Solution Briefs

Using the huge information technology investments previously made, refining companies can achieve better ROI by finding ways to maximize the use of data. Improving profit margins in the highly competitive refining industry resides in the ability to create consistent, accurate forecasts of demand over time using analytics-based modeling.

The utilities industry has more available data for forecasting than ever before. Real-time weather feeds, near-real time customer consumption data, sensors on renewable assets, etc. This flood of data can be harnessed for powerful new insights that can dramatically improve operational efficiency. In addition, this data will offer utility forecasters many new opportunities to optimize resource allocations, predict future growth and provide deeper insights into the utility planning process. The ability to predict the volume, magnitude and location of demand – along with improved revenue projections – will bring significant financial rewards to companies that glean predictive insight from their data.

Using SAS for global price intelligence, you can simulate the effect of different choices, IRP rules, mandates and market changes on global revenue and profitability – at launch and across the entire product life cycle – and then optimize any launch simulation.

Find out how SAS helps CSPs anticipate and reduce churn, know the next best offer and enhance the customer experience across multiple channels.

Understand and manage risk with a comprehensive, web-based solution designed specifically for public pension plan administrators. 

Gain fast and deep insights from real-world data.  

With SAS, state governments can uncover fraudulent provider Medicaid claims and claims overpayment at the transaction or patient level, while uncovering fraud perpetrated by members of criminal networks. The SAS Advanced Analytics Lab for State and Local Governments solution addresses all aspects of the Medicaid program, including: eligibility and enrollment, managed care oversight, post-payment detection and recovery of improper payments, and pre-payment identification and prevention of improper claims.

Using SAS for global price intelligence, you can simulate the effect of different choices, IRP rules, mandates and market changes on global revenue and profitability – at launch and across the entire product life cycle – and then optimize any launch simulation.

SAS is the only vendor to combine three disciplines -- behavioral analytics, claim analytics and clinical targeting -- into a comprehensive payment integrity solution available through multiple deployment options (including cloud for a fast implementation).  

SAS helps states unify and understand their massive volumes of data so they can increase transparency and improve population health through better access to care, quality of care and cost control.  

SAS clearly understands the industry challenges around payment reform and offers the best solutions to help address them. Our solutions empower states to quickly analyze massive volumes of complex health data to understand the types of clinical episodes that different populations are having, as well as develop and manage appropriate value-based payment models and provide enhanced oversight of payment reform initiatives. 

Many people in the United States fail to receive necessary health care – especially those with complex care needs. While it’s easy to label these people as non-compliant or resistant to treatment (or simply unmotivated), research indicates that there are social determinants of health – such as socioeconomic status and housing status – that lead to people disengaging from care, resulting in poor health outcomes. This brochure explores how adopting a “whole person care” approach to health enables federal, state and local governments to have a more complete and accurate understanding of people’s needs (and barriers to care) – and empowers care providers to treat the whole person vastly for improved compliance and patient outcomes.

Don't risk a data breach that could open unauthorized access to personally identifiable information. SAS can help.

Cable and satellite providers face huge challenges trying to grow revenue, ARPU, and their subscriber bases. What will differentiate market winners from losers is their ability to harness big data analytics. This solution brief discusses how SAS® advanced analytics enables companies to consolidate and analyze customer data sets to gain deeper insights into how customers consume content and uncover new ways to boost engagement and retention.

Find out how SAS helps CSPs anticipate and reduce churn, know the next best offer and enhance the customer experience across multiple channels.

Discover how advanced analytics can reliably predict future audience behavior and content performance.  

Don't risk a data breach that could open unauthorized access to personally identifiable information. SAS can help.

Accurately tie students academic growth to individual teachers with roster verification.  

While children continue to hone their reading skills after third grade, research confirms that reading proficiently by the end of third grade is a critical milestone for future success both in school and beyond. Struggling third-grade readers continue to struggle through high school – and are four times more likely not to graduate high school than peers who are competent readers. This paper examines how states passing legislation to improve literacy, many of which are based on recommendations made by the US Business Roundtable, can use integrated data management and analytics solutions to identify at-risk students, monitor the effectiveness of interventions, track individual student and school progress, provide valuable feedback to educators and more.

