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Published By: IBM     Published Date: Nov 14, 2014
IBM SPSS Modeler is a powerful, versatile data and text analytics workbench. Learn how you can build accurate predictive models quickly and intuitively, without programming. So you can use data to understand the current state of your organization and get a view into the future.
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ibm, webinar, business intelligence, entity analytics, modeler, automated modeling, predictive intelligence, building models
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
Data mining uncovers patterns in data through a variety of predictive techniques. By engaging in data mining, organizations like yours gain greater insight into external conditions, internal processes, your markets – and your customers.
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ibm, data mining, data management, business results, predictive intelligence, business insights
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
IBM® SPSS® Modeler is a powerful, versatile data mining workbench that helps you gain unprecedented insight from your data.
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ibm, data mining, data management, business results, predictive intelligence, business insights
    
IBM
Published By: IBM     Published Date: Nov 06, 2014
In this webcast, you’ll learn how IBM® SmartCloud® Analytics—Predictive Insights helps you prevent application degradation and service outages.
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operations analytics, it analytics, service outage prevention, monitoring management solutions
    
IBM
Published By: HP     Published Date: Nov 05, 2014
HP Proactive Care helps prevent problems and stabilize IT by utilizing secure, realtime, predictive analytics and proactive consultations when your products are connected to HP. Benefits include: • Problem prevention • Predictive analytics for proactive reports • Personalized consultation with a Technical Account Manager • Rapid access to advanced technical experts Download this customer brief now.
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proactive care, it stability, problem protection, reduce risks, prevent it issues, care service, gen9, customer brief
    
HP
Published By: IBM     Published Date: Oct 16, 2014
This white paper outlines some of the major factors affecting inventory and supply chain management, and covers practices and capabilities that distinguish the most successful approaches to this complex process. You'll learn the factors to consider as you evaluate the maturity of your organization's supply chain and inventory management processes as well as recommendations for incremental improvements that can enable you to cost-effectively upgrade your inventory management system, one step at a time.
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predictive analytics, inventory management, supply chain, supply chain management
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
Maximize asset productivity and process efficiency by gaining insight from your data.
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asset productivity, predictive maintenance, process efficiency
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
As part of the IBM® SMART Program, Andrews Distributing worked with Southern Methodist University to develop a predictive analytics solution that mines data on 1,000 SKUs sold at 10,000 retailers, and reveals new insights about beer category sales in different retail environments.
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distribution model, analytics services, predictive analytics, sales growth
    
IBM
Published By: IBM     Published Date: Oct 14, 2014
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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it trends, data center strategies, cloud computing, mobile technology
    
IBM
Published By: IBM     Published Date: Oct 06, 2014
IBM’s Social Media Analytics solution helps your company take advantage of everything social media has to offer in terms of getting closer to your customers, combining social media analysis and reporting with IBM SPSS predictive analytics technology.
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social media, advanced analytics, customer insight, social media analytics
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.
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big data, data integration, healthcare
    
IBM
Published By: SAS     Published Date: Sep 30, 2014
In this paper – which is based on a webinar hosted by the Direct Marketing Association (DMA) and sponsored by SAS – we will take a look at how these technological advancements can enable you to become more predictive and prescriptive in your digital and integrated marketing efforts.
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sas, direct marketing association, integrated marketing efforts, digital marketing efforts, search marketing
    
SAS
Published By: HP     Published Date: Sep 04, 2014
AgilOne is a cloud-based predictive intelligence company that is experiencing a high growth rate. The company needed to find, and quickly deploy, a scalable storage solution to support its big data performance and future scalability requirements. Today, utilizing its 3PAR StoreServ storage solutions, AgilOne boasts a lower cost per terabyte, higher efficiency, and the ability to rapidly accommodate its new customers.
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3par, agilone, cloud, intelligence, storage, solution, data, scalability
    
HP
Published By: CA Technologies     Published Date: Aug 19, 2014
IT organizations are increasingly being called upon to cost-effectively deliver reliable support for the entire catalog of business services, or risk outsourcing to a managed service provider.
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ca technologies, capacity management, business automation, business intelligence, business scoring
    
CA Technologies
Published By: IBM     Published Date: Aug 14, 2014
Watch this video to see how Denmark’s leading retailer, Coop Danmark, is using predictive analytics and real-time data access to understand customer demand and make more profitable merchandising decisions.
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ibm, retail, margins, profit, denmark, analytics, data
    
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: 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
    
HP
Published By: Panduit     Published Date: Aug 07, 2014
Optimizing cooling is one of the first areas data center managers should look to in order to reduce costs and increase efficiency.
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panduit, data center cooling, cooling efficiency, energy, power and cooling, data center energy costs
    
Panduit
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 06, 2014
For banks today, having more ways to communicate with customers is a good thing. But it has also made it harder for banks to figure out where and how to most profitably commit their marketing resources. Leveraging predictive analytics, First Tennessee Bank is applying the ultimate acid test. It’s combining a granular understanding of the needs of customer segments with real P&L data to optimize its marketing spend, focusing on programs that deliver the highest ROI. First Tennessee’s ability to target its campaigns more intelligently has increased its response rate by 3.1 percent, cut key marketing costs by nearly 20 percent and enables the bank to get the most from its resources.
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ibm, banking, analytics, roi, marketing, p&l, data, emerging marketing
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
In a competitive landscape that favors the fastest and the smartest, financial services firms that invest in building sophisticated insight and predictive analytics will be better positioned to emerge as market leaders.
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ibm, banking, competition, future, financial, services, analytics
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer, profit, analytics, costing models
    
IBM
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
    
EMC Corporation
Published By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance
    
EMC Corporation
Published By: EMC Corporation     Published Date: Aug 05, 2014
To develop the visibility, agility and speed to deal with advanced threats, traditional security strategies for monitoring, often based around security information and event management (SIEM) systems need to evolve into a central nervous system for large-scale security analytics. In particular, four fundamental capabilites are required: 1. Pervasive visibility 2. Deeper analytics 3. Massive scalability 4. Unified view Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance
    
EMC Corporation
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