Siemens PLM Connection Americas 2015 – Dallas, Texas, May 18, 2015
Siemens’ Omneo Performance Analytics Delivers Big Data Analytics as a Service
Solution Delivers Performance Intelligence to Solve Product Issues; Analyzes Billions of Data Combinations in Seconds to Reveal Intelligence
Siemens today announced the release of Omneo™ Performance Analytics (PA) solution, the latest application for its software as a service (SaaS) Omneo offering, which it obtained last year as part of its acquisition of Camstar. Omneo PA, developed by Siemens’ product lifecycle management (PLM) software business, delivers product performance intelligence from big data analytics. The solution monitors data across the entire supply chain and customer experience, while analyzing billions of data combinations in seconds. By revealing the hidden intelligence that pinpoints the source of product issues, Omneo PA delivers proactive analysis for big data.
“Performance Analytics empowers us to discover hidden patterns in data in order to ensure optimal product performance,” said Michael Shepherd, Senior Strategist of Product Management at Dell. “Through their big data analytics expertise Omneo is helping us quickly and more insightfully serve our customers.”
“Omneo Performance Analytics harnesses the full potential of this powerful technology -- changing the way companies understand and improve their products,” said Steve Bashada, Senior Vice President of Cloud Services, Siemens PLM Software. “Using data from sources including field service, manufacturing, CRM, ERP and the Internet of Things (IoT), Omneo Performance Analytics enables companies to identify and resolve problems before they reach their customers – the ultimate goal of any business.”
Omneo PA is the next evolution in product performance intelligence. It delivers on several major components in a big data cloud environment: discovery, monitoring and dashboards.
The discovery capabilities in Omneo PA provide rapid combination analysis of all possible data sets, creating insights into big data that were previously unattainable. Discovery results clearly identify and display the highest contributing factors to data anomalies, so that every value chain decision creates the largest and most positive impact possible on current and future product performance. Companies can now answer questions they previously did not know to ask, saving valuable time and resources.
The graphical monitoring capability in Omneo PA provides a complete view of product performance across the entire value chain and enables companies to consistently track current and emerging trends related to their products. Now fact-based, data-driven decisions can be made for the entire value chain.
Omneo PA features a flexible, user-friendly dashboard workspace that enables the customization of data analytics definitions and key performance indicators (KPIs). Definitions and corporate-wide KPIs are built as ‘modeling objects’ with multi-level definitions, for easy reuse. This structure enables users to interactively explore custom data analytics and KPIs or schedule them for monitoring, and view the results whenever needed.
“Interactively adjusting parameters such as KPIs, date ranges, fields and other variables in a simple user interface creates new insights in seconds instead of days or weeks,” said Rami Lokas, Senior Director, Omneo Research and Development, Siemens PLM Software. “As a result, the time spent resolving the source of product issues is drastically reduced, ensuring higher customer satisfaction.
“Omneo Performance Analytics goes beyond the limits of a traditional business intelligence tool to take businesses to the next level of performance,” added Lokas. “By leveraging big data to monitor, discover and display global product performance for its customers, Omneo PA is already altering the landscape of product performance intelligence as we know it today.”
Siemens PLM Software, a business unit of the Siemens Digital Factory Division, is a leading global provider of product lifecycle management (PLM) and manufacturing operations management (MOM) software, systems and services with over nine million licensed seats and more than 77,000 customers worldwide. Headquartered in Plano, Texas, Siemens PLM Software works collaboratively with its customers to provide industry software solutions that help companies everywhere achieve a sustainable competitive advantage by making real the innovations that matter. For more information on Siemens PLM Software products and services, visit www.siemens.com/plm.
For more information on Omneo, visit www.omneo.com
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Siemens AG (Berlin and Munich) is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. The company is active in more than 200 countries, focusing on the areas of electrification, automation and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is No. 1 in offshore wind turbine construction, a leading supplier of combined cycle turbines for power generation, a major provider of power transmission solutions and a pioneer in infrastructure solutions as well as automation, drive and software solutions for industry. The company is also a leading provider of medical imaging equipment – such as computed tomography and magnetic resonance imaging systems – and a leader in laboratory diagnostics as well as clinical IT. In fiscal 2014, which ended on September 30, 2014, Siemens generated revenue from continuing operations of €71.9 billion and net income of €5.5 billion. At the end of September 2014, the company had around 357,000 employees worldwide. Further information is available on the Internet at www.siemens.com.
Note: Siemens and the Siemens logo are registered trademarks of Siemens AG. Omneo is a trademark or registered trademark of Siemens Product Lifecycle Management Software Inc. or its subsidiaries in the United States and in other countries. All other trademarks, registered trademarks or service marks belong to their respective holders.
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