Aunalytics on ActualTech Media's Spotlight Series
Aunalytics on ActualTech Media's Spotlight Series
Aunalytics CMO Katie Horvath sat down with David Davis of ActualTech Media to discuss helping companies with their data challenges. By providing Insights as a Service, we make sure data is managed and organized so it’s ready to answer your business questions.
Center for Automotive Research Management Briefing Seminar
Center for Automotive Research Management Briefing Seminar
Grand Traverse Resort, Traverse City, MI
Aunalytics recognized for successful acquisition of Naveego, Inc. during the Automotive Communities Partnership luncheon
Aunalytics was recognized by the Grand Traverse Economic Development Corporation during the Automotive Communities Partnership luncheon of the Center for Automotive Research Management Briefing Seminar as a success story for its acquisition of Traverse City-based Naveego, Inc. Unlike many acquisitions that involve dismantling operations, Aunalytics builds communities and is pleased to add Traverse City to our operational bases. Since the merger, Naveego’s technology has become key data integration, cleansing, and data management technologies in the Aunalytics data platform. All team members have continued jobs as part of the 250+ employee organization and the company is creating new jobs in Traverse City. The GTEDC applauds our success story and welcomes Aunalytics to Northern Michigan.
Katie Horvath, CMO Aunalytics and Dennis Arouca, Board Member of Grand Traverse Economic Development Corporation pose together at the Automotive Communities Partnership luncheon
Why the Data Lake – Benefits and Drawbacks
A data lake solves the problem of having disparate data sources living in different applications, databases and other data silos. While traditional data warehouses brought data together into one place, they typically took quite a bit of time to build due to the complex data management operations required to transform the data as it was transferred into the on-premise infrastructure of the warehouse. This led to the development of the data lake – a quick and easy cloud-based solution for bringing data together into one place. Data lake popularity has climbed significantly since launch, as APIs quickly connect data sources to the data lake to bring data together. Data lakes have redefined ETL (extract, transform and load) as ELT, as data is quickly loaded and transforming it is left for later.
However, data in data lakes is not organized, connected, and made usable as a single source of truth. The problem with disparate data sources has only been moved to a different portion of the process. Data lakes do not automatically combine data from the multiple relocated sources together for analytics, reporting, and other uses. Data lakes lack data management, such as master data management, data quality, governance, and data accuracy technologies that produce trusted data available for use across an organization.
Solutions, such as the cloud-native AunsightTM Golden Record, bring data accuracy, matching, and merging to the lake. In this manner, data lakes can have the data management of data warehouses yet remain nimble as cloud solutions. Ultimately, the goal is to bring the data from the multiple data silos together for better analytics, accurate executive reporting, and customer 360 and product 360 views for better decision-making. This requires a data management solution that normalizes data of different forms and formats, to bring it into a single data model ready for dashboards, analytics, and queries. Pairing a data lake with a cloud-native data management solution with built in governance provides faster data integration success and analytics-ready data than traditional data warehouse technologies.
Aunsight Golden Record takes data lakes a step further by not only aggregating disparate data, but also cleansing data to reduce errors and matching and merging it together into a single source of accurate business information – giving you access to consistent trusted data across your organization in real-time.
Where Can I Find an End-to-End Data Analytics Solution?
The data analytics landscape has exploded over the past decade with an ever-growing selection of products and services: literally thousands of tools exist to help business deploy and manage data lakes, ETL and ELT, machine learning, and business intelligence. With so many tools to piece together, how do business leaders find the best one or ones? How do you piece them together and use them to get business outcomes? The truth is that many tools are built for data scientists, data engineers and other users with technical expertise. With most tools, if you do not have a data science department, your company is at risk for buying technologies that your team does not have the expertise to use and maintain. This turns digital transformation into a cost center instead of sparking data driven revenue growth.
Image credit: Firstmark
https://venturebeat.com/2020/10/21/the-2020-data-and-ai-landscape/
Aunalytics’ side-by-side service model provides value that goes beyond most other 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. While many companies offer one or two similar products, and many consulting firms can provide guidance in choosing and implementing tools, Aunalytics integrates all the tools and expertise in one end-to-end solution built for non-technical business users. The success of a digital transformation project should not be hitting implementation milestones. The success of a digital transformation project should be measured in business outcomes.
