predictive analysis

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Published By: IBM Software     Published Date: Nov 02, 2010
Learn how the right blend of customer-centric strategies and advance analytic tools can help your business achieve advantage.
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ibm cognos predictive analysis, customer intimacy imperative, analytic tool, crm
    
IBM Software
Published By: IBM Software     Published Date: Nov 02, 2010
This paper describes five practical steps companies can take to achieve customer intimacy and, by doing so, provide a springboard for excellence in the other critical value disciplines.
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ibm cognos predictive analysis, business performance, customer relationship, customer intimacy
    
IBM Software
Published By: IBM Software     Published Date: Nov 02, 2010
Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy, and saving time and resources.
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ibm cognos predictive analysis, data mining, insurance fraud detection, analytical technique, prevention
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
In this technical white paper from IBM, learn how predictive analytics can be used to detect internal and external threats to your organization.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
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: AWS     Published Date: Jul 24, 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: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: SAP     Published Date: Feb 13, 2009
In today's economic downturn, organizations are looking for ways to improve the way they do business to keep ahead of the competition and improve revenue. Increasingly, organizations are finding that the benefits of BI can be complemented when combined with predictive analysis.
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sap, business intelligence, economic downturn, predictive analytics, enterprise
    
SAP
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: SPSS Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
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spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
    
SPSS Inc.
Published By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS Inc.
Published By: TeamQuest     Published Date: Dec 19, 2014
Businesses are constantly putting pressure on price, performance and reliability of IT services and infrastructure. Recent adoption of technologies such as virtualization, dynamic computing and various forms of cloud computing coupled with changing management paradigms has raised the stakes even more. This ruthless drive for efficiency calls for the use of more sophisticated optimization methods. It is safe to say that if you don’t, chances are you will be “done” by others who do.
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infrastructure, virtualization, optimization, guide, descriptive, diagnostic, predictive, prescriptive, analysis, efficiency, risk, white, paper, it management, knowledge management, data management, data center
    
TeamQuest
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: 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: 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: 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
    
IBM
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: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making, enterprise applications
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
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spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics, statistical analysis, cable network operator, tailored marketing, targeted marketing, best-of-breed, data mining technology, customer feedback, customer lifecycle, cross-selling, data management, data analysis, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
Tags : 
spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS, Inc.
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