Atanasoft Customers Visualize Complex Data in Ways Never Before Possible
Technology Category
- Analytics & Modeling - Machine Learning
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Equipment & Machinery
- Retail
Use Cases
- Retail Store Automation
- Visual Quality Detection
Services
- Data Science Services
About The Customer
Atanasoft's customers are large government agencies, banks, manufacturers, and retail companies that need to access big data stored in Teradata or other data warehouses. These customers rely on Atanasoft's comprehensive product suites, which include tools and wizards that make it simpler and more efficient for consultants, IT management, and general users to access and use data from large data warehouses. For example, a manufacturer can see at a glance the efficiencies of multiple production lines, the plant’s overall productivity, and the cost of labor vs revenue. Atanasoft’s two main product lines are DataGEM for Open Database Connectivity (ODBC)-based databases and AtanaSuite for ODBC and Teradata warehouses.
The Challenge
Atanasoft, a company that provides comprehensive product suites for large government agencies, banks, manufacturers, and retail companies to access big data stored in Teradata or other data warehouses, was facing a challenge. Their existing charting functions were limited in functionality and visual impact, with no support for dashboards. There was no easy way for customers to quickly create and customize charts, graphs, or dashboards. Atanasoft has always been at the leading edge for data analysis and visualizations and has relied upon Infragistics for its libraries of reliable, high-performance components. However, they needed a solution that could provide more advanced technology and visualizations.
The Solution
To address these challenges, Atanasoft chose to embed Reveal, Infragistics' most advanced embedded analytics and visualization product, into both AtanaSuite and DataGEM. Reveal is an embedded analytics software that delivers real-time reporting, interactive data visualization, and advanced analytics, including machine learning, directly into an enterprise business application. The module in the Atanasoft products that is based on the Reveal SDK is called the Dashboard Tool. It’s fully integrated with the same look and feel as the product’s other modules. When customers use the query tool and attach it to a Teradata or Oracle database and pull data from a DB2 or SQL server, AtanaSuite and DataGEM capture the data and display it using the Reveal controls. Atanasoft’s Qset technology converts and normalizes data from multiple databases and then can display the disparate data on each separate Reveal control on a dashboard.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.
