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Ibm Ilog Odm Enterprise And Data Integration
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Book Synopsis IBM ILOG ODM Enterprise and Data Integration by : Amtul Aziz
Download or read book IBM ILOG ODM Enterprise and Data Integration written by Amtul Aziz and published by IBM Redbooks. This book was released on 2011-06-10 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® ILOG® ODM Enterprise is a platform to implement and deploy corporate custom solutions for optimization-based planning and scheduling. Developing a realistic plan or schedule that provides the best possible balance between customer service and revenue goals is hard work. With ILOG ODM Enterprise, business leaders can make better decisions through what-if analysis, scenario management, and collaboration. This IBM RedpaperTM publication showcases the optimization scenario of the Supply Demand application for ILOG ODM Enterprise. This scenario highlights the product features. It includes suggested practices for using IBM Cognos® and InfoSphereTM offerings to extract data and build reports with ILOG ODM Enterprise driving the import and export of data. The target audience for this paper is IT specialists and IT architects who implement ILOG ODM Enterprise solutions and decision makers such as IT managers.
Book Synopsis Optimization and Decision Support Design Guide: Using IBM ILOG Optimization Decision Manager by : Axel Buecker
Download or read book Optimization and Decision Support Design Guide: Using IBM ILOG Optimization Decision Manager written by Axel Buecker and published by IBM Redbooks. This book was released on 2012-10-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today many organizations face challenges when developing a realistic plan or schedule that provides the best possible balance between customer service and revenue goals. Optimization technology has long been used to find the best solutions to complex planning and scheduling problems. A decision-support environment that enables the flexible exploration of all the trade-offs and sensitivities needs to provide the following capabilities: Flexibility to develop and compare realistic planning and scheduling scenarios Quality sensitivity analysis and explanations Collaborative planning and scenario sharing Decision recommendations This IBM® Redbooks® publication introduces you to the IBM ILOG® Optimization Decision Manager (ODM) Enterprise. This decision-support application provides the capabilities you need to take full advantage of optimization technology. Applications built with IBM ILOG ODM Enterprise can help users create, compare, and understand planning or scheduling scenarios. They can also adjust any of the model inputs or goals, and fully understanding the binding constraints, trade-offs, sensitivities, and business options. This book enables business analysts, architects, and administrators to design and use their own operational decision management solution.
Book Synopsis Supporting Mobile and Sensing Solutions with IBM Intelligent Pervasive Platform by : Anthony Hervé
Download or read book Supporting Mobile and Sensing Solutions with IBM Intelligent Pervasive Platform written by Anthony Hervé and published by IBM Redbooks. This book was released on 2014-07-17 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication describes the IBM Intelligent Pervasive Platform and IBM Intelligent Pervasive Platform Sensor Extender. Intelligent Pervasive Platform (IPP) enables you to create mobile applications that seamlessly deliver customized information and services to mobile users, based on their profile and location data. IPP Sensor Extender (based on IPP) supports the collection and standardization of sensing device data from sensor platforms that consist of sensing devices, packaging devices, and gateways. After standardization, the sensing device data can be forwarded to other applications that report, analyze, and display this data. IPP Sensor Extender supports the Internet of Things and machine-to-machine communication. This paper provides the following information about IPP and IPP Sensor Extender: A description of each solution The high-level architecture for each solution, including key components Details of the data models for each solution, including examples of common data representations Integration with other IBM products Use in industry solutions The paper is written for developers and others who are interested in using IPP and IPP Sensor Extender to create mobile and sensing applications.
Book Synopsis Smarter Asset Management for the Integrated Mill by : Akram Bou-Ghannam, PhD
Download or read book Smarter Asset Management for the Integrated Mill written by Akram Bou-Ghannam, PhD and published by IBM Redbooks. This book was released on 2016-03-18 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Smarter Asset Management for Integrated Mill Operations helps metals companies optimize asset performance and maintenance in the large, unified facilities known as integrated mills. The solution described in this IBM Redbooks® Solution Guide gives metal-making companies direct visibility into asset usage and operational health. It helps executives and managers at all levels make decisions that are based on accurate, up-to-date reports on the running conditions and performance of their most critical assets. It also includes predictive analytics features that can help companies get ahead of the curve in terms of plant maintenance and turnarounds. By combining sensor-based condition monitoring with advanced analytics, the solution delivers actionable, data-driven insights to aid in daily operations, shutdown and turnaround management, and regulatory compliance . It helps reduce asset downtime by ensuring maintenance is performed exactly (and only) when needed, and improves overall productivity, which increases operational equipment efficiency (OEE).