With the passage of the Every Student Succeeds Act (ESSA), states now have much more flexibility to develop performance goals, accountability systems and interventions for struggling P-12 schools. But programs and decisions must be data driven, assessments of student success must be accurate, and transparency is needed to drive continuous improvement. This solution brief explains how SAS® software meets these requirements by providing superior data integration, monitoring and advanced analytics; data correlations and visualizations; governance and more.　 Now you can ensure that the design your P-12 systems will get students career- and college-ready, track program and student success longitudinally, and make targeted improvements over time.

This solution brief discusses how few states can identify their best educator preparation programs (EPPs) and which need improvement, as determined by the student growth impact of their completers. Nor do they have insight into what makes some EPPs more effective than others. It then describes how SAS closes the loop between K-12 and EPPs by integrating a state’s massive data stores on student performance with EPP data on the state’s programs and completers. 

SAS can provide college athletic programs with a comprehensive analytics solution that includes a range of leading-edge data management, predictive analytics and data visualization capabilities.

Using its breadth of insurance expertise, SAS takes an enterprise approach to fraud detection and prevention by delivering an industry leading software solution either on-site or via the cloud. 

With SAS, state governments can uncover fraudulent provider Medicaid claims and claims overpayment at the transaction or patient level, while uncovering fraud perpetrated by members of criminal networks. The SAS Advanced Analytics Lab for State and Local Governments solution addresses all aspects of the Medicaid program, including: eligibility and enrollment, managed care oversight, post-payment detection and recovery of improper payments, and pre-payment identification and prevention of improper claims.

Thwart energy theft by detecting suspicious activity and hidden relationships in big data.  

SAS helps governments around the world protect their revenue streams by applying advanced analytics to vast amounts of tax data – uncovering the most egregious and pervasive cases of fraud and noncompliance.

SAS offers a broad PNR data system for border management and security that supports continuous management and evaluation of high-risk passengers based on their pattern of activities, watch lists and other data while helping to expedite the smooth movement of legitimate travelers. SAS® encompasses data management, watch-list processing, entity resolution, risk assessment and investigation management using big data processing tools, advanced analytics, machine learning and artificial intelligence.

SAS provides a bank’s best defense against new opportunities for payment fraud – detect suspicious activity and hidden relationships in vast amounts of daily transactional data.

SAS for procurement integrity uses automation to accelerate the process and free up valuable resources for more consistency. By bringing together data from disparate external sources, you gain better situational awareness to make quick decisions about whether to stop invoices, payments or purchase orders. And through detection of the most obscure instances of error or abuse, we help you reduce disruption and delays for the most low-risk items so there is minimal impact on customer service.

SAS is the only vendor to combine three disciplines -- behavioral analytics, claim analytics and clinical targeting -- into a comprehensive payment integrity solution available through multiple deployment options (including cloud for a fast implementation).  

Not all insurance agents play by the rules; some are gaming the system by misrepresenting or avoiding premiums, opportunistically trying to meet their next quota, or otherwise submitting fraudulent information. In an end-to-end process, SAS automation helps you better identify and review your brokers and agents and enable case management. We do this by combining accurate triage alerts to improve your true positive rate, based on a comprehensive view of your data and analytically derived scores.

Accurately tie students academic growth to individual teachers with roster verification.  

Spot patterns of prescription drug abuse, addiction or criminal activity, and protect at-risk patients.  

SAS helps governments around the world protect their revenue streams by applying advanced analytics to vast amounts of tax data – uncovering the most egregious and pervasive cases of fraud and noncompliance.

To examine the exploration and exploitation projects in their current expenditure portfolios,companies must be able to quickly rescore internal rates of return while resetting underlying hydrocarbon reference pricing and assumptions based on development costs. This requires risk re-evaluations, improved risk controls and new risk management scenarios, all of which demand improved modeling capabilities. Production curve optimization is also necessary to ensure that maximum recovery is achieved for every well and reservoir.

