advanced analytics

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Published By: FICO     Published Date: Mar 02, 2018
Sales and Operations Planning (S&OP) isn’t just about aligning supply and demand. Ultimately, businesses across all industries need to synchronize plans across all functions to strike the right balance between demand, resources and other constraints. Companies are realizing that their use of analytics to help improve decision making needs to evolve beyond just reporting to include machine learning and optimization. Download our latest Q&A now with published author and supply chain expert Mike Watson, and learn how virtually any S&OP decision can benefit from advanced analytics and automation. You’ll get practical advice to help build a strawman, so you can move forward quickly – before your competitors! Read this Executive Brief to know the Top 7 Questions to ask before deploying your Sales and Operations planning.
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operations, sales, supplier, inventory, resources
    
FICO
Published By: FICO - APAC     Published Date: Jul 10, 2017
To Learn more, read this IndustryWeek eBook, sponsored by FICO, includes four articles about how a variety of manufacturers are using advanced analytics to "get ahead" in areas such as Big Data, supply chain and logistics, and other specific applications.
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FICO - APAC
Published By: FICO EMEA     Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach. For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
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analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
    
FICO EMEA
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: FusionOps     Published Date: Jun 15, 2016
Bimodal capabilities, customer intimacy and advanced analytics can all be enabled by digital technologies, allowing supply chains to be both cost-effective and innovation-driven. This research explores the implications of these leading trends for chief supply chain officers.
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FusionOps
Published By: GE Healthcare     Published Date: Aug 27, 2015
This paper will explore some of the market dynamics driving the financial volatility in healthcare and will explore how advanced analytics, with the right IT backbone and organizational competencies, can help organizations successfully identify ways to manage revenue cycle profitability.
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centricity business, financial management, analytics, revenue cycle, hospital billing, hospital finance, patient billing, rcm, episodic payment, accountable care, icd-10, healthcare reform, shared savings, capitation, payment reform, risk based contracting, hospital consolidation, [mjm] claims, denials, cost to collect
    
GE Healthcare
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, transformation
    
Hewlett Packard Enterprise
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Hewlett-Packard (HP) is unique in this EMA Radar in its ability to combine two threads – a single analytic overlay as embodied in its Service Health Analyzer (SHA) product, and a broader suite solution optimized for HP to participate in all three use cases here with maximum functional impact. This is not entirely a black-and-white situation, as SHA does leverage and currently largely depends on integration with HP Business Service Management 9.1, which is itself a suite. But SHA can assimilate other third-party sources, checks out brilliantly in early-phase deployments in terms of time-to-value and analytic power, and is the lead reason for HP’s strong Value Leader showing in technical performance management.
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ema radar, performance analytics, apa, service health analyzer, business technology
    
HP - Enterprise
Published By: IBM     Published Date: Dec 07, 2010
Case Management and the Implications in the Healthcare industry.
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ibm, enterprise content management, advanced case management, healthcare agencies, automation, customer service, regulatory compliance, content and process management, analytics
    
IBM
Published 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
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ibm, advanced case management, healthcare, content management, social networking, collaboration, analytics, policies, rules
    
IBM
Published By: IBM     Published Date: Dec 07, 2010
Case Management and the Implications in these Energy and Utilities Industries.
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ibm, advanced case management podcast, energy and utilities industries, content and process management, analytics, business rules, collaboration
    
IBM
Published By: IBM     Published Date: Dec 07, 2010
Case Management And the Implications in the Financial Services Industry.
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ibm, advanced case management podcast, financial services industry, customer service, content and process management, analytics, business rules, collaboration
    
IBM
Published 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.
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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
Published By: IBM     Published Date: Sep 11, 2013
Learn how mining data from social media can be a significant way for your bank to gain insights into customer mindsets and behavior by using advanced analytics tools from IBM
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social business, banking, mining data, social media, analytics, customer
    
IBM
Published 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.
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survey data, ibm, business analytics, ibm spss, patient satisfaction, analytics solutions
    
IBM
Published 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.
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healthcare, analytics, patient satisfaction
    
IBM
Published 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.
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ibm, advanced analytics, retailers, information, channel, consumer, merchandise information, business technology
    
IBM
Published By: IBM     Published Date: Apr 04, 2013
Many small and midsize retailers could benefit from using advanced analytics to understand their customers better and improve promotions but are daunted by the prospect. They are aware that advanced analytics can help retailers turn purchase data into retail excellence. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm analytics answers, retail purchase, offer targeting, infrastructure, offer, ibm, software licenses
    
IBM
Published By: IBM     Published Date: Apr 04, 2013
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm analytics, ibm, prioritized collections, drive down, debt, debt collections, expenditures, many organizations
    
IBM
Published By: IBM     Published Date: Apr 23, 2013
Profitability analysis is important to all companies. But in times of economic uncertainty, it becomes even more critical because organizations need a comprehensive and forwardlooking view of profitability to ensure that they can remain financially viable, whatever the economic circumstances. For companies to be successful, they need automated systems that enable interactive profitability analysis that can be shared across a broad swath of users. They also need robust, advanced analytics, to provide detailed granular metrics for assessing profitability and measuring performance. IBM offers solutions that can meet those needs.
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profitability, analysis, finance, projection, prediction, analytics, automation, metrics
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
While more and more enterprises are using analytics to guide their decision-making processes, most midsize businesses continue to rely on old-fashioned decision-making techniques like trial and error. The reason for this is simple: advanced analytics solutions can be very complex and expensive to implement, leading midmarket businesses to assume that the benefits of analytics are beyond their reach. IBM has created a new analytics solution that is designed specifically with the needs of midmarket businesses in mind. The solution, IBM Analytic Answers, gives midmarket businesses the opportunity to take advantage of a sophisticated analytics platform, backed by IBM expertise, while also staying within their budgets.
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frost & sullivan, ibm, ibm analytics, ibm analytic answers, business analytics, midsize business, analytics solution, advanced analytics, it management, data management, business technology
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud, analytics technology, predictive and prescriptive, effective collection, up-to-date insights, trends and patterns, capital expenses, operational changes, data-driven, visual trends, potential opportunities, potential threats, business goals
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
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