The document discusses best practices for database archiving and information lifecycle management (ILM). It describes how unchecked database growth leads to higher costs and risks. ILM involves defining policies, securing data through encryption and access control, protecting sensitive data like test data through masking, and archiving inactive data. Archiving removes inactive data from the live database to reduce costs and improve performance while still allowing querying of archived data. Database archiving solutions must support major databases, record schema changes, and provide SQL access to archived data stored on lower cost storage.
This document discusses managing data across its lifecycle from requirement to retirement. It outlines the challenges of data growth, inefficient testing practices, and poorly planned enterprise changes. It promotes an information governance approach and leveraging IBM InfoSphere solutions to optimize the data lifecycle through four phases: discover and define, develop and test, optimize and archive, consolidate and retire. Specific solutions discussed include test data management, database workload capture and replay, and archiving to reduce storage costs and risks of non-compliance. The overall message is that holistic data lifecycle management can improve application quality, accelerate delivery, reduce costs, and better manage risks.
Here are a few examples of data that may need to be masked in NoSQL and Internet commerce scenarios:
For Data in NoSQL:
- User IDs
- Personal details like name, address, phone number
- Credit card numbers
- Health records
For Internet Commerce:
- Customer names, addresses, phone numbers
- Order details like items purchased, payment details
- User accounts with personal profile details
- Session IDs or other identifiers
- IP addresses
- Cookies with personalization or tracking data
The goal would be to mask or substitute sensitive values while maintaining the overall structure and relationships in the data, so it can still be used for testing and analysis. This helps protect privacy while enabling use
The document discusses InfoSphere Optim Test Data Management and its capabilities for managing test data across the information lifecycle. It highlights risks of poor test data management like privacy issues and inefficient processes. InfoSphere Optim provides capabilities like masking sensitive data, extracting targeted test data subsets, and automating test data refresh. It also supports test data management for IMS databases on z/OS.
The document discusses IBM's Optim data management solution and how it helps organizations address challenges around data growth, application upgrades and retirement, test data management, and data privacy. It describes how Optim provides archiving, masking, and other capabilities to improve performance, control costs, simplify infrastructure, and ensure business continuity and regulatory compliance. Key benefits highlighted include controlling data growth, improving application performance, streamlining upgrades and application retirement, accelerating testing, and protecting privacy.
InfoSphere Optim Data Growth for Archiving on z/OS provides options for archiving DB2 data from operational databases to archive databases on mainframes or Hadoop clusters. The data can then be restored, deleted from the operational database, and reported on using various tools. The archiving process involves multiple steps of archiving, restoring, deleting, and in some cases FTP, depending on the selected archiving option.
Using the information server toolset to deliver end to end traceabilityIBM Sverige
The document discusses using IBM's Information Server Toolset to deliver end-to-end traceability. It describes why end-to-end traceability is important for understanding data flows and impacts of changes. It also provides examples of how Information Server tools like Information Analyzer, Information Services Director, and InfoSphere Data Architect can be used to achieve traceability across source systems, data integration processes, data warehouses and analytics applications.
The document discusses best practices for database archiving and information lifecycle management (ILM). It describes how unchecked database growth leads to higher costs and risks. ILM involves defining policies, securing data through encryption and access control, protecting sensitive data like test data through masking, and archiving inactive data. Archiving removes inactive data from the live database to reduce costs and improve performance while still allowing querying of archived data. Database archiving solutions must support major databases, record schema changes, and provide SQL access to archived data stored on lower cost storage.
This document discusses managing data across its lifecycle from requirement to retirement. It outlines the challenges of data growth, inefficient testing practices, and poorly planned enterprise changes. It promotes an information governance approach and leveraging IBM InfoSphere solutions to optimize the data lifecycle through four phases: discover and define, develop and test, optimize and archive, consolidate and retire. Specific solutions discussed include test data management, database workload capture and replay, and archiving to reduce storage costs and risks of non-compliance. The overall message is that holistic data lifecycle management can improve application quality, accelerate delivery, reduce costs, and better manage risks.
