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decision management

Results 176 - 200 of 242Sort Results By: Published Date | Title | Company Name
By: Aimia     Published Date: Jun 26, 2014
On any given day, you can ask every passenger on any given airliner what fare they’ve paid, and you’re likely to get as many different answers as the number of passengers willing (and able) to tell you. This plethora of fares is a product of complex revenue management systems evolved by airlines to optimize seat revenues. But is the current system of management the revenue endgame? Or is there an opportunity to look beyond traditional accept-or-reject decisions to build a more customer-centric revenue management system — one that builds on new customer insights to drive management decisions and uncover new sources of revenue?
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aimia, marketing, customer loyalty, branding, brand recognition, cpg, customer relationships
    
Aimia
By: IBM     Published Date: Nov 12, 2013
In today’s mobile, connected era, customers expect perfection from their service providers. With competitors only a click (or tap) away, companies have a strong incentive to deliver flawless operations. Online retailers have “set a high bar” in the way that they engage customers throughout the entire sales process—not just during the commercial transaction, but before, during and after the transaction. Can your insurance company meet the challenge?
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smarter process approach, agility, business process management, bpm, insurance, case management, operational decision management, analytics
    
IBM
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
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: Oct 01, 2014
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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mdm, big data, master data, data solutions, data management, business analytics, business intelligence, project management
    
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 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: 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.
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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
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ibm, odm, operational decision management, odm, middleware, connect, 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.
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ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications
    
IBM
By: Group M_IBM Q2'19     Published Date: May 21, 2019
ODM is the evolution of business rules management. It provides a complete, easy-to-use system for automating day-today operational decisions and allows businesspeople and IT to collaborate on business rules by using an interface and a language that are comfortable and intuitive for both. ODM not only allows you to automate your business rules, but also it enables you to apply 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. It ensures that you’re making the right decisions at the right time, when it can make a difference. What can this mean for your business? Adopting operational decision management can: • Improve customer centricity (acquisition and retention) by engaging individuals at the right time with the right offers
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Group M_IBM Q2'19
By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centricity,
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IBM
By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centrici
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IBM
By: Microsoft Dynamics     Published Date: Jul 11, 2007
This white paper addresses business and technical decision-makers for ambitious companies in which product distribution and transportation play key roles in daily operations and profitability. It describes how the comprehensive, integrated management solution represented by Supply Chain Execution for Microsoft Dynamics AX can help build an integrated logistics solution.
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scm, supply chain, radio frequency, rfid, inventory, transportation management, asset management, warehouse
    
Microsoft Dynamics
By: SAS     Published Date: Aug 28, 2018
You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient.
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SAS
By: Oracle     Published Date: Nov 13, 2013
Being responsible for one-third of a business’ success already puts HR in a critical role. But it’s not just about finding the best people—it’s about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And it’s about guiding your executive team to the right decisions using the language they understand best: numbers. Talent management—covering everything from recruiting and compensation to ongoing education and retention—has traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In today’s data-driven world, CEOs demand more. This new study conducted by HR.com explores what’s working for organizations today and the biggest gaps to fill.
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zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions
    
Oracle
By: SurveyMonkey     Published Date: Aug 25, 2015
SurveyMonkey Audience fielded a Brand Pulse study to better understand consumer buying behaviors for the L’Oréal brand and other key players within the shampoo market.
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brand management, data insights, surveymonkey, consumer behaviors, key findings, best practices, purchase decisions, crm
    
SurveyMonkey
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
    
IBM
By: IBM     Published Date: Oct 06, 2014
Business Intelligence (BI) has become a mandatory part of every enterprise’s decision-making fabric. Unfortunately in many cases, with this rise in popularity, came a significant and disturbing complexity. Many BI environments began to have a myriad of moving parts: data warehouses and data marts deployed on multiple platforms and technologies – each requiring significant effort to ensure performance and support for the various needs and skill sets of the business resources using the environment. These convoluted systems became hard to manage or enhance with new requirements. To remain viable and sustainable, they must be simplified. Fortunately today, we have the ability to build simpler BI technical environments that still support the necessary business requirements but without the ensuing management complexity. This paper covers what is needed to simplify BI environments and the technologies that support this simplification.
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data warehouses, bi environments, bi technologies, faster deployments, knowledge management, business analytics, business management, business process management
    
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.
Tags : 
big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management
    
IBM
By: VMware     Published Date: Dec 27, 2016
With Windows 10, Microsoft brings to market a mobile and cloud-ready OS that is poised to have a significant impact on organizations’ end user computing (EUC) strategy. The modern OS offers a unified platform for building apps and extending the organization’s core processes to end users anywhere and using any Windows 10-powered device. However, enterprise wide execution of this business mobility vision comes with its own set of challenges. A 2015 VMware study involving 1,000+ IT decision makers identified the following top concerns for adoption of mobility initiatives: Reduce the overall cost and complexity of management Ensure security and control of devices at all times Minimize the risk of corporate data loss With a unified endpoint management vision, VMware AirWatch® is strategically positioned to address these challenges. AirWatch's EUC solution enables organizations to fully capitalize on their mobility initiatives and IT departments to redefine themselves as true business enab
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VMware
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: 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
    
SPSS
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