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management systems

Results 276 - 300 of 610Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, cognitive computing, analytics, engagement
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Master data management (MDM) programs provide ways to ensure that data is consistent in different systems throughout an organization, but poorly managed initiatives are large and complicated affairs. This handbook will provides practical advice on how to develop and implement successful MDM programs that can pay big business dividends. Discover expert advice on: - Strategies and tactics for effective MDM processes - The technology considerations that should be factored into project plans - The ramifications of incorporating pools of “big data” into MDM efforts - And more
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
The National Institute for Standards and Technology (NIST) and the Defense Information Systems Agency (DISA) have taken leading roles in exploring requirements for Mobile Device Management (MDM) systems for government agencies. Mobile devices, particularly smartphones, are exceptionally vulnerable to security breaches. They are easily lost, are filled with unknown applications, communicate over untrusted networks, and are often purchased by users without regard to IT standards and security features.
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mobile security, mobile device management, enterprise data, application security, information security, communication interception, business data, app security
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: IBM     Published Date: Sep 11, 2017
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. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
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odm, management, operation-decision making, intelligence systems
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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data, enterprise resource planning, customer relationship management, business intelligence, data management systems
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: IBM     Published Date: Oct 26, 2017
With the growing demand of business for tighter communication and collaboration with external parties such as business partners and customers, IT has to provide the technical foundation for such integration. Web Access Management and Identity Federation are key technologies for that evolution. They enable organizations to manage access both from and to external systems, including cloud services, in a consistent way. Organizations have to move forward towards strategic approaches to enabling that integration, in support of the Extended and Connected Enterprise.
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access management, identity federation, it strategies, security, infrastructure
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
Many organizations face access management chaos. As applications and resources have spread across on-premise data centers and multiple cloud providers, users are often accessing these resources from anywhere and on multiple devices. These simultaneous trends have left access management systems fragmented and access polices inconsistent, resulting in an environment that is expensive to maintain and challenging to secure.
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access management, integrated platform, cloud security, enterprise security, data security
    
IBM
Published By: IBM     Published Date: Apr 25, 2018
Many retailers are investing in distributed order management systems to optimize their consumer order fulfilment performance. Chief supply chain officers can use this research to successfully implement these systems into their business application landscape.
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b2c, ibm, order management, supply chain
    
IBM
Published By: IBM     Published Date: Jul 02, 2018
Far from being a soft issue, trust underpins the management of your digital business and digital ecosystems. This report highlights how trust is fundamental to your digital transformation. It focuses on the role of trust in the B2B context and analyzes the key technologies, processes, and operational values that CIOs and their teams must use to build and maintain trusted ecosystem partnerships
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IBM
Published By: IBM APAC     Published Date: Aug 22, 2017
For many organizations, managing network vulnerabilities and risks is a lesson in frustration. Vulnerability scans are typically conducted in response to compliance mandates, and they can reveal up to tens of thousands of exposures—depending upon network size. Scan results are often a complex puzzle of misconfigured devices, unpatched software, and outdated or obsolete systems. And security administrators must struggle to quickly identify and remediate or mitigate the exposures that pose the greatest risk.
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network security, account security, data management, network security, secure systems, application security, network performance, network diagnostics
    
IBM APAC
Published By: IBM ILOG.     Published Date: Oct 26, 2009
Find out how the role technologies such as Business Rule Management Systems (BRMS) and Optimization software will play in helping Healthcare organizations of all types and sizes build smarter processes that allow you to adapt to change faster, overcome process silos and improve patient care and safety.
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ibm, ilog, healthcare, productivity, business rule management systems, brms, silos, optimization software, risk assesment, compliance risk
    
IBM ILOG.
Published By: IBM ILOG.     Published Date: Oct 26, 2009
Smarter State Government Processes in 2010 - Enabling Citizen-Centric Processes, Transforming Service Delivery and Reducing Costs with IBM WebSphere ILOG Business Rule Management System (BRMS) Technology
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ibm, ilog, business rule management systems, brms, websphere, government, tax, revenue management, system intergration
    
IBM ILOG.
Published By: IBM ILOG.     Published Date: Oct 26, 2009
IBM WebSphere ILOG Rule Solutions for Office meets the demands of business users by integrating Microsoft Office Word and Excel with the market-leading WebSphere ILOG BRMS. See Rules for Office in action during this one-hour webinar, including a live demonstration.
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ibm, ilog, business rule management systems, brms, websphere, application integration
    
IBM ILOG.
Published By: IBM ILOG.     Published Date: Oct 26, 2009
This automation not only cuts costs by reducing manual tasks, bottlenecks and errors-it also delivers the right answer to the right person at the right time.
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ibm, ilog, business rule management systems, brms, insurance operation, business intelligence
    
IBM ILOG.
Published By: IBM ILOG.     Published Date: Dec 11, 2009
Businesses today need a Business Rule Management Systems (BRMS) solution that supports business changes and cycles far more effectively than traditional methods and takes direct advantage of business expertise. This IBM RedpaperT publication is intended for anyone who is interested in learning more about IBM WebSphere ILOG Rules for COBOL.
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ibm redpaper, websphere ilog rules, cobol, code, cics channels and containers, business rule management systems, brms
    
IBM ILOG.
Published By: IBM ILOG.     Published Date: Dec 11, 2009
Learn how the WebSphere ILOG JRules Business Rules Management System (JRules BRMS) can automate decision making for data validation, eligibility and pricing in a real-world scenario. This demo shows how JRules BRMS allows organizations to gain a competitive advantage by adapting business systems to evolve with changing business policies and decisions. Click to view this demo!
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ibm ilog, brm, business rule management system, jrules, websphere, author, deploy rules, business rules management
    
IBM ILOG.
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
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ehr, ibm, health management, population health management, data aggregation, information systems
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Jul 25, 2018
Most population health management strategies include initiatives to improve clinical outcomes and decrease the cost of care. Read this one-page interview with Dr. Tina Moen, Deputy Chief Health Officer at IBM Watson Health, as she shares the benefits and insights of collaborative medication management, including incorporating pharmacists in population health strategies.
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operational costs, medication management, population health, strategies, pharmacy, pharmaceuticals, hospitals, health systems, quality of care, clinical decision support
    
IBM Watson Health
Published By: IEX     Published Date: May 27, 2008
Since the cost of staffing in most call centers is between 60 and 70 percent of the total budget, the incremental benefits of selecting the best solution for your operation and implementing it successfully are significant. Companies in the market for a workforce management tool today face a mind-boggling array of choices. Automated workforce management systems range from quite simplistic to highly complex, with a wide range of price tags to match. This paper will help contact center managers navigate the choices.
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call center management, customer service, workforce management, contact management, iex, contact center, call center
    
IEX
Published By: Indicative Software     Published Date: Aug 24, 2007
Learn about agent-based versus agentless monitoring approaches to enterprise management, and how a combination of data collection technologies can realize the benefits of both.
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enterprise management, enterprise monitoring, data collection, data collection engines, agent-based monitoring, agentless monitoring, performance monitoring, application performance, synthetic monitoring, passive monitoring, active monitoring, service level management, service management, systems management, indicative, infrastructure, monitoring, network performance management
    
Indicative Software
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