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Published By: IBM     Published Date: Dec 21, 2012
Recent Gartner research indicates that the confluence of information generated by new technologies and sources such as cloud computing will create a nexus of forces that could be even more disruptive than the dot-com and e-business booms of the 1990s
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ibm, company, business intelligence, analytics, information, nexus of inforamtion
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
This report explores how cloud-based solution providers, such as managed service providers (MSPs) and independent software vendors (ISVs) are using an embedded approach to analytics in an effort to empower their customers and build a competitive advantage.
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ibm, cloud computing, analytics, business intelligence, distributed computing, mobile computing, application integration, ebusiness
    
IBM
Published By: IBM Software     Published Date: Sep 13, 2011
As marketing programs become more expensive, and response and conversion rates plummet, knowing your customers is key to maximizing the profitability of your direct marketing campaigns. View this brief video to learn how you can gain valuable insight into your customers' behaviors and more accurately predict how they will respond to your marketing efforts.
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ibm, analytics toolkit, marketers, customer behavior, technology, profitability, business analytics, business intelligence
    
IBM Software
Published By: IBM     Published Date: Aug 06, 2014
In this fact-based retail perspective, you will learn five key steps to start acting on the business insights embedded in your shopper, consumer and supplier interactions.
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ibm, retail, analytics, data, big data, insights, shopper, consumer
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Understanding customer behavior can be as inscrutable as a foreign language unless you use analytics to decipher it.
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ibm enterprise marketing management, emm, predictive analytics, visual exploration, likes and dislikes, collecting customer data, monitor customer behavior, understanding individuals
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
The basic principles for managing an archiving project presented in this paper can help you initiate and plan an archiving strategy that meets your organization’s requirements.
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ibm integrated data management, peoplesoft, business critical erp applications, daily operations, database archiving, data growth, archiving project, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution
    
IBM
Published By: IBM     Published Date: Oct 28, 2009
In the IBM white paper, "The Smarter Supply Chain of the Future: Global Chief Officer Supply Chain Study," you'll see how sensor technologies, new analytic capabilities and simulation techniques can predict, if not prevent, disruptions before they occur.
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supply chain management, ibm, risk, management systems, connectivity, scm, network, network management
    
IBM
Published By: IBM     Published Date: Jul 29, 2014
In this e-book, you will learn how to gain faster application delivery with automated release and deployment.
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ibm, ibm urbancode, application delivery, automated release and deployment, release, deployment, application release, software delivery
    
IBM
Published By: IBM     Published Date: Feb 01, 2016
This eBook will take you through the basics of application release and deployment, and provide best practices for implementation with resources for a deeper dive.
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ibm, applications, deployment, release, roi, software development, enterprise applications
    
IBM
Published By: IBM     Published Date: Apr 06, 2016
" This eBook will take you through the basics of application release and deployment, and provide best practices for implementation with resources for a deeper dive. Inside you will find: • Business and technical drivers behind automated application release and deployment • Evaluation guides • Success stories that utilize application release and deployment solutions Complete the short form to the right to download the eBook."
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ibm, application release, devops, deployment, ibm urbancode, software development, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 11, 2012
This paper discusses the challenges of managing applications in highly dynamic IT environments such as public and private Clouds. Modern enterprise applications are engineered for agility and are frequently deployed over flexible IT infrastructures.
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modern applications, architectures, infrastructure, cloud, dynamic it, web traffic, scalability, reliability
    
IBM
Published By: IBM     Published Date: Aug 30, 2017
We wrote this book to serve as a relatively simple introduction to what can be a very complex topic. Use it as a reference, not as a manual. If you’re interested in certain topics but not in others, feel free to read only certain chapters. Also feel free to skip around. You don’t have to read the chapters in order
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application release, deployment, ibm, delivery
    
IBM
Published By: IBM     Published Date: Feb 27, 2014
This book defines the basics of application release and deployment, and provides best practices for implementation with resources for a deeper dive.
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ibm, ibm software, application release, deployment, software delivery, delivery methods, deployment standards, implementation
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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analytics, ibm, operational decision manager, operations, brand, data, big data, trends
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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ibm, odm, operational, decision, maker, analytics, update, v8.7
    
IBM
Published By: IBM     Published Date: Mar 31, 2016
"Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action. "
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ibm, ibm operational decision manager, ibm odm advanced, process improvement, business analytics, business insights, business integration, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 07, 2016
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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ibm, odm, middleware, ibm operational decision manager, application services, networking, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 18, 2015
DevOps processes and tools help retailers compete in fast-paced mobile, digital and physical markets. See what retailers can do to deliver innovation faster. Test virtualization and deployment automation can improve front-end mobile and back-end mainframe development processes.
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ibm, devops, retail industry, devops processes, test virtualization, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 10, 2014
IBM Rational solutions for the oil and gas industry combine process, requirements, architecture, models and test tools with an underlying platform that supports requirements management, risk analysis, conformance assessments and more.
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ibm, requirements management, risk analysis, conformance assessments, addressing complexity, manage requirements, manage compliance, it management
    
IBM
Published By: IBM     Published Date: Jun 16, 2009
Previously known as Watchfire AppScan, Rational® AppScan® Standard Edition V7.8 is a leading testing tool that scans and tests your Web applications for all common vulnerabilities. Download the trial to see how it automates the testing process so you can address problems early.
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trial, appscan, watchfire, rational appscan, ibm, mmdg, testing, web application
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth
    
IBM
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