operational decisions

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Architecting a Big Data Platform for Analytics by Mike Ferguson

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

IBM Operational Decision Manager Advanced

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

Apply Analytics and Insights to Operational Decisions with IBM ODM Advanced

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, business technology
    
IBM

Operational Decision Management for Dummies

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
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ibm, odm, operational decision management, odm, middleware, connect, enterprise applications, business technology
    
IBM

Apply Analytics and Insights to Operational Decisions With ODM Advanced

Published By: IBM     Published Date: Dec 15, 2016
Register today to learn more about this exciting release, its new features, and how you can drive new value for your organization: - Improve customer centricity by engaging individuals at the right time with the right offers - Cut operating costs and reduce fraud by gaining real-time visibility and insights into transactions and business operations - Empower knowledge workers and leverage mobile technologies to create more engaging experiences
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ibm, middleware, operational decisions, odm advanced, enterprise applications
    
IBM

ODM for Dummies

Published 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

Scaling Data Integration to Handle Big Data

Published By: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
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scaling data, big data, customer behavior, product usage, data integration
    
IBM

TDWI Best Practices Report: Operationalizing and Embedding Analytics for Action

Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS

Geeknet: Business Analytics for Midsize Businesses: Challenges and Benefits

Published By: IBM     Published Date: Apr 04, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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geeknet, business analytics, midsize businesses, challenges, benefits, business intelligence
    
IBM

Geeknet: Business Analytics for Midsize Businesses: Challenges and Benefits

Published By: IBM     Published Date: Sep 27, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, geeknet, business analytics, analytics, midsize businesses, business intelligence, it management, data management, business technology
    
IBM

Geeknet: Business Analytics for Midsize Businesses: Challenges and Benefits

Published By: IBM     Published Date: Jan 02, 2014
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, business analytics, midsize businesses, geeknet, business intelligence, customer volatility, market volatility, variety of data, it managers, implementing analytics, ba systems, ba solutions, in-house analytics, ba capability, scorecarding, time-to-insight, business risk, business planning, data management, it spending
    
IBM

Apply Analytics and Insights to Operational Decisions With ODM Advanced

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, business process automation, business process management
    
IBM

Apply Analytics and Insights to Operational Decisions With ODM Advanced

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, business technology
    
IBM

Operationalizing and Embedding Analytics for Action

Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
Tags : 
best practices, embedding analytics, technology, data, operational analytics, business analytics, business management, business technology
    
SAS

Apply Analytics and Insights to Operational Decisions With ODM Advanced

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, decisions, data, scope, scale, speed, context, knowledge management, employee performance, project management, business technology
    
IBM

7 Questions SRM Leaders Aren't Asking OT Security Providers During Technology Selection

Published By: Tenable     Published Date: Mar 08, 2018
Which questions have you overlooked and why do the answers matter? According to Gartner, “OT SRM (security and risk management) leaders must ask the right questions during the technology procurement process to achieve long-term success in their security investments.” Further, Gartner states, “Translating IT security practices and copying IT security technology will not result in a secure operational technology (OT) environment.” By reading “7 Questions SRM Leaders Aren't Asking OT Security Providers,” you’ll learn which questions to ask, why they matter, and be armed with follow-up guidance to make smarter decisions. Questions covered include: - Does the Solution Provide Asset Discovery to Enable Operational Continuity and System Integrity? - Does the Solution Detect and Alert on Known Common Vulnerabilities and Exposures? - Does Your Solution Provide IT Support in Addition to OT? - Does Your Solution Support Secure IT/OT Alignment? Threats and vulnerabilities originally targeti
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Tenable
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