Here are a few examples of data that may need to be masked in NoSQL and Internet commerce scenarios:
For Data in NoSQL:
- User IDs
- Personal details like name, address, phone number
- Credit card numbers
- Health records
For Internet Commerce:
- Customer names, addresses, phone numbers
- Order details like items purchased, payment details
- User accounts with personal profile details
- Session IDs or other identifiers
- IP addresses
- Cookies with personalization or tracking data
The goal would be to mask or substitute sensitive values while maintaining the overall structure and relationships in the data, so it can still be used for testing and analysis. This helps protect privacy while enabling use
The document discusses InfoSphere Optim Test Data Management and its capabilities for managing test data across the information lifecycle. It highlights risks of poor test data management like privacy issues and inefficient processes. InfoSphere Optim provides capabilities like masking sensitive data, extracting targeted test data subsets, and automating test data refresh. It also supports test data management for IMS databases on z/OS.
The document discusses IBM's Optim data management solution and how it helps organizations address challenges around data growth, application upgrades and retirement, test data management, and data privacy. It describes how Optim provides archiving, masking, and other capabilities to improve performance, control costs, simplify infrastructure, and ensure business continuity and regulatory compliance. Key benefits highlighted include controlling data growth, improving application performance, streamlining upgrades and application retirement, accelerating testing, and protecting privacy.
InfoSphere Optim Data Growth for Archiving on z/OS provides options for archiving DB2 data from operational databases to archive databases on mainframes or Hadoop clusters. The data can then be restored, deleted from the operational database, and reported on using various tools. The archiving process involves multiple steps of archiving, restoring, deleting, and in some cases FTP, depending on the selected archiving option.
Using the information server toolset to deliver end to end traceabilityIBM Sverige
The document discusses using IBM's Information Server Toolset to deliver end-to-end traceability. It describes why end-to-end traceability is important for understanding data flows and impacts of changes. It also provides examples of how Information Server tools like Information Analyzer, Information Services Director, and InfoSphere Data Architect can be used to achieve traceability across source systems, data integration processes, data warehouses and analytics applications.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
The Business Case for Hosting JD Edwards in the CloudNERUG
This presentation will cover in detail the business case for hosting JD Edwards in the cloud. Hear from industry expert, John Bassett, CTO at GSI, Inc. During the presentation, John will address the following topics, comparing hosting to a more traditional in-house approach:
- Total cost of ownership (TCO)
- IT staffing and support costs
- Licensing costs
- Cost Predictability
- Security and compliance
- Scalability, performance and reliability
- Business continuity and redundancy
- System deployment
- System management, ongoing maintenance and upgrades
- Market adaptability, agility and innovation
Case Studies in Improving Application Performance With Solix Database Archivi...LindaWatson19
This paper briefly examines the reasons why organization should archive data and details how one solution, Solix Technologies’ Enterprise Data Management Suite (EDMS), has helped customers improve application performance while maintaining information access.
