Systems Of Insight For Digital Transformation Using Ibm Operational Decision Manager Advanced And Predictive Analytics

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Systems Of Insight For Digital Transformation Using Ibm Operational Decision Manager Advanced And Predictive Analytics

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Author : Whei-Jen Chen
language : en
Publisher: IBM Redbooks
Release Date : 2015-12-03

Systems Of Insight For Digital Transformation Using Ibm Operational Decision Manager Advanced And Predictive Analytics written by Whei-Jen Chen and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-03 with Computers categories.

Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. 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. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.

Systems Of Insight For Digital Transformation

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Author : Whei-Jen Chen
language : en
Publisher:
Release Date : 2015

Systems Of Insight For Digital Transformation written by Whei-Jen Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Decision making categories.

Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. 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. This ...

Recent Trends And Future Direction For Data Analytics

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Author : Kumari, Aparna
language : en
Publisher: IGI Global
Release Date : 2024-05-14

Recent Trends And Future Direction For Data Analytics written by Kumari, Aparna and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.

Emerging Technologies In Computing

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Author : Mahdi H. Miraz
language : en
Publisher: Springer Nature
Release Date : 2021-11-03

Emerging Technologies In Computing written by Mahdi H. Miraz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-03 with Computers categories.

This book constitutes the refereed conference proceedings of the 4th International Conference on Emerging Technologies in Computing, iCEtiC 2021, held in August 2021. Due to VOVID-19 pandemic the conference was helt virtually. The 15 revised full papers were reviewed and selected from 44 submissions and are organized in topical sections covering Information and Network Security; Cloud, IoT and Distributed Computing; AI, Expert Systems and Big Data Analytics

Decision Management Systems

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Author : James Taylor
language : en
Publisher: Pearson Education
Release Date : 2011-10-13

Decision Management Systems written by James Taylor and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-13 with Business & Economics categories.

"A very rich book sprinkled with real-life examples as well as battle-tested advice.” —Pierre Haren, VP ILOG, IBM "James does a thorough job of explaining Decision Management Systems as enablers of a formidable business transformation.” —Deepak Advani, Vice President, Business Analytics Products and SPSS, IBM Build Systems That Work Actively to Help You Maximize Growth and Profits Most companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments? Decision Management Systems can do all that and more. In this book, the field’s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you’ll learn how to combine technologies such as predictive analytics, optimization, and business rules—improving customer service, reducing fraud, managing risk, increasing agility, and driving growth. Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges. Coverage includes Understanding how Decision Management Systems can transform your business Planning your systems “with the decision in mind” Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative

Machine Learning With Business Rules On Ibm Z Acting On Your Insights

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Author : Mike Johnson
language : en
Publisher: IBM Redbooks
Release Date : 2019-12-11

Machine Learning With Business Rules On Ibm Z Acting On Your Insights written by Mike Johnson and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with Computers categories.

This Redpaper introduces the integration between two IBM products that you might like to consider when implementing a modern agile solution on your Z systems. The document briefly introduces Operational Decision Manager on z/OS and Machine learning on z/OS. In the case of Machine Learning we focus on the aspect of real-time scoring models and how these can be used with Business Rules to give better decisions. Note: Important changes since this document was written: This document was written for an older release of Operational Decision Manager for z/OS (ODM for z/OS). ODM for z/OS 8.9.1 required the writing of custom Java code to access a Watson Machine Learning for z/OS Scoring Service (this can be seen in ). Since that time ODM for z/OS version 8.10.1 has been released and much improves the integration experience. Integrating the two products no longer requires custom Java code. Using ODM for z/OS 8.10.1 or later you can use an automated wizard in the ODM tooling to: Browse and select a model from Watson Machine Learning Import the Machine Learning data model into your rule project Automatically generate a template rule that integrates a call to the Watson Machine Learning scoring service Download and read this document for: Individual introductions to ODM for z/OS and Machine learning Discussions on the benefits of using the two technologies together Information on integrating if you have not yet updated to ODM for z/OS 8.10.1 For information about the machine learning integration in ODM for z/OS 8.10.1 see IBM Watson Machine Learning for z/OS integration topic in the ODM for z/OS 8.10.x Knowledge Center

Systems Of Insight Overview

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Author : Hector H. Diaz Lopez
language : en
Publisher: IBM Redbooks
Release Date : 2015-11-17

Systems Of Insight Overview written by Hector H. Diaz Lopez and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-17 with Computers categories.