SAS offers a broad PNR data system for border management and security that supports continuous management and evaluation of high-risk passengers based on their pattern of activities, watch lists and other data while helping to expedite the smooth movement of legitimate travelers. SAS® encompasses data management, watch-list processing, entity resolution, risk assessment and investigation management using big data processing tools, advanced analytics, machine learning and artificial intelligence.

This solution brief discusses how few states can identify their best educator preparation programs (EPPs) and which need improvement, as determined by the student growth impact of their completers. Nor do they have insight into what makes some EPPs more effective than others. It then describes how SAS closes the loop between K-12 and EPPs by integrating a state’s massive data stores on student performance with EPP data on the state’s programs and completers. 

SAS provides a bank’s best defense against new opportunities for payment fraud – detect suspicious activity and hidden relationships in vast amounts of daily transactional data.

SAS for Law Enforcement is a fully customizable solution capable of integrating, processing and analyzing large volumes of information that promotes best practice, combines accessibility with security, and integrates with SAS advanced and predictive analytics. 

SAS helps states unify and understand their massive volumes of data so they can increase transparency and improve population health through better access to care, quality of care and cost control.  

Many people in the United States fail to receive necessary health care – especially those with complex care needs. While it’s easy to label these people as non-compliant or resistant to treatment (or simply unmotivated), research indicates that there are social determinants of health – such as socioeconomic status and housing status – that lead to people disengaging from care, resulting in poor health outcomes. This brochure explores how adopting a “whole person care” approach to health enables federal, state and local governments to have a more complete and accurate understanding of people’s needs (and barriers to care) – and empowers care providers to treat the whole person vastly for improved compliance and patient outcomes.

Using the huge information technology investments previously made, refining companies can achieve better ROI by finding ways to maximize the use of data. Improving profit margins in the highly competitive refining industry resides in the ability to create consistent, accurate forecasts of demand over time using analytics-based modeling.

The utilities industry has more available data for forecasting than ever before. Real-time weather feeds, near-real time customer consumption data, sensors on renewable assets, etc. This flood of data can be harnessed for powerful new insights that can dramatically improve operational efficiency. In addition, this data will offer utility forecasters many new opportunities to optimize resource allocations, predict future growth and provide deeper insights into the utility planning process. The ability to predict the volume, magnitude and location of demand – along with improved revenue projections – will bring significant financial rewards to companies that glean predictive insight from their data.

Using SAS for global price intelligence, you can simulate the effect of different choices, IRP rules, mandates and market changes on global revenue and profitability – at launch and across the entire product life cycle – and then optimize any launch simulation.

Find out how SAS helps CSPs anticipate and reduce churn, know the next best offer and enhance the customer experience across multiple channels.

Understand and manage risk with a comprehensive, web-based solution designed specifically for public pension plan administrators. 

Lower training costs, boost recruitment efforts and retain your highest performers with a comprehensive military personnel solution from SAS.  

Learn how to deploy a robust, transparent IFRS 9-Compliant process on a common analytics platform. 

The new US accounting standard for loss reserving – current expected credit loss (CECL) – greatly increases the complexity of the allowance estimation process and raises the overall loss reserve requirement, which will directly affect profitability and capital. Are you ready to comply? As explored in this solution brief, this will require integrating risk and finance; building, testing and managing new models; and managing complex data and model risk. SAS can help by providing an open, modular solution for CECL as part of an analytics platform that also supports other risk processes. Use it to quickly deploy a robust, transparent CECL compliant process.

Explore how SAS takes a comprehensive approach to accounting for insurance contracts, ensuring compliance with IFRS 17.

Accurately assess market and credit risk for a full range of energy commodities and transaction types.  

To examine the exploration and exploitation projects in their current expenditure portfolios,companies must be able to quickly rescore internal rates of return while resetting underlying hydrocarbon reference pricing and assumptions based on development costs. This requires risk re-evaluations, improved risk controls and new risk management scenarios, all of which demand improved modeling capabilities. Production curve optimization is also necessary to ensure that maximum recovery is achieved for every well and reservoir.

