predictive analytics

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Published By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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Adobe
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: IBM     Published Date: Feb 16, 2016
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
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analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights
    
IBM
Published By: TARGUSinfo.     Published Date: Jul 31, 2008
Consumers contact you through a growing number of channels. With this Yankee Group study, you'll learn how predictive analytics can help you instantly identify your best customers and prospects, match them to the best agents and give them more personalized attention - thus maximizing customer acquisition and cross-sell opportunities.
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targusinfo, targus info, customer, analytics, customer behavior, behavior, customer insight, feedback, crm, customer relations, loyalty
    
TARGUSinfo.
Published By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
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ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis
    
IBM
Published By: FICO     Published Date: Aug 14, 2015
Using predictive analytics and decision management to put customers at center stage.
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fico, analytics, solutions, decision management, rules management., business technology
    
FICO
Published By: IBM     Published Date: Aug 06, 2014
Customer intelligence solutions that can enhance customer retention by leveraging advanced and predictive analytics tools to help enable more targeted sales, service and marketing plans. .
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ibm, insurance, customer intelligence, solutions, retention, analytics
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Customer intelligence solutions that can enhance customer retention by leveraging advanced and predictive analytics tools to help enable more targeted sales, service and marketing plans.
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insurance, customer intelligence, solutions, customer retention, marketing plans
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor, business technology
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems.
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decision, management, business, rules, principles, organization, james taylor's, business technology
    
IBM
Published By: IBM Software     Published Date: Nov 04, 2010
Learn how decision management optimizes and automates high-volume decisions to create successful outcomes.
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ibm cognos, predictive analytics, decision management, automation
    
IBM Software
Published By: IBM Software     Published Date: Feb 11, 2011
Learn how decision management optimizes and automates high-volume decisions to create successful outcomes.
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ibm cognos, predictive analytics, customer relationship, decision management
    
IBM Software
Published By: IBM Software     Published Date: Jun 08, 2011
Learn how decision management optimizes and automates high-volume decisions to create successful outcomes.
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ibm cognos, predictive analytics, customer relationship, decision management
    
IBM Software
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight, predictive analytics, business technology
    
IBM
Published By: Lattice Engines     Published Date: Jun 19, 2014
Everyone is talking about predictive analytics these days, but what does it mean for B2B marketers? Find out how top demand generation professionals are using predictive applications powered by leading edge data science to optimize all stages of the funnel. Read Lattice Engine’s latest ebook, Decoding Predictive Marketing, and learn where predictive fits into your marketing mix.
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lead scoring, marketing automation, predictive analytics, predictive marketing, predictive lead scoring, b2b marketing, lead nurturing, lead management, lead prioritization, lattice engines, demand generation, lead qualification, qualifying leads, score leads, lead score
    
Lattice Engines
Published By: Oracle     Published Date: Aug 08, 2013
With Oracle CRM predictive analytics, identify your best cross-sell and up-sell opportunities so you can focus on higher probability deals.
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oracle, crm, opportunity landscape, predictive analytics, sales, knowledge management, data management, business technology
    
Oracle
Published By: Oracle     Published Date: Aug 15, 2013
With Oracle CRM predictive analytics, identify your best cross-sell and up-sell opportunities so you can focus on higher probability deals.
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oracle, crm, opportunity landscape, predictive analytics, sales, enterprise applications, business technology
    
Oracle
Published By: Landis + Gyr     Published Date: Mar 17, 2016
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER. Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution: • Cost-benefit analysis • Challenges of integrated DERs • Planning considerations • Advanced analytics tools and predictive grid analytics benefits • Choosing a platform
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cost-benefit analysis, der, analytics, platform, utility, smart grid
    
Landis + Gyr
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
Anwendungen sind die treibende Kraft bei den Abläufen im digitalen Unternehmen von heute. Wenn die Verwaltung der Infrastruktur hinter diesen Anwendungen Probleme bereitet oder sogar unmöglich ist, hat dies gravierende Aus? wirkungen auf die Unternehmen und deren IT?Abteilungen. Bisher hat die IT?Abteilung einen großen Teil der Verant? wortung für Verfügbarkeit und Leistung übernommen. Im digitalen Zeitalter muss die Branche jedoch die Anforderun? gen an die Anbieter weiterentwickeln und neu definieren.
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Hewlett Packard Enterprise
Published By: IBM     Published Date: Feb 05, 2015
Discovery Health ... Predictive analytics used to craft preventive programs that keep members healthier and costs lower.
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predictive analytics, preventive programs, predictive risk management, clinical risk models
    
IBM
Published By: IBM     Published Date: Jul 24, 2012
Companies using predictive analytics enjoyed a 75 percent higher click through rate and a 73 percent higher sales lift, according to a 2011 Aberdeen Group report. Download this report to see how companies are implementing predictive analytics to get these amazing results.
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predictive analytics, target, segment, optimize marketing, marketing, analytics, business technology
    
IBM
Published By: SAS     Published Date: Mar 01, 2012
This paper defines predictive analytics, then details ways this type of analytics can be applied to marketing, risk, operations and more. It also includes information relevant to a wide variety of industries - from manufacturing to hospitals.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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