Book Synopsis Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics by : Whei-Jen Chen
Download or read book Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2015-12-03 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis IBM ILOG Visualization Integration Scenarios by : Martin Keen
Download or read book IBM ILOG Visualization Integration Scenarios written by Martin Keen and published by IBM Redbooks. This book was released on 2011-02-22 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® ILOG® Visualization products allow you to create the most advanced graphical user interfaces for line-of-business applications, help users understand their data better, and react to a changing market faster and smarter. This IBM Redbooks® publication describes two IBM Visualization products: IBM ILOG JViews Enterprise and IBM ILOG Elixir® Enterprise. It provides detailed samples and scenarios covering how these products can be integrated with other IBM software such as IBM WebSphere® REST Technology, IBM Cognos®, IBM Mashup Center, IBM WebSphere Business Monitor and Business Space, and IBM WebSphere Dashboard Framework to provide Web 2.0 and Ajax visualization solutions. This book is targeted to application interface developers and programmers who develop highly advanced graphical user interfaces using IBM ILOG Visualization products with IBM Cognos, IBM Mashup Center, IBM WebSphere Business Monitor and Business Space, and IBM WebSphere Dashboard Framework.
Book Synopsis IBM Information Governance Solutions by : Chuck Ballard
Download or read book IBM Information Governance Solutions written by Chuck Ballard and published by IBM Redbooks. This book was released on 2014-04-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing information within the enterprise has always been a vital and important task to support the day-to-day business operations and to enable analysis of that data for decision making to better manage and grow the business for improved profitability. To do all that, clearly the data must be accurate and organized so it is accessible and understandable to all who need it. That task has grown in importance as the volume of enterprise data has been growing significantly (analyst estimates of 40 - 50% growth per year are not uncommon) over the years. However, most of that data has been what we call "structured" data, which is the type that can fit neatly into rows and columns and be more easily analyzed. Now we are in the era of "big data." This significantly increases the volume of data available, but it is in a form called "unstructured" data. That is, data from sources that are not as easily organized, such as data from emails, spreadsheets, sensors, video, audio, and social media sites. There is valuable information in all that data but it calls for new processes to enable it to be analyzed. All this has brought with it a renewed and critical need to manage and organize that data with clarity of meaning, understandability, and interoperability. That is, you must be able to integrate this data when it is from within an enterprise but also importantly when it is from many different external sources. What is described here has been and is being done to varying extents. It is called "information governance." Governing this information however has proven to be challenging. But without governance, much of the data can be less useful and perhaps even used incorrectly, significantly impacting enterprise decision making. So we must also respect the needs for information security, consistency, and validity or else suffer the potential economic and legal consequences. Implementing sound governance practices needs to be an integral part of the information control in our organizations. This IBM® Redbooks® publication focuses on the building blocks of a solid governance program. It examines some familiar governance initiative scenarios, identifying how they underpin key governance initiatives, such as Master Data Management, Quality Management, Security and Privacy, and Information Lifecycle Management. IBM Information Management and Governance solutions provide a comprehensive suite to help organizations better understand and build their governance solutions. The book also identifies new and innovative approaches that are developed by IBM practice leaders that can help as you implement the foundation capabilities in your organizations.
