Do you have the tools and talent to set your organization up for analytics success?
Most business leaders would agree: data is a valuable asset. Having up-to-date, accurate data with which to make data-driven decisions currently gives organizations an edge, but eventually, this will become table stakes in most industries, simply to remain competitive. However, an up-front investment in a strong technical foundation and a shift to embrace analytics culture throughout the organization are required to achieve analytics success.
Unfortunately, there are many challenges to overcome when trying to bring siloed and dirty data from multiple sources across your business to a single place to be analyzed, including a lack of time and manpower, and the need for data points that don’t currently exist, to name a few. Using data analytics, it becomes possible to better optimize your business by discovering operational efficiencies, reducing costs, tracking customer trends across your organization, and making strategic decisions based on predictive data models. Is partnering with analytics experts the best choice for mid-sized institutions, or should you hire Full-Time Employees (FTEs) to build and manage your data?
There are multiple ways an analytics platform could be created—we’re going to look at two today.
Build it yourself
The first is choosing to create a custom data platform. While not a bad choice, it could take a FTE years to create your analytics platform—if it’s ever finished. An engineer hired to build a custom platform may leave you high and dry with no one to step in to help. Something like this could cost your business months—or even years—of lost money and productivity, leaving you with nothing to show for your platform building efforts.
Even if your data engineer remains with your business, there are other challenges you may encounter. It can be difficult for a single FTE to stay up to date on the newest technological advances and upgrades. Especially when that person is not only expected to clean and update information on thousands of data records, but also take care of system and software updates, keep up with changing trends in the analytics world, and more. A lack of manpower can also make tasks like finding trends in your data nearly impossible, as data processing may be far behind where your most recent and relevant business analytics can be found.
When it comes to advanced analytics, you would need to find and hire additional employees who are skilled in advanced data analytics, machine learning, and AI techniques, and ideally, familiar with your industry. This can be easier said than done. Data scientists, like many in the technology field, are in high demand, and may be difficult to find and hire in smaller geographical markets.
Work with a partner
A different option is working with a trusted technology partner who brings data analytics expertise straight to you. Partnering with an end-to-end provider often saves your company money while allowing someone else to take care of the nitty gritty that goes into creating reports, graphs, charts, and more. Additionally, you are guaranteed to have access to the team you need to build algorithms and find insights in your data. A partner will consistently provide you with the right tools, talent, and resources, while supporting you the entire way. But how could an Analytics as a Service partner help you find the true value of your data?
A good partner will be able to offer the required resources to achieve analytics success—a foundational data platform, automated data management, access to data experts, and data delivery methods such as relevant and actionable dashboards and reports. Imagine having a regular report, generated overnight, every night, for you to review first thing in the morning—without having to invest in many new FTEs and years of development time.
When looking for a data analytics partner, all the things above are important for creating a successful partnership that leads to analytics success. Aunalytics provides data processing and analytics help and would never expect you to go it alone. When you hire us, you hire data scientists, data engineers, and data analysts, reducing the need for multiple expensive FTEs. By having access to a team of data experts by your side, your business can find itself enabled to make better, faster, and smarter decisions based on consistent, real-time data.
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Hiring and retaining staff is going to be the most difficult task facing CFOs for much of 2023. This is particularly true for IT departments. In today’s economy, highly skilled IT and data experts are a scarce and expensive resource. The mid-market organization requires another option that provides access to the right tools, resources, and support.
Fill out the form below to receive a link to the article.
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Overcome Hiring and Talent Challenges to Get Ahead of the Competition in 2023
Hiring and retaining staff is going to be the most difficult task facing CFOs for much of 2023. This is particularly true for IT departments. In today’s economy, highly skilled IT and data experts are a scarce and expensive resource. The mid-market organization requires another option that provides access to the right tools, resources, and support.
Customer Intelligence Insights are Reliant on Accurate Data
It’s 10pm, do you know where your customer data is?
Jokes aside, is your data organized in a form that you can easily use, review, and make critical business decisions from? Or is disorganized data slowing down your decision-making and preventing your organization from utilizing customer intelligence to enhance the customer experience and grow your business?
Improved Enterprise Data Management Enables Customer Intelligence Analytics
In many organizations, heaps of data are coming in from multiple sources, into and out of multiple clouds and departments, with varying degrees of accuracy. This makes decision-making based on customer intelligence difficult. When your data is not cleansed, you may have multiple records for the same person, spread across your databases. It is essential for your digital maturity process to include optimizing enterprise data management—finding all disparate data, cleansing, and aggregating it, and creating a single, correct client record—your single source of truth.
With enterprise data management and a robust data analytics platform working together, your customer data and prospect lists become more reliable, you save money on marketing materials, and, with the right analytics platform, can more easily implement AI solutions to send the right offer to the right customer at the right time. An analytics platform can mean taking your client records and improving them, their data, and your ability to make data-driven decisions about your prospects’ and customers’ needs.
A Customer Intelligence Analytics Database, like Aunalytics’ Daybreak Analytics Database, not only provides daily insights, compiled overnight and ready for you first thing in the morning, but also gives you access to a robust data platform and actionable industry-relevant smart features to enable various analytics solutions, helping you create a strategy that will lead to positive outcomes for your customers. With a streamlined system for your organization to find, access, store, and manage your data, along with an analytics platform bringing data to your fingertips, you don’t have to worry about which version of a client record you will find today, which version of the client’s name is what she prefers to go by, or what the correct version of her address is.
A side-by-side approach with a technology partner is the best way to access tools like Artificial Intelligence (AI), machine learning (ML), predictive analytics, and a team of experts by your side to provide support and assist you every step of the way. Look for a provider who supports an end-to-end process, making sure you don’t get stuck in the middle and left hung out to dry when making your journey to better enterprise data management, analytics, and, ultimately, digital maturity.
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
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.
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
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Most 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
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Most 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
Most 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.
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
Mid-Market Companies: Here’s 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
To 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
