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


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.


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.


Integrate Wrangle Siloed Data into a Single Source of Truth

Integrate & Wrangle Siloed Data into a Single Source of Truth with Aunsight Golden Record

Integrate Wrangle Siloed Data into a Single Source of TruthAunsight Golden Record™ gives your organization the ability to easily integrate and wrangle siloed data from disparate systems into a cleansed, single source of truth across your enterprise. Our cloud-native platform cleanses data to reduce errors. Golden Record as a Service matches and merges data together into a single source of accurate business information. As a result, you receive access to consistent, trusted data across your organization in real-time for better decision making.

With Aunsight Golden Record, you don’t need dedicated resources with deep technical knowledge of code writing, data mapping, and building data models to perform months of mapping projects or build custom APIs. Pre-built smart API plugins easily profile your data and connect your sources to the platform in minutes. With a large library of available plugins, Aunsight Golden Record integrates all of your data sources and third party sources. From data silos to clean, integrated data to golden records of accurate business information.

Watch the video below to learn more about Aunsight Golden Record:

Aunsight Golden Record includes features that automate tasks required to the integrate and wrangle siloed data:
  • Data Integration: No custom code or glue code required to use our platform. We’ve done the heavy lifting—just configure and go. Powerful pre-built connectors enable seamless integrations in minutes.
  • Data Mapping: Auto-map to all your data sources. No more gruesome mapping projects to move your data. Find the data you are looking for quickly and easily with automatic schema discovery.
  • Data Quality: Automated data quality checks, cross system comparisons and data quality notifications help you set and enforce data quality standards. Use data profiling results to set quality checks based upon expected values, ranges and anomalies.
  • Data Matching & Merging: Automate de-duplication and relationship discovery of data across all your systems using fuzzy matching algorithms and ML on individual data fields. Combine data in motion in real-time from multiple sources to build and maintain a Golden Record that can be trusted.
  • Data Governance: Data flow events are automatically retained and captured to show you where data came from and where it goes—changes made to your data over time are tracked in our audit trail timeline. Build a data catalog or dictionary as a foundation for governance.
  • Data Delivery: Replicate your Golden Records of accurate business information forward to data warehouses, data lakes, dashboards or reporting applications. Our bidirectional sync allows you to write the accurate information back to source systems so that your entire organization operates off of the same information.

Our solution provides technology and automation of data integration and wrangling, so you can focus on achieving business outcomes. Click here to learn more about Aunsight Golden Record.


Failure to follow Data Privacy Compliance requirements can be costly

Failure to follow Data Privacy Compliance requirements can be costly. How can you prepare your business?

GDPR, CCPA and the newly coming CPRA (which goes into effect 1/1/2023) require intense data management, or the cost of non-compliance can rise to $1000 per record. These data privacy laws pertain broadly to personal information of consumers including:

  • Account and login information
  • GPS and other location data
  • Social security numbers
  • Health information
  • Drivers license and passport information
  • Genetic and biometric data
  • Mail, email, and text message content
  • Personal communications
  • Financial account information
  • Browsing history, search history, or online behavior
  • Information about race, ethnicity, religion, union membership, sex life, or sexual orientation

CPRA requires businesses to inform consumers how long they will retain data (for each category of data) and the criteria used to determine that time period of what is “reasonably necessary.” Basically, you have to be prepared to justify the data collection, processing, and retention and tie it directly to a legitimate business purpose.

Now prohibited is “sharing” data (beyond buying and selling it), which is defined as: sharing, renting, releasing, disclosing, disseminating, making available, transferring or otherwise communicating orally, in writing, or by electronic of other means, a consumer’s personal information by the business to a third party for cross-context behavioral advertising, whether or not for monetary or other valuable consideration, including transactions between a business and a third party for the benefit of a business in which no money is exchanged. Arguably, this covers a business working with a marketing firm and sharing data with the agency about leads or prospects to employ cross-content behavioral advertising in a campaign.

Companies now need to be able to inform the consumer what type of data they have about customers, what business purposes it is used for, and retention periods. This information allows them to meet the expanded consumer rights given by the CPRA, including deleting data, limiting types of use for certain types of data, correcting data errors across the organization in every location where it lives, automating and executing data retention policies, and to be ready for auditing. While it is an ethical ruleset that has now been put in place, with Data Privacy Compliance active, companies now have to consider possible non-compliance costs in addition to operational and opportunity costs as well.

As a result of these requirements, companies are now in need of a data management system with built-in data governance to stay in compliance. These data management platforms must be capable of identifying, on a data field-by-data-field basis, where the data originates, each and every change made to the data, and each downstream user of the data (databases, apps, analytics, queries, extracts, dashboards). Without automated data management and governance, it will be humanly impossible to manually find this information by the deadlines required. You need to be able to automatically replicate changes made to the data to all locations where the data resides throughout your organization to make consumer directed corrections and deletions within the time limits prescribed.


Critical Success Factors for Data Accuracy Platforms

The data accuracy market is currently undergoing a paradigm shift from complex, monolithic, on-premise solutions to nimble, lightweight, cloud-first solutions. As the production of data accelerates, the costs associated with maintaining bad data will grow exponentially and companies will no longer have the luxury of putting data quality concerns on the shelf to be dealt with “tomorrow.”

When analyzing major critical success factors for data accuracy platforms in this rapidly evolving market, four are critically important to evaluate in every buyer’s journey. Simply put, these are: Installation, Business Adoption, Return on Investment and BI and Analytics.

Installation

When executing against corporate data strategies, it is imperative to show measured progress quickly. Complex installations that require cross-functional technical teams and invasive changes to your infrastructure will prevent data governance leaders from demonstrating tangible results within a reasonable time frame. That is why it is critical that next-gen data accuracy platforms be easy to install.

Business Adoption & Use

Many of the data accuracy solutions available on the market today are packed with so many complicated configuration options and features that they require extensive technical training in order to be used properly. When the barrier to adoption and use is so high, showing results fast is nearly impossible. That is why it is critical that data accuracy solutions be easy to adopt and use.

Return on Investment

The ability to demonstrate ROI quickly is a critical enabler for securing executive buy-in and garnering organizational support for an enterprise data governance program. In addition to being easy to install, adopt, and use, next-gen data accuracy solutions must also make it easy to track progress against your enterprise data governance goals.

Business Intelligence & Analytics

At the end of the day, a data accuracy program will be judged on the extent to which it can enable powerful analytics capabilities across the organization. Having clean data is one thing. Leveraging that data to gain competitive advantage through actionable insights is another. Data accuracy platforms must be capable of preparing data for processing by best-in-class machine learning and data analytics engines.

Look for solutions that offer data profiling, data enrichment and master data management tools and that can aggregate and cleanse data across highly disparate data sources and organize it for consumption by analytics engines both inside and outside the data warehouse.