Book Synopsis Master Data Management for SaaS Applications by : Whei-Jen Chen
Download or read book Master Data Management for SaaS Applications written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2014-10-19 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprises today understand the value of employing a master data management (MDM) solution for managing and governing mission critical information assets. chief data officers and chief information officers drive MDM initiatives with IBM® InfoSphere® Master Data Management to improve business results and operational efficiencies, which can help to lower costs and to reduce the risk of using untrusted master information in business process. Cloud computing introduces new considerations where enterprise IT architectures are extended beyond the corporate networks into the cloud. Many enterprises are now adopting turnkey business applications offered as software as a service (SaaS) solutions, such as customer relationship management (CRM), payroll processing, human resource management, and many more. However, in the context of MDM solutions, many organizations perceive risks in having these solutions deployed on the cloud. In some cases, organization are concerned with the legal restrictions of deploying solutions on the cloud, whereas in other cases organizations have policies and strategies in force that limit solution deployment on the cloud. Immaterial of what all the cases might be, industry trends point to a prediction that many "extended enterprises" will keep MDM solutions on premises and will want its integrations with SaaS applications, specifically customer and asset domains. This trend puts a key focus on an important component in the solution construct, that is, the cloud integration middleware and how it fits with hybrid cloud architectures that span on premises and cloud services. As this trend pans out, the on-premises MDM solution integration with SaaS applications will be the key pain point for the "extended enterprise." This IBM Redbooks® publication provides guidance to chief data officers, chief information officers, MDM practitioners, integration architects, and others who are interested in the integration of IBM InfoSphere Master Data Management with SaaS applications. This book lays the background on how mastering and governance needs for SaaS applications is quite similar to what on-premises business applications would need. It draws the perspective for serving the on-premises application and the SaaS application with the same MDM hub. This book describes how IBM WebSphere® Cast Iron® Cloud Integration can serve as the "de-facto" cloud integration middleware to integrate the on-premises InfoSphere Master Data Management systems with any SaaS application by using Saleforce.com integration as an example. This book also covers aspects of handling bulk operations with IBM InfoSphere Information Server. After reading this book, you will have a good understanding about the considerations for on-premises InfoSphere Master Data Management integration with SaaS applications in general and Salesforce.com in particular. The MDM practitioners and integration architects will understand the deployable integrations patterns and, in general, will be able to effectively contribute to delivering strategies that involve building solutions in this area. Additionally, SaaS vendors and customers looking to build or implement SaaS solutions that might require trusted master information will be able to use this compilation to ensure that the right architecture is put together and adhered to as a set of standard integrations patterns with all the core building blocks is essential for the longevity of a solution in this space.
Book Synopsis IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands by : Chuck Ballard
Download or read book IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands written by Chuck Ballard and published by IBM Redbooks. This book was released on 2013-07-10 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication is intended for business leaders and IT architects who are responsible for building and extending their data warehouse and Business Intelligence infrastructure. It provides an overview of powerful new capabilities of Information Server in the areas of big data, statistical models, data governance and data quality. The book also provides key technical details that IT professionals can use in solution planning, design, and implementation.
Book Synopsis InfoSphere DataStage for Enterprise XML Data Integration by : Chuck Ballard
Download or read book InfoSphere DataStage for Enterprise XML Data Integration written by Chuck Ballard and published by IBM Redbooks. This book was released on 2012-05-23 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: XML is one of the most common standards for the exchange of information. However, organizations find challenges in how to address the complexities of dealing with hierarchical data types, particularly as they scale to gigabytes and beyond. In this IBM® Redbooks® publication, we discuss and describe the new capabilities in IBM InfoSphere® DataStage® 8.5. These capabilities enable developers to more easily manage the design and processing requirements presented by the most challenging XML sources. Developers can use these capabilities to create powerful hierarchical transformations and to parse and compose XML data with high performance and scalability. Spanning both batch and real-time run times, these capabilities can be used to solve a broad range of business requirements. As part of the IBM InfoSphere Information Server 8.5 release, InfoSphere DataStage was enhanced with new hierarchical transformation capabilities called . XML Stage provides native XML schema support and powerful XML transformation functionality. These capabilities are based on a unique state-of-the-art technology that allows you to parse and compose any complex XML structure from and to a relational form, as well as to a separate hierarchical form. This book is targeted at an audience of systems designers and developers who focus on implementing XML integration support in their environments.