Using the huge information technology investments previously made, refining companies can achieve better ROI by finding ways to maximize the use of data. Improving profit margins in the highly competitive refining industry resides in the ability to create consistent, accurate forecasts of demand over time using analytics-based modeling.

The utilities industry has more available data for forecasting than ever before. Real-time weather feeds, near-real time customer consumption data, sensors on renewable assets, etc. This flood of data can be harnessed for powerful new insights that can dramatically improve operational efficiency. In addition, this data will offer utility forecasters many new opportunities to optimize resource allocations, predict future growth and provide deeper insights into the utility planning process. The ability to predict the volume, magnitude and location of demand – along with improved revenue projections – will bring significant financial rewards to companies that glean predictive insight from their data.

Using SAS for global price intelligence, you can simulate the effect of different choices, IRP rules, mandates and market changes on global revenue and profitability – at launch and across the entire product life cycle – and then optimize any launch simulation.

Find out how SAS helps CSPs anticipate and reduce churn, know the next best offer and enhance the customer experience across multiple channels.

Understand and manage risk with a comprehensive, web-based solution designed specifically for public pension plan administrators. 

Gain fast and deep insights from real-world data.  

With SAS, state governments can uncover fraudulent provider Medicaid claims and claims overpayment at the transaction or patient level, while uncovering fraud perpetrated by members of criminal networks. The SAS Advanced Analytics Lab for State and Local Governments solution addresses all aspects of the Medicaid program, including: eligibility and enrollment, managed care oversight, post-payment detection and recovery of improper payments, and pre-payment identification and prevention of improper claims.

Using SAS for global price intelligence, you can simulate the effect of different choices, IRP rules, mandates and market changes on global revenue and profitability – at launch and across the entire product life cycle – and then optimize any launch simulation.

SAS is the only vendor to combine three disciplines -- behavioral analytics, claim analytics and clinical targeting -- into a comprehensive payment integrity solution available through multiple deployment options (including cloud for a fast implementation).  

SAS helps states unify and understand their massive volumes of data so they can increase transparency and improve population health through better access to care, quality of care and cost control.  

SAS clearly understands the industry challenges around payment reform and offers the best solutions to help address them. Our solutions empower states to quickly analyze massive volumes of complex health data to understand the types of clinical episodes that different populations are having, as well as develop and manage appropriate value-based payment models and provide enhanced oversight of payment reform initiatives. 

Many people in the United States fail to receive necessary health care – especially those with complex care needs. While it’s easy to label these people as non-compliant or resistant to treatment (or simply unmotivated), research indicates that there are social determinants of health – such as socioeconomic status and housing status – that lead to people disengaging from care, resulting in poor health outcomes. This brochure explores how adopting a “whole person care” approach to health enables federal, state and local governments to have a more complete and accurate understanding of people’s needs (and barriers to care) – and empowers care providers to treat the whole person vastly for improved compliance and patient outcomes.

Don't risk a data breach that could open unauthorized access to personally identifiable information. SAS can help.

Cable and satellite providers face huge challenges trying to grow revenue, ARPU, and their subscriber bases. What will differentiate market winners from losers is their ability to harness big data analytics. This solution brief discusses how SAS® advanced analytics enables companies to consolidate and analyze customer data sets to gain deeper insights into how customers consume content and uncover new ways to boost engagement and retention.

Find out how SAS helps CSPs anticipate and reduce churn, know the next best offer and enhance the customer experience across multiple channels.

Discover how advanced analytics can reliably predict future audience behavior and content performance.  

Don't risk a data breach that could open unauthorized access to personally identifiable information. SAS can help.

Accurately tie students academic growth to individual teachers with roster verification.  

While children continue to hone their reading skills after third grade, research confirms that reading proficiently by the end of third grade is a critical milestone for future success both in school and beyond. Struggling third-grade readers continue to struggle through high school – and are four times more likely not to graduate high school than peers who are competent readers. This paper examines how states passing legislation to improve literacy, many of which are based on recommendations made by the US Business Roundtable, can use integrated data management and analytics solutions to identify at-risk students, monitor the effectiveness of interventions, track individual student and school progress, provide valuable feedback to educators and more.

