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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
Published By: TeamQuest     Published Date: Jul 11, 2014
In this whitepaper you will learn about the following: • Analytics and today’s optimization challenges • What REALLY matters • Desired state and results • Methodology and ideation examples – Business and service aligned – Automated and predictive IT analytics • Recommendations Download to learn more!
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mobile app, optimizing it, automated and predictive it analytics
    
TeamQuest
Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics, business intelligence, performance management
    
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: IBM     Published Date: Apr 29, 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 profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
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
    
HP
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
    
HP
Published By: OutSystems     Published Date: Apr 10, 2014
David Norfolk of Bloor Research International discusses research that compares two high-productivity platform as a service (PaaS) development platforms: OutSystems Platform and Force.com from Salesforce.com (now re-branded as Salesforce1 Platform). In this webcast, he will debunk the main myths surrounding high-productivity application development and how both platforms have overcome them, albeit with somewhat different approaches for different kinds of customers.
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outsystems, predictive analysis, salesforce, cloud platforms, high productivity paas, management software company
    
OutSystems
Published By: OutSystems     Published Date: Apr 10, 2014
The webinar features a complex-made-simple, real-world example from Don Griest at FICO, the leading predictive analytics and decision management software company. Don discusses how the OutSystems Platform is helping FICO rapidly deliver solutions with superior quality and unprecedented time to value, thus opening up new markets for the company.
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outsystems, predictive analysis, fico, cloud platforms, high productivity paas, management software company
    
OutSystems
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
    
HP Enterprise System
Published By: SAS     Published Date: Mar 14, 2014
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
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sas, predictive analytics, technology platform, solution, operationalizing, production systems
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics
    
SAS
Published By: IBM     Published Date: Mar 07, 2014
8 to 10 page Analyst Whitepaper by Ptak / Noel addressing the need for IT to bring Analytics technology to IT to help them be more proactive, predictive providing faster mean time to repair. This paper will also explore how IBM is helping customers with it's new IT Analytics platform that offers Search, Predict and Optimize capabilities.
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ibm, big data, operational insight, it analytics, optimize capabilities, predict capabilities
    
IBM
Published By: IBM     Published Date: Mar 07, 2014
2 Page Written Case Study on Consolidated Communications that discusses the challenges they were facing and how IBM's Predictive Insights capability helped them find problems in their network infrastructure before they actually occurred.
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consolidated communications, ibm, predictive insights, infrastructure, problem solving, network
    
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
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
The closer your organization gets to your customers, the more successful it will be. Learn how to take customer relationships to a new level of intimacy using a combination of business intelligence and predictive analytics software.
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ibm, king fish media, business analytics, insights, business intelligence software, analytics quotient, roi, predictive analytics, customer behavior, customer intimacy, data warehousing
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Customer Intimacy has become an essential driver for company success.In this white paper, you’ll learn how customer intimacy can be implemented at your organization in five practical steps.
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ibm, business analytics, customer analytics, crm, customer service, customer intimacy, cem, enterprise feedback management, data warehousing, insights, predictive analytics, performance management, crm & customer care
    
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
    
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
    
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
    
IBM
Published By: Oracle     Published Date: Jan 07, 2014
Most enterprises understand the importance of listening to customer comments and conversations through social channels, and engaging and developing relationships with influencers and customer communities. But as the variety, volume, and velocity of social data continues to grow, many organizations are looking for cost-effective ways to use this data to get a better understanding and more holistic view of their customer. Social provides a unique channel to learn about your customer, and offers real-time insights like interests, actions, likes and dislikes that can provide invaluable behavioral and predictive data patterns. This social data (when aggregated with enterprise CRM data) reveals a more complete picture and understanding of customers.
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social crm social roi, social media analytics, cmo and cio collaboration, socially enabled enterprise, social business, social data, social marketing, social media management, social relationship management, marketing and technology collaboration, cmo and cio relationship, customer insight, customer experience
    
Oracle
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: Idera     Published Date: Nov 08, 2013
SQL Diagnostic Manager: Download Trial Today
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idera, sql diagnostic, free trial, download software, performance monitoring, query monitoring, history browsing, predictive alerting
    
Idera
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