Book Synopsis Enabling Real-time Analytics on IBM z Systems Platform by : Lydia Parziale
Download or read book Enabling Real-time Analytics on IBM z Systems Platform written by Lydia Parziale and published by IBM Redbooks. This book was released on 2016-08-08 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regarding online transaction processing (OLTP) workloads, IBM® z SystemsTM platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a cost-efficient way, keeping the qualities of services in availability, security, reliability that z Systems solutions offer. Because of the changed architecture and tighter integration, IBM has shown, in a customer proof-of-concept, that a particular client was able to achieve an orders-of-magnitude improvement in performance, allowing that client's data scientist to investigate the data in a more interactive process. Open technologies, such as Predictive Model Markup Language (PMML) can help customers update single components instead of being forced to replace everything at once. As a result, you have the possibility to combine your preferred tool for model generation (such as SAS Enterprise Miner or IBM SPSS® Modeler) with a different technology for model scoring (such as Zementis, a company focused on PMML scoring). IBM SPSS Modeler is a leading data mining workbench that can apply various algorithms in data preparation, cleansing, statistics, visualization, machine learning, and predictive analytics. It has over 20 years of experience and continued development, and is integrated with z Systems. With IBM DB2 Analytics Accelerator 5.1 and SPSS Modeler 17.1, the possibility exists to do the complete predictive model creation including data transformation within DB2 Analytics Accelerator. So, instead of moving the data to a distributed environment, algorithms can be pushed to the data, using cost-efficient DB2 Accelerator for the required resource-intensive operations. This IBM Redbooks® publication explains the overall z Systems architecture, how the components can be installed and customized, how the new IBM DB2 Analytics Accelerator loader can help efficient data loading for z Systems data and external data, how in-database transformation, in-database modeling, and in-transactional real-time scoring can be used, and what other related technologies are available. This book is intended for technical specialists and architects, and data scientists who want to use the technology on the z Systems platform. Most of the technologies described in this book require IBM DB2 for z/OS®. For acceleration of the data investigation, data transformation, and data modeling process, DB2 Analytics Accelerator is required. Most value can be achieved if most of the data already resides on z Systems platforms, although adding external data (like from social sources) poses no problem at all.
Book Synopsis The Journey Continues: From Data Lake to Data-Driven Organization by : Mandy Chessell
Download or read book The Journey Continues: From Data Lake to Data-Driven Organization written by Mandy Chessell and published by IBM Redbooks. This book was released on 2018-02-19 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM RedguideTM publication looks back on the key decisions that made the data lake successful and looks forward to the future. It proposes that the metadata management and governance approaches developed for the data lake can be adopted more broadly to increase the value that an organization gets from its data. Delivering this broader vision, however, requires a new generation of data catalogs and governance tools built on open standards that are adopted by a multi-vendor ecosystem of data platforms and tools. Work is already underway to define and deliver this capability, and there are multiple ways to engage. This guide covers the reasons why this new capability is critical for modern businesses and how you can get value from it.
Book Synopsis Governing Operational Decisions in an Enterprise Scalable Way by : Jonathon Carr
Download or read book Governing Operational Decisions in an Enterprise Scalable Way written by Jonathon Carr and published by IBM Redbooks. This book was released on 2017-08-02 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication introduces operational decision governance and describes in detail how to implement it using the IBM Operational Decision Manager (ODM) platform. ODM allows businesses to automate and manage day-to-day operational decisions. It provides an integrated repository and management components for line-of-business, subject-matter experts to directly participate in the definition and governance of rules-based decision logic, organized in decision services. Governance of changes to decision services is of particular importance and value. This book describes how organizations can choose between the built-in ODM decision governance framework or a custom governance based on manually managed branches. Related topics, such as access control, permissions and user management, are covered and give a full view on decision service governance. You will find this book valuable if you are using or considering the usage of an operational decision management system in your organization, either with ODM on-premises or ODM on Cloud offerings. This book was written to help assist the following target audience in applying Decision Management technology successfully: IT Project Managers need to understand how decision governance differs from IT Governance, and how ODM straddles both worlds to facilitate agile change. IT Technical Architects need to understand how to architect ODM to sit inside both the IT and business worlds. Business Analysts need to understand the processes for changing business policies using ODM Decision Center. Business Rule Development Teams need to understand the best way to structure rule projects for scalability and maintainability.