With the passage of the Every Student Succeeds Act (ESSA), states now have much more flexibility to develop performance goals, accountability systems and interventions for struggling P-12 schools. But programs and decisions must be data driven, assessments of student success must be accurate, and transparency is needed to drive continuous improvement. This solution brief explains how SAS® software meets these requirements by providing superior data integration, monitoring and advanced analytics; data correlations and visualizations; governance and more.　 Now you can ensure that the design your P-12 systems will get students career- and college-ready, track program and student success longitudinally, and make targeted improvements over time.

This solution brief discusses how few states can identify their best educator preparation programs (EPPs) and which need improvement, as determined by the student growth impact of their completers. Nor do they have insight into what makes some EPPs more effective than others. It then describes how SAS closes the loop between K-12 and EPPs by integrating a state’s massive data stores on student performance with EPP data on the state’s programs and completers. 

SAS can provide college athletic programs with a comprehensive analytics solution that includes a range of leading-edge data management, predictive analytics and data visualization capabilities.

Using its breadth of insurance expertise, SAS takes an enterprise approach to fraud detection and prevention by delivering an industry leading software solution either on-site or via the cloud. 

With SAS, state governments can uncover fraudulent provider Medicaid claims and claims overpayment at the transaction or patient level, while uncovering fraud perpetrated by members of criminal networks. The SAS Advanced Analytics Lab for State and Local Governments solution addresses all aspects of the Medicaid program, including: eligibility and enrollment, managed care oversight, post-payment detection and recovery of improper payments, and pre-payment identification and prevention of improper claims.

Thwart energy theft by detecting suspicious activity and hidden relationships in big data.  

SAS helps governments around the world protect their revenue streams by applying advanced analytics to vast amounts of tax data – uncovering the most egregious and pervasive cases of fraud and noncompliance.

SAS offers a broad PNR data system for border management and security that supports continuous management and evaluation of high-risk passengers based on their pattern of activities, watch lists and other data while helping to expedite the smooth movement of legitimate travelers. SAS® encompasses data management, watch-list processing, entity resolution, risk assessment and investigation management using big data processing tools, advanced analytics, machine learning and artificial intelligence.

SAS provides a bank’s best defense against new opportunities for payment fraud – detect suspicious activity and hidden relationships in vast amounts of daily transactional data.

SAS for procurement integrity uses automation to accelerate the process and free up valuable resources for more consistency. By bringing together data from disparate external sources, you gain better situational awareness to make quick decisions about whether to stop invoices, payments or purchase orders. And through detection of the most obscure instances of error or abuse, we help you reduce disruption and delays for the most low-risk items so there is minimal impact on customer service.

SAS is the only vendor to combine three disciplines -- behavioral analytics, claim analytics and clinical targeting -- into a comprehensive payment integrity solution available through multiple deployment options (including cloud for a fast implementation).  

Not all insurance agents play by the rules; some are gaming the system by misrepresenting or avoiding premiums, opportunistically trying to meet their next quota, or otherwise submitting fraudulent information. In an end-to-end process, SAS automation helps you better identify and review your brokers and agents and enable case management. We do this by combining accurate triage alerts to improve your true positive rate, based on a comprehensive view of your data and analytically derived scores.

Accurately tie students academic growth to individual teachers with roster verification.  

Spot patterns of prescription drug abuse, addiction or criminal activity, and protect at-risk patients.  

SAS helps governments around the world protect their revenue streams by applying advanced analytics to vast amounts of tax data – uncovering the most egregious and pervasive cases of fraud and noncompliance.

To examine the exploration and exploitation projects in their current expenditure portfolios,companies must be able to quickly rescore internal rates of return while resetting underlying hydrocarbon reference pricing and assumptions based on development costs. This requires risk re-evaluations, improved risk controls and new risk management scenarios, all of which demand improved modeling capabilities. Production curve optimization is also necessary to ensure that maximum recovery is achieved for every well and reservoir.