Sabre is a technology solutions provider to the global travel and tourism industry, encompassing four business units: Sabre Airlines Solutions, Sabre Travel Network, Sabre Hospitality Solutions and Travelocity. Sabre provides software to travel agencies, corporations, travelers, airlines, hotels, rental car, rail, cruise and tour operator companies. Divisions within each of these groups also service the business or corporate travel market. Sabre grew out of American Airlines and was spun off with an IPO in 2000 and currently employs approximately 10,000 people in 60 countries. In addition to managing the business processes and reporting across the four divisions, the IT group has been tasked to provide an agile architecture to accommodate M&A opportunities in the hospitality industry. Clearly, one of the biggest opportunities for leverage of corporate information assets is travel-related “public” and “private” reference data. Critical to the launch of such a program is to answer the key question “Why after all this time do we need RDM?” This session will provide insights and best practices concerning the establishment of an enterprise RDM program in a large global enterprise by discussing topics such as:
– Establishing the business value of an enterprise RDM program (“Hello, Houston … we have a problem”)
– Overcoming the cultural & territorial obstacles by selling change as a compelling argument for RDM (“Shift Happens”)
– Futureproofing the enterprise RDM program solution, outcome & direction (“What we didn’t think about”)
Mastering Oracle® Hyperion EPM Metadata in a distributed organizationOrchestra Networks
In this case study from Kscope14, hear how The United Technologies Corporation, a globally distributed, Fortune 500 company manages their Oracle Hyperion EPM metadata using Orchestra Networks’ cost-effective, DRM alternative: MDM for Oracle Hyperion EPM. The session covered practical issues: data exchange with HFM, governance, workflow. Also discussed, how other alternatives compare and their key differences.
The document provides an overview of business intelligence, data warehousing, and ETL concepts. It defines business intelligence as using technologies to analyze data and support decision making. A data warehouse stores historical data from transaction systems and supports querying and analysis for insights. ETL is the process of extracting data from sources, transforming it, and loading it into the data warehouse for analysis. The document discusses components of BI systems like the data warehouse, data marts, and dimensional modeling and provides examples of how these concepts work together.
The document discusses the journey organizations take to establish trusted data through effective data management. It outlines common barriers to coordinating data initiatives and how the gap between IT and business needs can be closed. A maturity model is presented showing how organizations evolve their data practices from being IT-driven to enabling personalized customer experiences. The key is establishing repeatable processes through a single data management platform that provides data quality, integration and master data management capabilities.
Jd edwards upgrade roundtable at innovate15 empire merchants case studyNERUG
- Empire Merchants upgraded their JD Edwards system from version Xe to 9.1 over a 13 month period between 2012-2014. They crammed 6 months of implementation work into the project timeline.
- Thorough testing, training, executive support, and involvement of business users were key to the success of the upgrade. Over 1600 test scripts were developed and multiple "mock go-lives" were conducted.
- The go-live occurred in July 2014 during Empire's regular monthly shutdown period. While some performance issues occurred, the upgraded system has provided Empire with new capabilities and extended support.
Endasol Streamlining Bi Implementation, Euci March 2008guest08f07
The document discusses considerations for streamlining business intelligence (BI) implementations. It covers components of BI systems including data warehouses, data integration layers, and reporting and analytics tools. It recommends establishing data governance and realistic expectations upfront. The document also discusses using packaged BI solutions or starter models to expedite implementations. It proposes using a hybrid agile/waterfall approach to balance iterative delivery with overall planning. Finally, it provides tips for the interactive reporting layer and intelligence layer, including key performance indicators (KPIs).
Teradata, Oracle, Sybase (SAP), and IBM lead the enterprise data warehousing market according to Forrester's evaluation. Teradata provides the most scalable and flexible EDW solution. Oracle has built its Exadata Database Machine into a formidable product family. Sybase continues to enhance its massively parallel columnar technology for real-time analytics. IBM has ramped up its focus on petabyte-scale Hadoop integration. EMC Greenplum, Netezza, Microsoft, and Vertica Systems also demonstrate strengths in the competitive market.
This was a presentation about Data Warehousing, where it's going - covers operational Data Vault. I gave this presentation in 2009 at an Array Conference in the Netherlands.
IF you want to use these slides, then please let me know, and add: "(C) Dan Linstedt, all rights reserved, http://LearnDataVault.com"
The document provides an overview of master data management (MDM) solutions and tools. It defines MDM solutions as software that supports linking and synchronizing master data across systems, creates a central system of record, and enables a single view of data for stakeholders. The document compares features of MDM tools from IBM, Informatica, Siperian and Oracle, such as data modeling capabilities, integration support, and scalability. It also outlines guidance for implementing MDM solutions, including starting with quick wins, defining data governance strategies, and engaging business stakeholders.
