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Manufacturers generate and store tremendous amounts of data. The systems that house vital intelligence about engineering, quality control, production, purchasing, inventory management, and more are often disparate and geographically dispersed – making it difficult to leverage information for strategic advantage.

Through role-based productivity & insights, manufacturing operators can draw insight from a vast amount of business-related data and maximize the productivity of workers. Capabilities include real-time analytics, which offers rich statistical and analysis packages for data mining, discovery, and reporting for diverse information faculties-customers, and complex event processing, via capabilities of Big Data Analytics on cloud or on premise, and using Complex Event Processing technology. Differing software tools and systems that workers use daily should be seamlessly integrated to allow for continuous importing and exporting of business data from one system to another in order to complete workflows. They should also be able to perform detailed ad-hoc data analysis and other business intelligence functions on their own and without, for example, having to define a report and request their IT to provide it for them using powerful, easy-to-use tools like Dashboards, Scorecards, KPI and custom reports, and in-memory fast access information. These principles also include methods for storage and master data management of repositories to capture and enable analysis of operational and business data – located on-premise, in the cloud, or a hybrid mixture of both.

By understanding enhanced user experience, the host Healthcare Company understands how participants experience the world and how technology fits into that experience. New technologies take advantage of rich user experience, intuitiveness and ease of use across a multitude of devices – from smart phones and tablets to PCs and expansive operations command centers. New programming technologies, such as Windows Presentation Foundation, Silverlight or HTML 5, are opening new possibilities for applications in the business domains that run on many form factors. Intuitive interfaces now feature rich, composite dashboards and are accessible from mobile devices. These interfaces also incorporate natural human interaction with the software allowing workers to use gestures, voice, and touch.

Collaboration allows people to work together more closely, coordinate their efforts, follow detailed business processes, and respond to events as they happen. The Healthcare industry will require even-greater collaboration to account for a globalized and evolving workforce, as well as increasingly complex and mission-critical exploration and production. Communications technology is keeping pace with today’s global and on-demand collaboration – including real-time communication networks, mobility, Web conference, voice over IP (VoIP), and of course, social media. Dss Solutions Collaboration services framework support them by utilizing Microsoft technologies that may include Lync, SharePoint and Office 365.

For the framework to successfully deliver cost-effective, integrative benefits, it must enable comprehensive interoperability – both on-premise and in the cloud. As a result, features including industry standards along with published interfaces and information models are of critical importance. Connected, agile businesses require solutions that integrate the workflows of the business workers and the systems they use, their process and procedures, and the information those workers create and manage as part of their work-day across all the upstream systems they interact with.

Dss Solutions offers many partner tools and technologies to help solve the interoperability issues for our customers. Many of these tools and technologies follow open industry standards, such as Simple Object Access Protocol (SOAP), OData and Web services. Some of the technologies offer data-based integration and others offer document-based integration or a hybrid of both. Some of the tools that Dss Solutions utilized and offered by Microsoft that support a Connected Business include BizTalk Server, Windows Azure Service Bus, Windows Communication Foundation.

The framework Guiding Principles capture the need of an underlying technical infrastructure that at the foundational level enables many business processes. Principles of this infrastructure include scalable support for more users, larger models, and increased transaction volumes; securely deployed components, functionality, and information protected from unauthorized access or malicious attacks; and services that are location agnostic for anywhere deployment and which can be accessed on any device. Integration through messaging and database technology links together workflow, processes, and data optimization. Domain-specific infrastructure incorporates trade-specific infrastructure connections using unified communications to manage enterprise security. A secure, scalable, high-performance infrastructure should also take advantage of global high availability, app and data marketplaces and software as a service.

Predictive analytics combines powerful, fully automated discovery and analysis technologies that let manufacturers use enterprise data to improve all facets of their operations, such as ordering parts and components, setting production schedules, managing inventory, maintaining product quality, and satisfying customers.
Builders, manufacturers have access to advanced predictive analytics technologies that give them the ability to discover patterns and trends within their historical data and progress from reactive to proactive decision-making.

Solutions Advantages: Manufacturing organizations are leveraging big data technology to capture all of the information about products to get a more complete view for insight into engineering, quality control, production, purchasing, inventory managementand more. Successfully harnessing big data unleashes the potential to achieve the following advantages for manufacturingand supply chain transformation.

  • Improve generation performance
  • Uncover hidden patterns and associations
  • Enhance customer retention
  • Improve cross-selling opportunities through personalized offers and experiences
  • Maximize productivity and profitability by aligning people, processes and assets
  • Reduce risk to minimize exposure and loss

Solutions Key Benefits:Predictive models can be created to better understand the drivers behind product quality issues, scrap and repair decisions, or consumer demand. Models are then deployed to current data as scoring applications to predict the behavior of interest. This consistent and fact-basedapproach enables all manufacturers to achieve their most important quality, productivity, and profitability objectives.

  • Optimizing Product Quality
  • Improved processes and organizations
  • Enhance productivity through reusable service
  • Minimized compliance risk from data security
  • Greater alignment between IT and the business
  • Enhancing Warranty Planning
  • Improving Demand Planning and Inventory Management
  • Increasing Maintenance Efficiency
  • Develop best practices from research to mitigate the effects of production

Solutions Competitive Edge: Predictive analytics is a decisive competitive asset in many industries and a core element in the effort of all organizations to improve performance. Performance improvements and competitive advantage arise from classification models that allow decision makers to predict and optimize outcomes. The most effective approach to building a model rarely starts with the data; instead it originates with identifying the business opportunity and determining how the model can improve performance. With predictive analytics, decision makers can measure, and hence identify, radically more about their businesses, and directly translate that knowledge into improved decision making, increased performance, and greater opportunities for competitive advantage.

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