advanced analytics

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By: IBM     Published Date: Dec 07, 2010
To support increasing demands, healthcare organizations need to improve their agility between processes and people through improved information sharing
Tags : ibm, advanced case management, healthcare, content management, social networking, collaboration, analytics, policies, rules
     IBM
By: IBM     Published Date: Dec 07, 2010
Case Management and the Implications in these Energy and Utilities Industries.
Tags : ibm, advanced case management podcast, energy and utilities industries, content and process management, analytics, business rules, collaboration
     IBM
By: IBM     Published Date: Dec 07, 2010
Case Management And the Implications in the Financial Services Industry.
Tags : ibm, advanced case management podcast, financial services industry, customer service, content and process management, analytics, business rules, collaboration
     IBM
By: IBM     Published Date: Dec 07, 2010
Energy and utility companies need to manage incidents such as customer complaints or disputes to improve customer service while protecting the business should escalations occur. Advanced case management (ACM) provides enhanced service and risk management throughout the lifecycle of a case.
Tags : ibm, advanced case management podcast, acm, energy and utilities industries, customer service, risk management, business intelligence, content and process management, analytics, business rules, collaboration
     IBM
By: SAS     Published Date: Aug 03, 2016
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Tags : finance, tax fraud, security, protecting revenue, opportunities, analytics
     SAS
By: SAS     Published Date: Apr 25, 2017
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
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     SAS
By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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     SAS
By: SAS     Published Date: Oct 18, 2017
With the support of SAS, the Internet of Things Institute developed the 2017 Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics. This selective sample of IoT users offers valuable insights to both IoT innovators and organizations still waiting to see how the technology evolves before investing. Multiple business layers and functions have input into IoT decision making. Discover which layer was most critical to success for those organizations that have achieved the highest percentage of their targeted ROI. Learn about the main drivers of success for IoT users achieving higher returns. Lastly, the results highlight six primary factors that can undermine an IoT initiative and how they can be prevented.
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     SAS
By: SAS     Published Date: Oct 18, 2017
Health insurers have long been plagued by issues of fraud, waste, abuse, error and corruption. Taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs. Payers can achieve better outcomes when software support for the core disciplines of payment integrity run on a single platform.
Tags : 
     SAS
By: SAS     Published Date: Oct 18, 2017
How much are fraud, error, waste and abuse costing your organization? Costs to insurers are huge – as much as 25 percent of payments made. But data management and analytics can save the day. This paper discusses how data can be used to predict and detect loss in all its forms.
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     SAS
By: Netezza IBM US     Published Date: Mar 27, 2012
Forrester's interviews with Epsilon, a multichannel marketing services provider, and subsequent financial analysis based on assumptions that Forrester used illustrate the potential ROI from the use of IBM Netezza appliances and concluded that IBM Netezza Data Warehouse Appliances provide competitive differentiation through faster analytics while reducing capital and operational costs.
Tags : ibm, technology, netezza, data warehouse, analytics, roi, enterprise
     Netezza IBM US
By: Netezza IBM US     Published Date: Mar 27, 2012
IBM Netezza data warehouse appliances push the limits of analytics by fusing our ground breaking data warehouse appliances with high performance, scalable analytics that can process massive data to solve complex problems orders of magnitude faster than typical solutions. IBM Netezza Analytics, IBM's embedded advanced analytics platform delivered with every appliance, enables the development and deployment of analytics to drive game changing results.
Tags : ibm, technology, netezza, analytics, enterprise analytics
     Netezza IBM US
By: Netezza IBM US     Published Date: Mar 27, 2012
This powerful, high-performance, scalable, simple-to-use advanced analytics platform delivered with every IBM Netezza data warehouse appliance, delivers on the promise of tapping into unleashed business potential.
Tags : technology, ibm, netezza, advanced analytics, enterprise, business analytics, optimization
     Netezza IBM US
By: Netezza IBM US     Published Date: Mar 27, 2012
Across all industries, Revolution R Enterprise advanced analytics platform leverages the capabilities of IBM Netezza Analytics on IBM Netezza's family of data warehouse appliances, merging high-performance, scalable data warehouse technology with advanced in-database analytics and massively parallel capabilities
Tags : ibm, technology, netezza, analytics, enterprise analytics
     Netezza IBM US
By: IBM     Published Date: Aug 10, 2012
This brief video shows how advanced analytics can incorporate survey methods designed to help you with every aspect of survey research - everything from gathering the data, to data analysis, to reporting.
Tags : survey data, ibm, business analytics, ibm spss, patient satisfaction, analytics solutions
     IBM
By: IBM     Published Date: Aug 10, 2012
This whitepaper by Decision Management Solutions discusses how advanced analytics can drive real time, point-of-care decision making that saves lives and improves the quality of care.
Tags : healthcare, analytics, patient satisfaction
     IBM
By: IBM     Published Date: Nov 28, 2012
Retailers are faced with many challenges on how to motivate their customers to engage in favorable shopping behavior. Join this session to hear how IBM is helping retailers apply advanced merchandise info to predict buying behavior.
Tags : ibm, advanced analytics, retailers, information, channel, consumer, merchandise information
     IBM
By: Adobe     Published Date: Aug 02, 2017
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Adobe
By: McAfee     Published Date: Apr 14, 2014
Beyond the basics in a next generation firewall, to protect your investment you should demand other valuable features: intrusion prevention, contextual rules, advanced evasion analytics, secured access control, and high availability.
Tags : next generation firewall, intrusion prevention systems, firewall, contextual security, advanced evasion detection, advanced evasion techniques, security
     McAfee
By: McAfee     Published Date: Apr 25, 2014
McAfee® Threat Intelligence Exchange and the McAfee Security Connected Platform can help integrate workflows and data to overcome siloed operations and shift the security model to agile, intelligent threat prevention. This paper describes three use cases to illustrate the benefits.
Tags : advanced malware, security, suspicious files, dynamic sandboxing, static analytics, threat prevention, mcafee network security, mcafee web gateway, mcafee email gateway
     McAfee
By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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     Microsoft Azure
By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn best practices from Zaloni for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS).
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     AWS
By: LogRhythm     Published Date: Feb 22, 2018
Security and risk management leaders are implementing and expanding SIEM to improve early targeted attack detection and response. Advanced users seek SIEM with advanced profiling, analytics and response features.
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     LogRhythm
By: McAfee     Published Date: Mar 31, 2017
Overwhelmed by the volume of security intelligence and alerts, human analysts need machine learning to augment and accelerate efforts. Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
Tags : machine learning, advanced analytics, advanced threats, sandbox, zero-day, malware, mcafee labs, dynamic endpoint
     McAfee
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