How to Assess True Branch Profitability in Mid-Market Banking
How to Assess True Branch Profitability in Mid-Market Banking
Branch profitability calculations are critically important for branch planning. Traditionally, the branch where a customer opens an account receives credit for that customer’s business. But it’s not always that simple. Learn how analyzing the right data can lead to more accurate results.
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Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.
The Problem with Relying on Your IT Department for Data Analytics
The Problem with Relying on Your IT Department for Data Analytics
IT departments are primarily concerned with maintaining security and keeping systems operational. IT owns the business function of minimizing internal and external security risks and vulnerabilities, and maintaining core business systems and operations. By asking your IT department to implement data analytics, you are asking them to take focus off of what they are trained to do and dabble into new areas of technology without having the expertise to do so.
Fill out the form below to receive the white paper.
Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.
Why it is Important to Have Real-time Data for Analytics
Analytics based upon stale data provides stale results. Fresh data powers up-to-date decision-making.
Real-time data ingestion, integration and cleansing to create a golden record of business information ready for analytics is critical to make better business decisions. This type of ingestion uses technology such as change data capture to bring across only new bits of data – changes to the existing data – as they are made in the business. Streaming allows for efficient processing (cleansing, matching, merging), rather than piling up changes all day and batching them overnight for processing. Streamed data provides changes in real-time so that business decisions are not made based upon yesterday’s data. Although some data sources and systems only support batch transfer, data ingestion technologies are ready for when the core systems modernize. Hopefully the days of stalled analytics waiting for data to arrive will soon be behind us.
Without real-time data management, the time gap causes lags in decision-making that can cost companies time, money, and energy. Real-time data management enables:
- Rapid results
- Faster scaling
- Better decision-making
- More efficient data delivery
- Monetizing windows of opportunity
- Timely actions in response to current insights
- Improved and automated business processes
- Proactive decision-making instead of reactive
- Immediate responses as events unfold
- More personalized customer experiences
What is the best analytics tool for business users?
What is the best data analytics tool for business users? As more business leaders face this question in recent years, most are finding just how hard it is to answer. The data analytics landscape has exploded over the past decade with an ever-growing landscape of products and services: literally thousands of tools exist to help business deploy and manage data lakes, ETL and ELT, machine learning, and business intelligence. With so many tools to piece together, how do business leaders find the best one or ones?
As with most things, the best tool set is simply the one that tailors itself best to the problems and questions that need to be solved. For some users, this could be how to integrate and clean data across siloed systems. Others may want to know how to publish analytical datasets of relevant data and metrics to analysts and marketing researchers. Others may have questions about how to derive value from large amounts of data with machine learning.
The Answers Platform
Aunalytics has built its data platform of tools to answer all of these questions. We believe in providing answers to questions with our integrated data analytics platform and leveraging our industry expertise to put these tools to work for you.
Unlike most tools on the market, Aunalytics provides a comprehensive, end-to-end data platform with all the tools your organization needs:
- Data integration, cleaning, and migration in the loud with Aunsight™ Golden Record
- Data transformation, processing, and delivery with Aunsight Data Platform
- Machine Learning and Artificial Intelligence with Aunsight Data Lab
- Delivery and exploration of the data lake with the Daybreak™ Analytical Database
Side-by-Side Service Model
More importantly, Aunalytics’ side-by-side service model provides value that goes beyond most other tools and platforms on the market by providing access to human intelligence in data engineering, machine learning, and business analytics. While many companies offer one or two similar products, and many consulting firms can provide guidance in choosing and implementing tools, Aunalytics integrates all the tools and expertise in one company as your trusted partner in digital transformation.
A Comprehensive Platform
While there are a large number of options to choose from, we at Aunalytics believe our distinctive approach and comprehensive platform tools provide the best solution for all but the largest companies who may wish to create custom analytics solutions in-house. Wherever you are on the data analytics journey, from just beginning to explore the possibilities in your data to global companies with established data science teams, Aunalytics can provide a path through the complicated landscape of tools and infrastructure to grow your company’s data analytics program.
