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- Технический документ 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.
- Аналитический отчет 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.
- Технический документ 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.
- Customer Story Electric cooperative sharpens forecasts, reduces energy costsNCEMC decreases forecast generation time from six weeks to just a few hours.
- Customer Story 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.
- Технический документ 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.
- Технический документ 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
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ Mitigating bribery and corruption in the oil and gas industryHow data and automation can help identify and reduce risk.
- Аналитический отчет Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
- E-Book 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.
- E-Book 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.
- Технический документ The Energy Transition and Forecasting The Next DecadeHow new tools are meeting the needs of a dynamic energy landscape.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Article The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
- E-Book 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.
- E-Book Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
- Article 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.
- Аналитический отчет 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.
- Article 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.