Needs a Single Source of Truth

Don't Let Your Data Work Against You—Your Organization Needs a Single Source of Truth

As the business landscape continues to evolve and become more data-driven every day, organizations need to go through an intense digital transformation to remain competitive. The need to leverage data to maximize business opportunities and revenue is evident. While at one time technologies were built solely for enterprises, now most mid-sized businesses are beginning to invest in data analytics solutions. But before successfully deploying an analytics solution, there might be a major organizational problem to deal with—your dirty data might be getting in the way of getting accurate analytics. What you need is a single source of truth.

Gain a Complete, Accurate Picture of Customers

Let’s pretend you have a client named Emily Miller. Your marketing department has Emily logged in their CRM, while the sales team has their information in a spreadsheet that they update daily. The service department logs their tickets and complaints in their own solution, while accounting has Emily’s invoices in yet another system. We’re talking about one person, but there are multiple versions of Emily’s data across your organization, siloed in different departments. While we know Emily’s name, her interactions with your organization and all the data related to her is scattered across your organization. Departments have partial information that is specific to Emily, but it might be inconsistent business unit to business unit. This means that no one can see the complete picture of who this customer is to your company.

Don't Let Your Data Work Against You—Your Organization Needs a Single Source of Truth (2)

If analytics is based upon data from one business unit, it will undoubtedly result in inaccurate or incomplete insights. If you switch analytics to be based upon a different data source or aggregate multiple data sources with conflicting information, you still get inaccurate analytical results. Basing your organization’s analytics only on a part of a client’s data has a negative impact on your organization’s goals. A single source of truth ensures you have a full, 360-degree picture of your clients and leads to dependable, daily analytics you can trust.

Utilize a Solution That Ensures Data Accuracy

An analytics platform such as Daybreak with built-in data integration and cleansing, or a data accuracy solution such as Aunsight Golden Record enables your organization to integrate and wrangle siloed data from disparate sources to a cleaned and accurate single source of truth. Matching and merging dirty data into a single source of information will result in you receiving consistent, accurate data from across your organization. With clean, accurate data for your reporting you can be prepared for better decision-making, allowing you to progress towards your business goals faster than ever before.

If your departments are using different data sources, using that information for client analytics is counterproductive. This situation is akin to your hands working separately from each other and adversely affecting your end goals. You need to bring your company-wide data together and combine it into a single source of truth. Having clean information with input from all your departments going into a single analytics solution sets you up for actionable insights that work along with you—not against you.


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.


Mi-GMIS 2022 Fall Conference

Aunalytics to Showcase Its Portfolio of Managed Services, Enterprise Cloud, and Data Cleansing Solutions for IT Professionals at the 2022 Mi-GMIS Fall Conference in September

Leading Data Management and Analytics Company Provides the Tools Michigan IT Pros Need to Improve Operational Efficiencies and Provide the Highest Levels of IT Security to Their Organizations

South Bend, IN (September 15, 2022) - Aunalytics, a leading data management and analytics company delivering Insights-as-a-Service for mid-market businesses, announced today it will participate in the 2022 Mi-GMIS Fall Conference on September 18-21 in Boyne Falls, Michigan. The event is hosted by the Michigan Government Management Information Sciences and will bring together government IT professionals across the state of Michigan whose role is to meet the informational needs of their organization’s employees and to play an instrumental part in achieving organizational goals using IT resources. The conference program is designed to keep IT professionals abreast of best practices and industry trends, and how they can be applied to their organizations productively and economically.

Aunalytics will feature its managed services, enterprise cloud, and data cleansing portfolio. The company provides IT and security expertise to mid-market businesses in the areas of cities and local government, financial services, healthcare, manufacturing and professional services. The company’s Secure Managed Services offering combines mission critical IT services leveraging zero-trust end-to-end security to ensure data is protected regardless of a user’s location. Aunalytics provides managed components that offer stability and security, and its next-generation managed services offering is powered by a data platform that provides data-driven IT answers and embedded security that focuses on people and access.

The full suite of managed IT and integrated security services empowers businesses with a complete, all-encompassing approach that includes 24/7/365 monitoring and management, a synchronized network security platform, workstation and server patching, internet protection, email filtering and security, Office 365 management and security, multi-factor authentication, data and device encryption management, and security awareness training.

The company delivers advanced security for defending against modern threats through a team of engineers and analysts with expert skills and toolsets and, in regulated industries, Aunalytics provides the additional technology and controls required to manage risk. Its team of experts is dedicated to analyzing ever-changing rules and regulations and helping users to create processes and policies for data protection and meet compliance requirements within those industries that are regulated.

Aunalytics’ Enterprise Cloud offering is comprised of infrastructure solutions that provide a highly redundant and scalable platform for hosting servers, data, analytics and applications at any performance level. With the Aunalytics® Cloud Storage and Compute solution, users are assured the highest levels of security, accessibility, expertise, scalability, and savings. Aunalytics’ data centers, located in Northern Indiana and Southwest Michigan, meet the most rigorous standards for security, weather protection, temperature and humidity controls, fire suppression and more.

The company’s cloud offering has achieved Federal Risk and Authorization Management Program (FedRAMP) Ready status and is actively working toward FedRAMP certification. Certified cloud-based products help U.S. federal agencies meet increasingly complex regulations and defend against cybersecurity threats, prevent data loss, enforce compliance, and protect agency domains.