The document discusses six governance processes for data and business intelligence: data lifecycle, data models, data quality, data security, data warehousing, and metadata. For each process, it provides an overview of why governance is important in that area, and what the governance process will do to manage issues and ensure requirements are met. The governance processes aim to balance various factors, control changes, and provide oversight and accountability for data management.
ASUG 10_27_2016 Entegris PLM-MDM Business Process Optimization 3keefe008
This document discusses Entegris' project to optimize their PLM-MDM business processes with LeverX. The project goals are to reduce time to market, enable a sustainable and extendable model, and increase data quality. The project will occur in phases from 2016-2017, starting with quick wins to optimize material master extensions and changes (Release 1.0, 1.5). Future phases will integrate CAD, optimize specifications/EHS, and enable future PLM design enhancements. LeverX tools like BMAX and IPS will be implemented to automate workflows and rules-based processes. The expected benefits include connecting functions, preparing for acquisitions, eliminating data re-entry, and improving the bottom line.
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
Cool Functionality and Workarounds to Make Your Life Easier - JD Edwards WorldNERUG
The JD Edwards software functions as one body but we tend to see the overall systems in parts and pieces because in IT and Support, like doctors, we specialize / troubleshoot in areas of expertise. Speaking software, you may only be licensed to only specific systems so perhaps when you go to the specialist you do not always learn what can make life easier in other systems. Can a general practitioner give you excellent advice? You bet!
Let us broaden your software knowledge for JD Edwards systems as a whole and bring together the new functionality and business savvy workarounds that make life in JD Edwards a healthy solution.
This was a presentation I gave to IRM UK conference in November 2009. It covers some interesting details around the steps you should take to build your Data Vault, and an overview as to why re-engineering creeps in to your existing silo solutions.
Akili provides data integration and management services for oil and gas companies. They leverage over 25 years of experience and experts in SAP, BI platforms, financial systems, and oil and gas data. Akili helps customers address challenges around data quality, reliability, disparate systems and gaining a single view of data. They provide predefined solutions and accelerators using industry standards from PPDM (Professional Petroleum Data Management). Akili's approach involves assessing an organization's data maturity, developing a data integration strategy, addressing governance, master data and tools to integrate data from multiple sources and systems into meaningful business information.
Future of Horizontal Services by Harrick Vin, VP & Chief Scientist, TCS. The two functions of enterprise IT -- run the business (RTB) and change the business (CTB) -- are undergoing significant changes because of automation. In this presentation, we talked about what is fueling this change, and some of the challenges in realizing automation benefits in enterprises.
Comparing Cost of Dell EMC Centera and HPE/SUSE/iTernity iCASIT Brand Pulse
This document compares the total cost of ownership of two archival storage solutions over five years: Dell EMC Centera and HPE/SUSE/iTernity iCAS. It finds that the HPE solution has significantly lower costs, with hardware 47% cheaper, software 97% cheaper, and support 354% cheaper. As a result, the cumulative five-year cost is over $350,000 more for Centera, which is more than double the cost of the HPE solution. The document concludes the HPE solution better addresses the high costs of compliant archive storage.
This presentation provides a technical overview of IBM Optim and its benefits.
Three areas of focus:
Mitigate Risk: Much of the “data related” risk that an organization carries is related to keeping sensitive data private, preventing data breaches, and safely storing and retiring data that is no longer required on the online systems. Companies must comply to regulations and policies, and lack of proper data protection can lead to penalties, including damaging a company’s reputation.
Deal with Data Growth: Another challenge is dealing with the explosive data growth for many applications. Without properly managing the data volume, companies will see the impact in the performance of their system over time. This is particularly a problem when service level agreements (SLA’s) are in place that mandate set response times.
