predictive analysis

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Published By: Aberdeen Group     Published Date: Aug 04, 2015
The practice of using predictive analytics for marketing is becoming much more commonplace, but, in many ways, this field is still immature. Marketers are using analytics to identify new prospects, qualify leads, predict close rates, and optimize pricing, but there are still many ways to refine these methods -- along with many pitfalls to avoid. Download this white paper to learn how to win the B2B marketing analytics poker game.
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predictive analytics, leads, pricing, close rates, public data, social media, data analysis
    
Aberdeen Group
Published By: Adobe     Published Date: Apr 03, 2015
Download our new white paper, Top Analysis Tips & Tricks for 2015, to discover best practices for marketing analytics success. Packed with practical advice from digital marketing experts and industry insight from Web Analytics Demystified, this hands-on guide will help you unleash the power of your Adobe Analytics solution so you can: • Implement advanced segmentation strategies • Make the most of marketing attribution • Build models for predictive analysis
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analytics, marketing analysis, adobe, segmentation strategy, marketing attribution, predictive analysis
    
Adobe
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: AWS     Published Date: Jun 11, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: EMC Corporation     Published Date: Aug 05, 2014
It’s an exciting yet daunting time to be a security professional. Security threats are becoming more aggressive and voracious. Governments and industry bodies are getting more prescriptive around compliance. Combined with exponentially more complex IT environments, security management is increasingly challenging. Moreover, new “Big Data” technologies purport bringing advanced analytic techniques like predictive analysis and advanced statistical techniques close to the security professional.
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security, it management
    
EMC Corporation
Published By: Epicor     Published Date: Jul 18, 2017
Big-box retailers often have the resources, product variety, and name recognition to get ahead of smaller competitors. However, small and midsize businesses are able to crush the big-box stores where it matters most—the customer experience. Whether by design, geography, or as a matter of principle, small and midsize retailers are closer to their customers and are able to engage them on a level that big-box stores simply cannot. This closeness—combined with the right retail management system—allows smaller business to deliver a superior shopping experience with: • Special orders • Predictive inventory analysis • Digital, mobile channels and device integration This white paper—written by Innovative Retail Technologies and sponsored by Epicor—explains how the right software solution leads to a more agile retail strategy, which then leads to a better experience for your customers.
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retail store software, retail sales software, retail saas, business retail software, epicor eagle, benefits of epicor eagle, benefits of retail pos, advantages of retail saas, advantages of retail store software
    
Epicor
Published By: HP     Published Date: Apr 13, 2014
With growth in the volume and variety of data needed to monitor and manage complex IT systems, IT leaders have had to acquire new technologies to manage this data. This will require that a single, architected platform be procured to improve root-cause analysis and short-term predictive analysis.
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ops analytics, operations analytics, gartner, big data, analytics, predictive analytics, bsm, business service management, enterprise applications, data management
    
HP
Published By: HP     Published Date: Apr 23, 2014
With growth in the volume and variety of data needed to monitor and manage complex IT systems, IT leaders have had to acquire new technologies to manage this data. This will require that a single, architected platform be procured to improve root-cause analysis and short-term predictive analysis.
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ops analytics, operations analytics, gartner, big data, analytics, predictive analytics, bsm, business service management, enterprise applications, data management
    
HP
Published By: HP     Published Date: Aug 08, 2014
When you have voluminous data sets growing at an unabated rate, in formats that are unique and complex, how do you address your backup and recovery needs? While relying on traditional backup and recovery solutions can complicate matters, a better approach is to use a solution that enables your IT organization to make decisions that are more intelligent by integrating predictive analysis and an adaptive approach to backup and recovery.
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transform, backup, recovery solutions, lower costs, speed recovery, infrastructure, risk, simplified management, performance, connectivity, enterprise applications
    