“Government IT professionals across the state of Michigan face similar challenges and opportunities, and are eager for real-world knowledge about emerging technology and management solutions,” said Steven Burdick, Vice President Sales – Cloud, Aunalytics. “Our portfolio of managed services, enterprise cloud, and data cleansing solutions provides the tools they need to improve operational efficiencies and provide the highest levels of IT security. We look forward to meeting with IT pros at the Mi-GMIS Fall Conference and demonstrating how Aunalytics can help them meet the needs of employees and advance their organizations’ goals.”

Tweet this: .@Aunalytics to Showcase Its Portfolio of Managed Services, Enterprise Cloud, and Data Cleansing Solutions for IT Professionals at the 2022 Mi-GMIS Fall Conference in September #Informationtechnology #Managedservices #Enterprisecloud #Datacleansing #Dataplatform #Dataintegration #Dataaccuracy #Digitaltransformation #ITsecurity #Securitytechnology

 

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, 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 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.


Why Mid-Market Organizations Need Digital Transformation Solutions that Combine the Right Technology and Talent to Achieve Business Value

Why Mid-Market Organizations Need Digital Transformation Solutions that Combine the Right Technology and Talent to Achieve Business Value

At Aunalytics, we know that an organization’s everyday data holds value, yet is a resource that often remains untapped. This is especially true for the mid-market—this market segment has been underserved and often lacks access to data management and analytics technologies and expertise. Our mission is to empower the mid-market with solutions that enable digital transformation so they can compete and stay relevant.

Digital transformation calls for mid-market companies to shift away from operational silos and work across the company to harness the power of data. This requires the integration of diverse technology across all functional business areas to enable convergence, promote a positive cultural change, drive customer value, and facilitate operational agility. Gartner’s report “Over 100 Data and Analytics Predictions Through 2025” asserts that by 2024, 75% of organizations will have established a centralized data and analytics center of excellence to support federated data and analytics initiatives and prevent enterprise failure. By 2023, organizations with shared companywide data management goals, including stewardship, governance, and semantics to enable inter-enterprise data sharing, will outperform those that don’t.

There is a recipe for successfully transforming massive amounts of corporate and third-party data created and used daily in your lines of business into a valuable asset. But to achieve business outcomes, organizations need to implement digital transformation solutions that include the right technologies/tools combined with the right talent.

 

Aunalytics End-to-end platform

The Right Tools and Technology

Mid-market companies generally do not currently have the tools needed to find value in their data through advanced analytics and AI. An enterprise data warehouse is only one piece of the puzzle. Successful mid-market digital transformation requires the appropriate storage and compute infrastructure, data management platform, and analytics software. It can be difficult to piece together each of these components into a single, unified system—it is expensive, time-consuming, and inefficient.

To solve this challenge, Aunalytics has developed a robust, cloud-native data platform built for universal data access, powerful analytics, and AI. Mid-market businesses benefit from using an end-to-end, cloud-based platform as it moves the burden of infrastructure procurement and maintenance to a third-party vendor in the data industry. An end-to-end platform is secure, reliable, and scalable while including the added benefit of being deployed and managed as a service. This is especially important for mid-market businesses because finding the right talent to execute digital transformation initiatives is extremely challenging in the current market.

 

The Right Talent and Expertise

Most IT departments do not currently have the skill sets needed for getting business value out of data. At the same time, for most mid-market companies, it does not make business sense to hire an entire division of highly compensated data experts to achieve digital transformation goals. Even if a mid-market company can find and hire these scarce resources—they were hard to come by even before the Talent War of 2022.

Experts by your sideEstablishing a side-by-side partnership with a data platform company is the key to gaining the benefits of working with experts including cloud engineers, data engineers, security experts, data scientists and other highly skilled technical resources to achieve true business value. By getting expert help, you can devote your company’s time, resources, and innovation to your business and focus on what you do best.

Aunalytics provides a team of experts who assist every step of the way. Mid-market businesses will have access to the right tools, resources, and support throughout our end-to-end process. Our team also includes industry experts who help businesses identify areas in which data can provide the most value, and guidance on how to work toward achieving these goals.

 

Aunalytics’ Digital Transformation Solution Gives Mid-Sized Businesses Answers

 

Tools + Talent = Business Outcomes

 

With Aunalytics, you get the technology and expertise required to complete the journey from data to actionable business results. This combination accelerates digital transformation, which allows businesses to realize the value of their investment quickly. By taking advantage of the experienced data professionals at Aunalytics, organizations can save time and avoid making costly mistakes while also maximizing the value currently hidden in their data.


eBook: What Mid-Market Companies Need for Data-Driven Success and How to Get It

eBook

What Mid-Market Companies Need for Data-Driven Success and How to Get It

Using your data as an asset to drive competitive business growth and achieve cost cutting operational efficiencies is imperative for a company to compete, survive, and thrive. Increasingly, data and analytics have become a primary driver of business strategy and the potential of data-driven business strategies is greater today than ever.

eBook - What Mid-Market Companies Need for Data-Driven Success
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What Mid-Market Companies Need for Data-Driven Success and How to Get It

eBook

What Mid-Market Companies Need for Data-Driven Success and How to Get It

Using your data as an asset to drive competitive business growth and achieve cost cutting operational efficiencies is imperative for a company to compete, survive, and thrive. Increasingly, data and analytics have become a primary driver of business strategy and the potential of data-driven business strategies is greater today than ever.