SAS offers a broad PNR data system for border management and security that supports continuous management and evaluation of high-risk passengers based on their pattern of activities, watch lists and other data while helping to expedite the smooth movement of legitimate travelers. SAS® encompasses data management, watch-list processing, entity resolution, risk assessment and investigation management using big data processing tools, advanced analytics, machine learning and artificial intelligence.

This solution brief discusses how few states can identify their best educator preparation programs (EPPs) and which need improvement, as determined by the student growth impact of their completers. Nor do they have insight into what makes some EPPs more effective than others. It then describes how SAS closes the loop between K-12 and EPPs by integrating a state’s massive data stores on student performance with EPP data on the state’s programs and completers. 

SAS provides a bank’s best defense against new opportunities for payment fraud – detect suspicious activity and hidden relationships in vast amounts of daily transactional data.

SAS for Law Enforcement is a fully customizable solution capable of integrating, processing and analyzing large volumes of information that promotes best practice, combines accessibility with security, and integrates with SAS advanced and predictive analytics. 

SAS helps states unify and understand their massive volumes of data so they can increase transparency and improve population health through better access to care, quality of care and cost control.  

Many people in the United States fail to receive necessary health care – especially those with complex care needs. While it’s easy to label these people as non-compliant or resistant to treatment (or simply unmotivated), research indicates that there are social determinants of health – such as socioeconomic status and housing status – that lead to people disengaging from care, resulting in poor health outcomes. This brochure explores how adopting a “whole person care” approach to health enables federal, state and local governments to have a more complete and accurate understanding of people’s needs (and barriers to care) – and empowers care providers to treat the whole person vastly for improved compliance and patient outcomes.

Using the huge information technology investments previously made, refining companies can achieve better ROI by finding ways to maximize the use of data. Improving profit margins in the highly competitive refining industry resides in the ability to create consistent, accurate forecasts of demand over time using analytics-based modeling.

The utilities industry has more available data for forecasting than ever before. Real-time weather feeds, near-real time customer consumption data, sensors on renewable assets, etc. This flood of data can be harnessed for powerful new insights that can dramatically improve operational efficiency. In addition, this data will offer utility forecasters many new opportunities to optimize resource allocations, predict future growth and provide deeper insights into the utility planning process. The ability to predict the volume, magnitude and location of demand – along with improved revenue projections – will bring significant financial rewards to companies that glean predictive insight from their data.

Using SAS for global price intelligence, you can simulate the effect of different choices, IRP rules, mandates and market changes on global revenue and profitability – at launch and across the entire product life cycle – and then optimize any launch simulation.

Find out how SAS helps CSPs anticipate and reduce churn, know the next best offer and enhance the customer experience across multiple channels.

Understand and manage risk with a comprehensive, web-based solution designed specifically for public pension plan administrators. 

Lower training costs, boost recruitment efforts and retain your highest performers with a comprehensive military personnel solution from SAS.  

Learn how to deploy a robust, transparent IFRS 9-Compliant process on a common analytics platform. 

The new US accounting standard for loss reserving – current expected credit loss (CECL) – greatly increases the complexity of the allowance estimation process and raises the overall loss reserve requirement, which will directly affect profitability and capital. Are you ready to comply? As explored in this solution brief, this will require integrating risk and finance; building, testing and managing new models; and managing complex data and model risk. SAS can help by providing an open, modular solution for CECL as part of an analytics platform that also supports other risk processes. Use it to quickly deploy a robust, transparent CECL compliant process.

Explore how SAS takes a comprehensive approach to accounting for insurance contracts, ensuring compliance with IFRS 17.

Accurately assess market and credit risk for a full range of energy commodities and transaction types.  

To examine the exploration and exploitation projects in their current expenditure portfolios,companies must be able to quickly rescore internal rates of return while resetting underlying hydrocarbon reference pricing and assumptions based on development costs. This requires risk re-evaluations, improved risk controls and new risk management scenarios, all of which demand improved modeling capabilities. Production curve optimization is also necessary to ensure that maximum recovery is achieved for every well and reservoir.