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operational decisions

Results 1 - 25 of 35Sort Results By: Published Date | Title | Company Name
Published By: Workday     Published Date: Sep 19, 2018
The data deluge problem isn’t just about the amount of internal, operational data being stored, but also the level of granularity available. The finance and HR teams of many institutions still operate on outdated systems that are only able to store aggregate data with complex details summarized. While these systems may be sufficient for the purpose of financial reporting, they’re unable to keep up with the level of complexity needed to drive business decisions.
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Workday
Published By: Oracle CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle CX
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: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware
Published By: Cisco     Published Date: Nov 18, 2015
The Internet of Things (IoT) stands to benefit a number of key public sector subverticals, particularly public safety, because it will be leveraged to enhance real-time situational awareness, improve response times and safety, function as a force multiplier, help minimize operational expenditures, and facilitate evidence-based operations and real-time safety decisions. The following questions were posed by Cisco to Dr. Alison Brooks, research director, on behalf of Cisco's customers.
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cisco, idc, public safety, iot, internet of things, response time, situational awareness, it management, knowledge management
    
Cisco
Published By: Juniper Networks     Published Date: Oct 02, 2018
Without specific and explicit design decisions about not only the network architecture but also network operations,enterprises risk drifting toward a future of many clouds, each with their own operational nuances. Those who are not mindful about managing new additions increase the complexity of their network with each variation. This white paper discusses how to approach the design of the network and operations in the move from cloud to multicloud. The focus is on meeting the business needs of today and tomorrow, battling complexity, preserving the possibilities for options, and supporting IT’s role as the steward of technology decisions for the business.
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Juniper Networks
Published 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
Published 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
Published By: MuleSoft     Published Date: Jan 25, 2016
Data is one of the most valuable business assets. Companies are using data to provide more personalized, tailored experiences to their customers, analyzing customer and operational behavior to make better decisions, and providing web and mobile apps to their customers, employees, and partners. As the keys to that data, APIs are poised to become valuable business assets in and of themselves. In this whitepaper, we'll learn how APIs are currently transforming the enterprise, and how they will become even more integral to how we do business in the future.
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data management, business practices, data center. data application, enterprise applications, api management, application integration, application performance management, best practices, business activity monitoring, business intelligence, business management, content integration, content management system
    
MuleSoft
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: FICO     Published Date: Jan 11, 2018
Many organizations consider optimization only for their largest or most challenging business problems, often utilizing a small number of Operations Research professionals. But in our age of Big Data, market globalization and increased competition, many organizations are successfully making the case that optimization can be applied to a wider variety of business and operational decisions, and be developed by a new group of users — the organization’s business analysts. With a proven track record of results demonstrating that organizations can increase profitability with business analysts applying optimization to many types of business problems, FICO’s proven development methodology is giving organizations the confidence to extend optimization practices across their enterprises.
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business analyst, optimization, fico, partnership, credit, collections, banking, finance
    
FICO
Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle
Published By: Vehicle Tracking Solutions     Published Date: May 31, 2018
When implementing an enterprise fleet management and telematics solution, enterprise fleets, large and small, see significant value, cost-savings, and operational excellence that result in maximized profits across your organization's bottom line. This guide will assist you in learning about the wide range of benefits from a dynamic enterprise fleet management and telematics software and the latest features empowering fleets to make data-driven decisions that improve safety, efficiency, and productivity to drive long-term quantifiable success.
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Vehicle Tracking Solutions
Published By: Cisco     Published Date: Jul 11, 2016
The Internet of Things (IoT) stands to benefit a number of key public sector subverticals, particularly public safety, because it will be leveraged to enhance real-time situational awareness, improve response times and safety, function as a force multiplier, help minimize operational expenditures, and facilitate evidence-based operations and real-time safety decisions.
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Cisco
Published By: LANDesk     Published Date: Aug 26, 2009
Service management solutions have the potential to return very significant hard-currency ROI. Successful implementations dramatically improve decision accuracy, enhance productivity, increase operating efficiency and reduce operational risk by providing comprehensive context for a wide range of management decisions.
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avocent, itsm, it service management, itil, integration, sla, it infrastructure library, green it, business management, maturity model, best practices, crm, customer relationship management, crm tools, sla, return on investment, web service management
    
LANDesk
Published By: IBM     Published Date: Aug 08, 2012
IBM Analytical Decision Management revolutionizes how organizations make decisions by optimizing and automating high-volume, operational decisions at the point of impact to drive better business outcomes. In this technical white paper, learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
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ibm, technology, optimized decision-making, analytical decision management, decision management, automation, technology, decision management solution, best practices, business management, business intelligence
    
IBM
Published By: IBM ILOG.     Published Date: Jul 14, 2009
Has your organization run into difficulties adapting to evolving business conditions? Is there interest in being able to increase the efficiency of your operational processes? Are your business experts looking to more easily control the decisions within mission-critical systems? If you have answered 'yes' to any of the above, you may benefit from integrating a Business Rules Management System (BRMS) into your organization's overall enterprise architecture.  Learn more today!
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ibm, organization, brms, business conditions, business rules management system, enterprise, improvement, profitabilty, decrease cost, enterprise applications, business management, customer relationship management
    
IBM ILOG.
Published By: IBM     Published Date: Mar 07, 2016
This ebook examines the role of enterprise asset management (EAM) tools in the era of the Internet of Things, and explores how you can use these capabilities to take full advantage of data, boost operational efficiencies and make better decisions faster.
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ibm, oil, gas, iot, asset management, data, operations, knowledge management, enterprise applications
    
IBM
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, best practices, business analytics, analytical applications, data quality
    
SAS
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, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions, it management, data management, best practices, business intelligence
    
IBM
Published By: IBM     Published Date: Feb 11, 2015
IBM® Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments.
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ibm, customer-centric business, operational manager, decision manager, business policies, it management, enterprise applications, data management, content management system
    
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, business activity monitoring, business analytics, business intelligence, business management
    
IBM
Published 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
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