Book Synopsis Systems of Insight Overview by : Hector H. Diaz Lopez
Download or read book Systems of Insight Overview written by Hector H. Diaz Lopez and published by IBM Redbooks. This book was released on 2015-11-17 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Data Mart Consolidation by : Chuck Ballard
Download or read book Data Mart Consolidation written by Chuck Ballard and published by . This book was released on 2005 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM Redbooks publication is primarily intended for use by IBM Clients and IBM Business Partners. The current direction in the Business Intelligence marketplace is towards data mart consolidation. Originally data marts were built for many different reasons, such as departmental or organizational control, faster query response times, easier and faster to design and build, and fast payback. However, data marts did not always provide the best solution when it came to viewing the business enterprise as a whole. They provide benefits to the department or organization to whom they belong, but typically do not give management the information they need to efficiently and effectively run the business. In many cases the data marts led to the creation of departmental or organizational data silos (non-integrated sources of data). That is, information was available to the particular department or organization, but was not integrated across all the department's or organizations. Worse yet, many data marts were built without concern for the others. This led to inconsistent definitions of the data, inconsistent collection of data, inconsistent collection times for the data, and so on. The result was an inconsistent picture of the business for management, and an inability for good business performance management. The solution is to consolidate those data silos to provide management the information they need.
Book Synopsis Implementing an InfoSphere Optim Data Growth Solution by : Whei-Jen Chen
Download or read book Implementing an InfoSphere Optim Data Growth Solution written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2011-11-09 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, organizations face tremendous challenges with data explosion and information governance. InfoSphereTM OptimTM solutions solve the data growth problem at the source by managing the enterprise application data. The Optim Data Growth solutions are consistent, scalable solutions that include comprehensive capabilities for managing enterprise application data across applications, databases, operating systems, and hardware platforms. You can align the management of your enterprise application data with your business objectives to improve application service levels, lower costs, and mitigate risk. In this IBM® Redbooks® publication, we describe the IBM InfoSphere Optim Data Growth solutions and a methodology that provides implementation guidance from requirements analysis through deployment and administration planning. We also discuss various implementation topics including system architecture design, sizing, scalability, security, performance, and automation. This book is intended to provide various systems development professionals, Data Solution Architects, Data Administrators, Modelers, Data Analysts, Data Integrators, or anyone who has to analyze or integrate data structures, a broad understanding about IBM InfoSphere Optim Data Growth solutions. By being used in conjunction with the product manuals and online help, this book provides guidance about implementing an optimal solution for managing your enterprise application data.
Book Synopsis Metadata Management with IBM InfoSphere Information Server by : Jackie Zhu
Download or read book Metadata Management with IBM InfoSphere Information Server written by Jackie Zhu and published by . This book was released on 2011 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: What do you know about your data? And how do you know what you know about your data? Information governance initiatives address corporate concerns about the quality and reliability of information in planning and decision-making processes. Metadata management refers to the tools, processes, and environment that are provided so that organizations can reliably and easily share, locate, and retrieve information from these systems. Enterprise-wide information integration projects integrate data from these systems to one location to generate required reports and analysis. During this type of implementation process, metadata management must be provided along each step to ensure that the final reports and analysis are from the right data sources, are complete, and have quality. This IBM® Redbooks® publication introduces the information governance initiative and highlights the immediate needs for metadata management. It explains how IBM InfoSphere Information Server provides a single unified platform and a collection of product modules and components so that organizations can understand, cleanse, transform, and deliver trustworthy and context-rich information. It describes a typical implementation process. It explains how InfoSphere Information Server provides the functions that are required to implement such a solution and, more importantly, to achieve metadata management. This book is for business leaders and IT architects with an overview of metadata management in information integration solution space. It also provides key technical details that IT professionals can use in a solution planning, design, and implementation process.