Decision making is a critical function in any enterprise. The decision-making process that is enhanced by analytics can be described as consuming and collecting data, detecting relationships and patterns, applying sophisticated analysis techniques, reporting, and automation of the follow-on action. The IT system that supports decision making is composed of the traditional "systems of record", "systems of engagement", and the "systems of insight". This IBM® Redbooks® Solution Guide introduces the concept of systems of insight based on what is detailed in the IBM Redbooks publication "Systems of Insight for Digital Transformation," SG24-8293, found at: http://www.redbooks.ibm.com/redpieces/abstracts/sg248293.html?Open

Using Ibm Operational Decision Manager Ims Cobol Bmp Cobol Dlibatch And Cobol Mpp

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Author : Fiona Crowther
language : en
Publisher: IBM Redbooks
Release Date : 2013-06-06

Using Ibm Operational Decision Manager Ims Cobol Bmp Cobol Dlibatch And Cobol Mpp written by Fiona Crowther and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-06 with Computers categories.

IBM® Operational Decision Manager (ODM) is an implementation of a Business Rule Management System (BRMS). It enables you to create, manage, test, and govern business rules and events. You can store these in a central repository where multiple individuals and software products can access them. IBM ODM Version 8.0 provides support for IBM® IMSTM COBOL programs. This IBM RedpaperTM publication walks you through a step-by-step approach for using IBM ODM for rules management from an IMS COBOL MPP, BMP, or DL/IBATCH program.

Wissensmanagement

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Author : Peter Pawlowsky
language : de
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-08-05

Wissensmanagement written by Peter Pawlowsky and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-05 with Business & Economics categories.

Wissensmanagement wird in Zeiten der Digitalisierung zu einem unverzichtbaren Handlungsfeld, um Wettbewerbsvorteile zu entwickeln und zu gestalten. Dieses Lehr- und Praxisbuch gibt einen Überblick zu den theoretischen Grundlagen und zur praktischen Umsetzung von Wissensmanagement und organisationalem Lernen. Im Zentrum steht das Konzept des integrativen Wissensmanagements mit den Dimensionen Mensch, Organisation und Technik. Der thematische Bogen spannt sich vom Wandel zur Wissensgesellschaft, Ansätzen neuer Unternehmensführung in Verbindung mit Digitalisierung und Entmaterialisierung über Fragen des Lernens von Organisationen, wissensorientierter Führung bis zur Wissensbewertung und konkreten Umsetzung von Wissensmanagementansätzen, -tools, -instrumenten und Implementierungsstrategien. Die Wirksamkeit von Wissensmanagement wird in einer umfangreichen empirischen Unternehmensanalyse im Hinblick auf monetäre Performance und Innovationsleistungen von Unternehmen dargestellt. Damit bietet das Buch systematische Handlungsempfehlungen, um ein zielbezogenes Wissensmanagement umzusetzen. - Mit zahlreichen Beispielen und Fallstudien - Mit Reflexionsfragen am Kapitelende - Mit ausführlichem Glossar und Links - Das Buch richtet sich an Studierende der BWL/Managementlehre, akademisch Interessierte und an Praktiker, die Wissensmanagement in Organisationen umsetzen wollen. Über den Autor: Peter Pawlowsky ist Professor für BWL – Lehrstuhl Personal und Führung – an der Technischen Universität Chemnitz, Gründungsmitglied der Gesellschaft für Wissensmanagement sowie ehem. Direktor des „Executive Masters in Knowledge Management" (TUC). Arbeitsschwerpunkte: HR-Management, Führungsforschung, Wissensmanagement, Hochleistungsmanagement, digitale Transformation.

Ibm Software Defined Infrastructure For Big Data Analytics Workloads

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Author : Dino Quintero
language : en
Publisher: IBM Redbooks
Release Date : 2015-06-29

Ibm Software Defined Infrastructure For Big Data Analytics Workloads written by Dino Quintero and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Computers categories.

This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFSTM), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offeringsm such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with its MapReduce Accelerator, can help performance and agility to run Hadoop on distributed workload managers offered by IBM. This information is for technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective cloud services and big data solutions on IBM Power SystemsTM to help uncover insights among client's data so they can optimize product development and business results.