Bridging this gap requires answering some fundamental questions: How do I align my information with my business? How do I make the right information available when and where it’s needed? How do I support better decision making throughout my organization? And allows you to attain outcomes that are optimized.
Slide a: SCRIPT: “ What if you could accurately predict the future? ” Graphic: Background of Smart district, then circles populating smarter district one by one: who is most at-risk, which teachers need additional support, etc. Wouldn’t it be great if you could address these issues before they become problems? Imagine a “Smarter” School District. A district in which student outcomes are optimized and ever-improving due to the deployment of a state-of-the-art K-12 student performance solution based on industry best practices which leverages information, business intelligence, and predictive analytics to ensure timely identification of at risk students and enable intervention measures with the goal of improving the student experience, performance and matriculation rate. With the IBM SPSS Decision Management solution, these are just SOME questions that can be answered. The wonderful thing about IBM SPSS Decision Management is that it’s not difficult at all to predict the outcomes.
SMART IS Optimizing inventory. The Nuance Group: Implemented a Dynamic Inventory Optimization Solution, a forecast and inventory management system that helps identify quick ways to optimize inventory and improve service levels, reducing inventory by 10-15% and improving service by 95% at the warehouse level. SMART IS Preventing crime before it happens. New York City Police Department: Is combining business intelligence software with GIS mapping and visualization tools to detect crime patterns as they are forming, enabling precinct commanders to take proactive measures to keep ahead of these trends and head off spikes in criminal activity. SMART IS Finding what you’re looking for more quickly. Repsol: Broke through the accuracy-versus-speed tradeoffs that previously defined seismic exploration by working with IBM to build a system capable of running the next generation of more accurate seismic algorithms, resulting in an 85 percent reduction in runtime and a faster time-to-market for new oil and gas properties.
SMART IS Optimizing inventory. The Nuance Group: Implemented a Dynamic Inventory Optimization Solution, a forecast and inventory management system that helps identify quick ways to optimize inventory and improve service levels, reducing inventory by 10-15% and improving service by 95% at the warehouse level. SMART IS Preventing crime before it happens. New York City Police Department: Is combining business intelligence software with GIS mapping and visualization tools to detect crime patterns as they are forming, enabling precinct commanders to take proactive measures to keep ahead of these trends and head off spikes in criminal activity. SMART IS Finding what you’re looking for more quickly. Repsol: Broke through the accuracy-versus-speed tradeoffs that previously defined seismic exploration by working with IBM to build a system capable of running the next generation of more accurate seismic algorithms, resulting in an 85 percent reduction in runtime and a faster time-to-market for new oil and gas properties.
SMART IS Optimizing inventory. The Nuance Group: Implemented a Dynamic Inventory Optimization Solution, a forecast and inventory management system that helps identify quick ways to optimize inventory and improve service levels, reducing inventory by 10-15% and improving service by 95% at the warehouse level. SMART IS Preventing crime before it happens. New York City Police Department: Is combining business intelligence software with GIS mapping and visualization tools to detect crime patterns as they are forming, enabling precinct commanders to take proactive measures to keep ahead of these trends and head off spikes in criminal activity. SMART IS Finding what you’re looking for more quickly. Repsol: Broke through the accuracy-versus-speed tradeoffs that previously defined seismic exploration by working with IBM to build a system capable of running the next generation of more accurate seismic algorithms, resulting in an 85 percent reduction in runtime and a faster time-to-market for new oil and gas properties.
SMART IS Optimizing inventory. The Nuance Group: Implemented a Dynamic Inventory Optimization Solution, a forecast and inventory management system that helps identify quick ways to optimize inventory and improve service levels, reducing inventory by 10-15% and improving service by 95% at the warehouse level. SMART IS Preventing crime before it happens. New York City Police Department: Is combining business intelligence software with GIS mapping and visualization tools to detect crime patterns as they are forming, enabling precinct commanders to take proactive measures to keep ahead of these trends and head off spikes in criminal activity. SMART IS Finding what you’re looking for more quickly. Repsol: Broke through the accuracy-versus-speed tradeoffs that previously defined seismic exploration by working with IBM to build a system capable of running the next generation of more accurate seismic algorithms, resulting in an 85 percent reduction in runtime and a faster time-to-market for new oil and gas properties.
SMART IS Optimizing inventory. The Nuance Group: Implemented a Dynamic Inventory Optimization Solution, a forecast and inventory management system that helps identify quick ways to optimize inventory and improve service levels, reducing inventory by 10-15% and improving service by 95% at the warehouse level. SMART IS Preventing crime before it happens. New York City Police Department: Is combining business intelligence software with GIS mapping and visualization tools to detect crime patterns as they are forming, enabling precinct commanders to take proactive measures to keep ahead of these trends and head off spikes in criminal activity. SMART IS Finding what you’re looking for more quickly. Repsol: Broke through the accuracy-versus-speed tradeoffs that previously defined seismic exploration by working with IBM to build a system capable of running the next generation of more accurate seismic algorithms, resulting in an 85 percent reduction in runtime and a faster time-to-market for new oil and gas properties.