Aunalytics Acquires Naveego to Expand Capabilities of its End-to-End Cloud-Native Data Platform to Enable True Digital Transformation for Customers
Naveego Data Accuracy Platform Provides Comprehensive Data Integration, Data Quality, Data Accuracy and Data Governance for Enterprises to Capitalize on Data Assets for Competitive Advantage
South Bend, IN (February 22, 2021) - Aunalytics, a leading data platform company, delivering Insights-as-a-Service for enterprise businesses today announced the acquisition of Naveego, an emerging leader of cloud-native data integration solutions. The acquisition combines the Naveego® Complete Data Accuracy Platform with Aunalytics’ AunsightTM Data Platform to enable the development of powerful analytic databases and machine learning algorithms for customers.
Data continues to explode at an alarming rate and is continuously changing due to the myriad of data sources in the form of artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), mobile devices and other sources outside of traditional data centers. Too often, organizations ignore the exorbitant costs and compliance risks associated with maintaining bad data. According to a Harvard study, 47 percent of newly created records have some sort of quality issue. Other reports indicate that up to 90 percent of a data analyst’s time is wasted on finding and wrangling data before it can be explored and used for analysis purposes.
Aunalytics’ Aunsight Data Platform addresses this data accuracy dilemma with the introduction of Naveego into its portfolio of analytics, AI and ML capabilities. The Naveego data accuracy offering provides an end-to-end cloud-native platform that delivers seamless data integration, data quality, data accuracy, Golden-Record-as-a-ServiceTM and data governance to make real-time business decisions for customers across financial services, healthcare, insurance and manufacturing industries.
Aunalytics will continue to innovate advanced analytics, machine learning and AI solutions including the company’s newest DaybreakTM offering for financial services. Unlike other “one-size-fits-all” technology solutions, Daybreak was designed exclusively for banks and credit unions with industry specific financial industry intelligence and AI built into the platform. Daybreak seamlessly converts rich, transactional data for end-users into actionable, intelligent data insights to answer customers most important business and IT questions.
“I’m extremely excited to be leading this next chapter of innovation and growth for Aunalytics and to provide our customers with a new era of advanced analytics software and technology service coupled with Naveego’s data accuracy platform,” said Tracy Graham, CEO, Aunalytics. “Now enterprises have the assurance of data they can trust along with actionable analytics to make the most accurate decisions for their businesses to increase customer satisfaction and shareholder value.”
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About Aunalytics
Aunalytics is a data platform company delivering answers for your business. Aunalytics provides Insights-as-a-Service to answer enterprise and midsized companies’ most important IT and business questions. The Aunalytics® cloud-native data platform is built for universal data access, advanced analytics and AI while unifying disparate data silos into a single golden record of accurate, actionable business information. Its DaybreakTM industry intelligent data mart combined with the power of the Aunalytics data platform provides industry-specific data models with built-in queries and AI to ensure access to timely, accurate data and answers to critical business and IT questions. Through its side-by-side digital transformation model, Aunalytics provides on-demand scalable access to technology, data science, and AI experts to seamlessly transform customers businesses. To learn more contact us at 1-855-799-DATA or visit Aunalytics at http://www.aunalytics.com or on Twitter and LinkedIn.
PR Contact:
Sabrina Sanchez
The Ventana Group for Aunalytics
(925) 785-3014
sabrina@theventanagroup.com
4 Ways Disparate Data Sets Are Holding You Back
As an enterprise with a lot of different sectors and moving parts, having disparate, siloed data is hard to avoid. After all, the marketing department may deal with certain information while the IT team works with other data. The details the finance department leverages aren’t the same as what’s used by HR, and so on. However, when this information exists in separate silos and never fully comes together, it could be holding your organization back considerably, particularly when it comes to your big data initiatives.
Today, we’ll look at just a few of the ways disparate data sets could be a problem for today’s companies, and how your business can help address this prevalent problem.
1) A world of enterprise apps
One of the biggest sources of disparate data is the range of business applications employee users leverage. While these activities may take place under the watchful eye of the IT team, each application will contain information unique to that platform and if this data isn’t brought together at some point, it can create skewed analytics results.
According to Cyfe, the average small business utilizes just over 14 different applications. This number jumps to 500 when examining large enterprises.
“[T]he more apps your organization uses the harder it is to make data-driven decisions,” Cyfe noted in a blog post. “Why? Because keeping a pulse on your business’ sales, marketing, finances, web analytics, customer service, internal R&D, IT, and more as isolated sources of data never gives you a complete picture. In other words, big data doesn’t lead to big insights if you can’t bring it together.”
2) Stuck in the information-gathering phase
It’s not only the location of data that can cause an issue – the sheer volume of information can also create significant challenges, particularly when an organization is working to gather all of that information in a single place.
“It can take considerable time to bring this information together without the right resources.”
Informatica pointed out that that as much as 80 percent of an analytics initiative involves the actual collection of information in order to establish a bigger, better picture for analysis. However, when a large number of details are located in several different locations, it can take considerable time to bring this information together without the right resources. What’s more, as the company is working to pull data from different sources, new, more relevant information is being created that will further impact analysis.
In this type of environment, it’s easy to get stuck in the gathering phase, where data is constantly being collected, while the team doesn’t move on to the analysis part of the initiative as quickly as they should.
3) Fear of missing out: Reducing repetition
This leads us to the next issue: fear of missing out. Because big data is constantly being created and changing so quickly, businesses may hesitate to analyze and leverage the insights due to a fear of missing out on the next piece of data that is just coming to light.
Furthermore, Informatica noted that when data isn’t organized and kept in several different locations, it can cause problems on not just one, but a number of analysis initiatives, as employees will have to repeatedly pull these details, wasting time and effort.
“The key to minimizing repetitive work is finding a way to easily reuse your logic on the next data set, rather than starting from square one each time,” Informatica pointed out.
This is only possible, however, with the right big data platform that can help gather information from all disparate sources in the shortest time possible. In this way, businesses can eliminate costly repetitive processes while still ensuring that nothing falls through the cracks as information is gathered for analysis.
4) Missing information: Is it possible to know what isn’t there?
Siloed data can also lead to gaps in knowledge, which can considerably impact analysis results. For instance, a company seeking to learn more about their client base may include a range of different data sources, but may overlook details in the customer relationship management solution, causing them to miss important insights about brand interactions. While this is an extreme example, it helps illustrate the pitfalls of incomplete data sets.
Addressing disparate data: Partnering for success
These are challenges that can affect businesses in every sector, but can be easily and expertly addressed when companies partner with a leading big data solution provider like Aunalytics. Aunalytics has everything your enterprise needs to fully support its big data initiatives. Our unique, best-of-breed technology, Aunsight, ensures that information is gathered from all disparate sources, and that analysis is always as complete as possible. We help you collect and integrate your data so that workflows and unique algorithms can be established, leading to the most high-quality, actionable insights.