HP
Published By: HP Enterprise System     Published Date: Apr 03, 2014
SAP HANA is a powerful, in-memory computing platform that streamlines business suite applications, analytics, planning, predictive analysis, and sentiment analysis on a single platform, so businesses can operate in real time. The design approach for enterprise-level solutions involving SAP HANA, and the best practices surrounding them, isn’t intrinsically different from the approach to any other enterprise-level solution for technology implementations. This paper is written to address those elements of good solution design and apply them to the SAP landscape, with particular focus on the SAP HANA element.
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sap hana, as a service solution, solutions, cost effective, operational management, accelerate value, enterprise applications, data management
    
HP Enterprise System
Published By: IBM     Published Date: Jun 19, 2008
Discover the high performance, flexibility and extreme availability of IBM System x3550 Express rack-mount server. IBM PowerExecutive software manages energy usage to keep costs and heat output down. And advanced predictive failure analysis and Light Path Diagnostics keep you up and running, reduce down time and service costs. Watch this video demo of the IBM System x3550 Express to see how it compares to competitive products and how it can bring savings, power and reliability to your business.
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ibm, express seller, system x, server
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
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predictive customer analytics, ibm, decision management, consumer insight, customer, crm, customer relationship management, retain customer, grow relationships, rfm analysis, business intelligence, customer wants
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
This white paper examines the role social media can play in presenting a more strategic view of customer data and how the right combination of technologies can deliver insight to help companies more effectively meet perpetually shifting consumer demands expressed through, and influenced by, these dynamic communication channels. Discover the implications of social media for marketing and sales, as well as IT. And learn the how and why social media tools and applications can be integrated with existing technology investments.
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social media analytics, consumer insight, marketing digitization, ibm, facebook, strategic considerations, lower cost, influence, intimacy, scale, speed, assess, measure, integrate, predictive capabilities, virtualization, analysis
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Manage physical and virtual assets, maintain your infrastructure and capital equipment and maximize the efficiency of your people, processes and assets with predictive analytics.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, operational value cycle, ibm spss, asset management, infrastructure management, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Predictive maintenance taps into the sets of structured and unstructured data that organizations already have available.
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ibm, business analytics, operational analytics, predictive maintenance, predictive analytics, data analysis, efficiency, roi, infrastructure mangamenet, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
A car company thought they had a problem with their brake lights. Predictive analytics helped reveal the true culprit.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, asset management, detection, maintenance, operations, it management, business technology
    
IBM
Published By: IBM     Published Date: Feb 12, 2014
Read about a four-step program for incorporating risk into your business forecasting and learn to spot traps that can snare the unwary.
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ibm, business analytics, finance, forecasting, risk management, business forecasting, predictive analysis, forecasting lexicon, business technology
    
IBM
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: IBM     Published Date: Sep 08, 2015
Please join us for an in-depth discussion of the latest data and analytics capabilities that banks are using today to uncover new customer insight - at the individual level - to improve offers and cross sell, optimize campaigns and deliver profitable revenue. The discussion will explore how leading banks are employing predictive analysis on customer data not often analyzed - like individual transactions, interactions, behavior and social media. See how banks can move beyond traditional segmentation and enable marketing to the "Segment of One."
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banking, finance, customer engagement, analytics, insights, segmentation, data management, business technology
    
IBM
Published By: IBM     Published Date: Oct 21, 2015
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analysis, enterprise, analytics, networking, data center, research
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join IBM and partner Zementis in this webcast to hear how Predictive Model Markup Language (PMML), an industry standard, is helping solve business obstacles and enabling users to: - Drive timely and relevant insights via in-line predictive analytics - Score thousands of data records per second, scaling with business needs to enable instantaneous decisions - Improve performance and cost efficiency by reducing or eliminating movement data off-platform to conduct analysis
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ibm, z systems, predictive analytics, analytics tools, zementis, predictive model markup language, pmml, security, knowledge management, enterprise applications, analytics, data science
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
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ibm, commerce, analytics, customer analytics, insights, research, customer journey, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
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ibm, analytics, fraud analytics, insurance, fraud
    
IBM
Published By: IBM     Published Date: Feb 27, 2017
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
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hypatia research group, cognitive analysis, predictive analysis, customer journey
    
IBM
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