Dss Power Analytics,Actionable Insights
Utility companies will employ a broad array of analytics tools, ranging from Big Data Analytics to predictive-analytics platforms and massively parallel processing (MPP) Big Data appliances. With the influx of big data, the potential of smart grid has shifted dramatically from the original aim of adding a myriad of new devices toward a complete re-invention of the way utilities do business. The Market spotlight will be on the data analytics software that will allow utilities to track, visualize and predict everything from grid operations to electricity consumption.
Dss Power/Utility Analytics Five Pillars
Through role-based productivity & insights, healthcare 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.
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.
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.
A vast majority of utility executives are working to enhance their ability to glean real intelligence from smart grid data—to ultimately create new opportunities to improve service reliability and deliver useful information to customers. Utilities can benefit from establishing enterprise information strategies, and investing in the systems and people needed to make better business decisions
In the energy and utilities industries, condition-based maintenance can help companies make intelligent decisions based on equipment status and operating history. By combining and analyzing real-time, streaming sensor information with historical indicators of failure and maintenance history, predictive analytics can help managers:
Dss Power/Utility Advantages and Benefites
Solutions Advantages: Utility organizations are leveraging big data technology to capture all of the information about power generation and consumption cultureto get a more complete view for insight into influx management and capital planning and forecasting models. Successfully harnessing big data unleashes the potential to achieve the following advantages for healthcare transformation.
- Better managing the huge influx of data from smart grids and meters
- Effectively use past history of weather, loads and environmental factors to predict outages and track demand patterns.
- Better understanding public sentiment about service and identify areas that can help address customer concerns.
- Empower consumers to lower their energy consumption.
- managing capital planning and forecasting models to maintain profitability while meeting stringent standards
- 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:
- Extend the useful life of equipment
- Focus maintenance activities on high-value problems
- Increase customer satisfaction
- Develop best practices from research to mitigate the effects of grids
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.