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- 客戶案例 Managing mergers and analytics: Ensuring reliable energy by eliminating riskWhen the Belgian grid operators Eandis, Infrax and Integan merged into Fluvius, the new company turned to SAS for an analytics solution to screen its procurement systems and identify risks at an early stage.
- 白皮書 The Energy Transition and Forecasting The Next DecadeHow new tools are meeting the needs of a dynamic energy landscape.
- 電子書 Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
- 分析報告 SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024.
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- 白皮書 Charging Ahead with EV AnalyticsThis white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that is needed to prepare for and benefit from the growth of EVs
- 電子書 How Customer Intelligence Is Energizing the Utilities IndustryLearn how to use customer analytics to move from mass marketing that often misses your targeted customers (or comes at the wrong time) to more right-timed and contextual offers based on the data you already have.
- 白皮書 Designing the Infrastructure for Credit Risk Model Development and Deployment in UtilitiesExplore the challenges of setting up credit risk modeling – and how to establish an effective program through better planning and design.
- 文章 Analytics at the edgeStreaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
- 白皮書 Mitigating bribery and corruption in the oil and gas industryHow data and automation can help identify and reduce risk.
- 電子書 The Future of Energy & Utilities: Transform Through InnovationThe Energy & Utilities sector is on a countdown to reinvention. The surge in demand for advanced technology, smart cities and electric mobility is converging with the need for renewable energy sources and sustainability.
- 白皮書 The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
- 電子書 Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
- 客戶案例 Electric cooperative sharpens forecasts, reduces energy costsNCEMC decreases forecast generation time from six weeks to just a few hours.
- 文章 Internet of things applications across multiple industriesLearn about existing Internet of Things applications in five industries, and get advice on how to develop your own Internet of Things applications.
- 白皮書 Oilfield AnalyticsDiscover best practices to help upstream operators manage complex parameters, and learn how SAS technologies address even the most difficult data management and analytical challenges.
- 白皮書 How Real-Time Analytics on Streaming Data Can Transform the Oil IndustrySee how streaming data and real-time analytics are shifting the oil industry’s responsiveness into high gear.
- 文章 A new arms race: Analytics for commodity market complianceRogue trading and dodgy deals are not the only things keeping chief risk officers awake. Today’s regulators now employ big data analytics to uncover troubles in the commodity swaps market. Staying ahead of innocent compliance errors – and quickly identifying the occasional bad actor from within – will require some tough analytics of your own.
- 客戶案例 Austrian bank uses integrated risk and carbon calculation engine to steer towards net-zero by 2050Erste Group extends its SAS Solution for Regulatory Capital to help understand and reduce impact of climate change on its portfolios
- 分析報告 Advanced AI-Powered Energy ForecastingAs regional power markets across the globe experience constantly changing market dynamics, there is an increased need for advanced AI-driven energy forecasting to help power and utility companies navigate the energy transition.
- 白皮書 Digital Oilfield Outlook ReportGet exclusive insights into the industry’s use of digital oilfield technologies in this report, based on a quantitative survey and individual interviews with oil and gas professionals. The survey reveals the potential of analytics to enhance E&P businesses, as well as executives’ perceptions of the barriers to unleashing that potential.
- 白皮書 Analytics and the Modern Energy SupplierFind out why the modern energy supplier must consider how to incorporate IoT and AI in their business operations to improve data-driven decisions and achieve greater return on asset investments.
- 客戶案例 Empowering customers to choose more efficient energy consumptionUnlocking the power of data with SAS® helps Repsol journey toward sustainable energy
- 白皮書 Drilling Optimization Through Advanced Analytics Using Historical and Real-Time DataWith SAS Visual Analytics, drilling engineers, advisors and asset team members can use intuitive analytic tools to improve understanding of their wells and operations – without being statisticians.
- 文章 Load Forecasting: Ensuring supply meets energy demandLoad forecasting helps energy suppliers meet demand for residential and commercial customers. As renewable energy resources increase, the necessity for a technology platform that adapts to load forecasting requirements becomes crucial.
- 網路研討會 How AI is Powering Accurate, Scalable Load and Generation ForecastingJoin us as we discuss how energy planners at utilities can take advantage of advances in AI to gain insights into advanced forecasting models in the cloud.
- 白皮書 Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
- 客戶案例 Forecasting accuracy brings ‘new energy’ to CameroonEnergy supplier Eneo balances supply and demand to boost efficiency, save millions and improve reliability with SAS Energy Forecasting.
- 文章 The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
- 白皮書 Protect the Integrity of the Procurement FunctionProcurement fraud affects nearly one-third of organizations, and it is often perpetrated by the most trusted, longtime employees, the ones you’d least suspect. Learn from two white-collar crime specialists about common flavors of procurement fraud, striking examples from recent headlines, four fundamental ways to get better at detecting and preventing fraud, and how to take procurement integrity to the next level.
- 白皮書 Utility analytics in 2017: Aligning data and analytics with business strategyTo better understand organizational readiness for analytics and key areas of analytic priority in this diverse business landscape, SAS conducted an industry survey. The survey explored the issues and trends that are shaping how utilities are deploying data and analytics to achieve their business goals.
- 文章 Smart cities, smart energy solutions – thanks to the IoTFind out how Envision America and CPS Energy are using the IoT and analytics to make cities smarter and transform energy programs.
- 客戶案例 Electric co-op forecasts demand and transmission needs NOVEC, a regional electricity cooperative, relies on SAS to forecast demand for power as well as for future infrastructure needs.
- 分析報告 Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve ResiliencyLearn how the emergence of artificial intelligence, IoT sensors, advanced analytics and predictive maintenance within utility distribution systems can significantly improve reliability and build resiliency in the power grid.