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decision management

Results 101 - 125 of 246Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Oct 16, 2014
Read how your organization can maximize the value of analytics by moving beyond a focus on customers to drive excellence in operations.
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supply chain, decision management solutions, business analytics, operational excellence, production logistics, business intelligence, performance management, best practices
    
IBM
By: IBM     Published Date: Jan 09, 2015
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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big data, mdm, client analytics, real-time analysis, it management, knowledge management, data management
    
IBM
By: IBM     Published Date: Jan 16, 2015
Watch this video with Bryan Ball, Vice President and Principal Analyst for Supply Chain Management with the Aberdeen Group to find out why so many companies are turning to B2B collaboration to reduce costs, increase margins, and keep up with the escalating pace of business.
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ibm, b2b integration, b2b collaboration, business decision making, supply chain management, cost reduction, collaboration
    
IBM
By: IBM     Published Date: Feb 04, 2015
Is it easy to do business with your organization? Do your employees feel empowered to meet your customer’s needs? These are questions that you’re probably grappling with as you face a perpetually changing business environment. You strive for operational excellence and need ways to effectively acquire and retain new customers. You also need to reinvent your business operations to foster growth. Smarter Process is a way for you to work smarter as you find your way through all the operational challenges that the current business climate throws at you. It helps you use mobile, analytics, and collaboration to empower your employees to do their best work. It also empowers you as a leader to find the right tools and solutions.
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ibm smarter process, customer retention, customer-centric operations, operational decision management, knowledge management, best practices, business management, employee performance
    
IBM
By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics, it management, data management
    
IBM
By: IBM     Published Date: Mar 10, 2015
Make the right decisions to define the right features and functions to build into your products for reaching the right market at the right time. Learn about making better product decisions with a Rational Focal Point solution for product portfolio management.
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ibm, product management, product portfolio management, ibm rational approach, it management, best practices, business analytics, business intelligence
    
IBM
By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management
    
IBM
By: IBM     Published Date: Apr 15, 2015
Business Process Management For Dummies, IBM Limited Edition, shows you what BPM is and how it can help your organization. You see how the BPM solutions from IBM help you gain many benefits from higher customer satisfaction to greater agility in adapting to changing market conditions. Chapter 1:Understanding BPM Chapter 2: Getting Started with BPM Chapter 3: Putting BPM to Work for your Organization Chapter 4: Improving BPM Automation and Decision Management Chapter 5: Checking out BPM Success Stories Chapter 6: Reasons to Choose BPM from IBM
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ibm, dummies, business process management, business intelligence, best practices, automation, application integration, application performance management
    
IBM
By: IBM     Published Date: May 28, 2015
Business Process Management For Dummies, 2nd IBM Limited Edition, shows you what BPM is and how it can help your organization. You see how the BPM solutions from IBM help you gain many benefits from higher customer satisfaction to greater agility in adapting to changing market conditions.
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business process management, bpm, bpm solutions, customer satisfaction, automation, decision management, business management, business process automation
    
IBM
By: IBM     Published Date: May 28, 2015
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making.
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decision management, operation decisions, odm, collaboration, ensure security, best practices, business management
    
IBM
By: IBM     Published Date: May 28, 2015
Enable a more comprehensive BPM environment in the cloud for better business agility and growth
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business process management, bpm, bpm solutions, customer satisfaction, automation, decision management, the cloud, cloud computing
    
IBM
By: IBM     Published Date: Jul 23, 2015
Predict better academic outcomes with IBM SPSS Decision Management for Student Performance.
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predictive analytics, performance management, student performance, spss, decision management, intervention measures, graduation rates, advanced placement courses
    
IBM
By: IBM     Published Date: Dec 29, 2015
In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization.
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ibm, odm, operational decision management, threat, security, it management, enterprise applications
    
IBM
By: IBM     Published Date: Dec 29, 2015
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together.
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ibm, operational decision management, odm, business process manager, networking, it management
    
IBM
By: IBM     Published Date: Feb 16, 2016
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
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analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights, analytical applications
    
IBM
By: IBM     Published Date: Apr 05, 2016
It's no longer enough to be able to predict what might happen-organizations also need to know how to respond to predictive insights. This white paper describes how predictive analytics and decision optimization can work together to create a powerful end-to-end decision management system.
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ibm, business insight, business action, ibm decision optimization, ibm predictive analytics, knowledge management, enterprise applications, data management
    
IBM
By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
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ibm, smarter process, operational decision management, odm, knowledge management, enterprise applications
    
IBM
By: IBM     Published Date: Apr 11, 2016
In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization by helping to: *Enable faster and more agile change so your business can react more quickly to opportunities and threats *Automatically capture knowledge so it can be reused to make better business decisions *Manage compliance better by providing a clear record of the rules that govern business operations *Make operational decisions more predictable and repeatable while also allowing you to model, measure, collaborate on and refine these decisions as your business needs change *Improve customer service with more consistent and accurate rules-based decisions, as well as by personalizing the user experience
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ibm, odm, operational decision management, odm, business operations, knowledge management, enterprise applications
    
IBM
By: IBM     Published Date: Apr 18, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : 
ibm, mdm, big data, ibm infosphere, data management
    
IBM
By: IBM     Published Date: May 25, 2016
In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization by helping to: - Enable faster and more agile change so your business can react more quickly to opportunities and threats - Automatically capture knowledge so it can be reused to make better business decisions - Manage compliance better by providing a clear record of the rules that govern business operations - Make operational decisions more predictable and repeatable while also allowing you to model, measure, collaborate on and refine these decisions as your business needs change - Improve customer service with more consistent and accurate rules-based decisions, as well as by personalizing the user experience
Tags : 
ibm, odm, operational decision management, odm, middleware, connect, enterprise applications
    
IBM
By: IBM     Published Date: Jul 06, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : 
ibm, mdm, big data, ibm infosphere, data management
    
IBM
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
ibm, idc, big data, data, analytics, information governance, knowledge management, data management
    
IBM
By: IBM     Published Date: Oct 13, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : 
ibm, mdm, big data, ibm infosphere, mdm advantagw, knowledge management, enterprise applications
    
IBM
By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications
    
IBM
By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
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ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
    
IBM
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