Control Costs: The costs of managing data spans across initial design of the data structure throughout all lifecycle phases - until ultimately retiring the data. IT staff is under constant pressure to deliver more for less. Some major costs for managing data include storage hardware costs, storage management costs (archiving, storing, retrieving, etc.), and costs of protecting the data per compliance regulations.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
The Business Case for Hosting JD Edwards in the CloudNERUG
This presentation will cover in detail the business case for hosting JD Edwards in the cloud. Hear from industry expert, John Bassett, CTO at GSI, Inc. During the presentation, John will address the following topics, comparing hosting to a more traditional in-house approach:
- Total cost of ownership (TCO)
- IT staffing and support costs
- Licensing costs
- Cost Predictability
- Security and compliance
- Scalability, performance and reliability
- Business continuity and redundancy
- System deployment
- System management, ongoing maintenance and upgrades
- Market adaptability, agility and innovation
Case Studies in Improving Application Performance With Solix Database Archivi...LindaWatson19
This paper briefly examines the reasons why organization should archive data and details how one solution, Solix Technologies’ Enterprise Data Management Suite (EDMS), has helped customers improve application performance while maintaining information access.
Sabre is a technology solutions provider to the global travel and tourism industry, encompassing four business units: Sabre Airlines Solutions, Sabre Travel Network, Sabre Hospitality Solutions and Travelocity. Sabre provides software to travel agencies, corporations, travelers, airlines, hotels, rental car, rail, cruise and tour operator companies. Divisions within each of these groups also service the business or corporate travel market. Sabre grew out of American Airlines and was spun off with an IPO in 2000 and currently employs approximately 10,000 people in 60 countries. In addition to managing the business processes and reporting across the four divisions, the IT group has been tasked to provide an agile architecture to accommodate M&A opportunities in the hospitality industry. Clearly, one of the biggest opportunities for leverage of corporate information assets is travel-related “public” and “private” reference data. Critical to the launch of such a program is to answer the key question “Why after all this time do we need RDM?” This session will provide insights and best practices concerning the establishment of an enterprise RDM program in a large global enterprise by discussing topics such as:
– Establishing the business value of an enterprise RDM program (“Hello, Houston … we have a problem”)
– Overcoming the cultural & territorial obstacles by selling change as a compelling argument for RDM (“Shift Happens”)
– Futureproofing the enterprise RDM program solution, outcome & direction (“What we didn’t think about”)
Mastering Oracle® Hyperion EPM Metadata in a distributed organizationOrchestra Networks
In this case study from Kscope14, hear how The United Technologies Corporation, a globally distributed, Fortune 500 company manages their Oracle Hyperion EPM metadata using Orchestra Networks’ cost-effective, DRM alternative: MDM for Oracle Hyperion EPM. The session covered practical issues: data exchange with HFM, governance, workflow. Also discussed, how other alternatives compare and their key differences.
The document provides an overview of business intelligence, data warehousing, and ETL concepts. It defines business intelligence as using technologies to analyze data and support decision making. A data warehouse stores historical data from transaction systems and supports querying and analysis for insights. ETL is the process of extracting data from sources, transforming it, and loading it into the data warehouse for analysis. The document discusses components of BI systems like the data warehouse, data marts, and dimensional modeling and provides examples of how these concepts work together.
The document discusses the journey organizations take to establish trusted data through effective data management. It outlines common barriers to coordinating data initiatives and how the gap between IT and business needs can be closed. A maturity model is presented showing how organizations evolve their data practices from being IT-driven to enabling personalized customer experiences. The key is establishing repeatable processes through a single data management platform that provides data quality, integration and master data management capabilities.
Jd edwards upgrade roundtable at innovate15 empire merchants case studyNERUG
- Empire Merchants upgraded their JD Edwards system from version Xe to 9.1 over a 13 month period between 2012-2014. They crammed 6 months of implementation work into the project timeline.
- Thorough testing, training, executive support, and involvement of business users were key to the success of the upgrade. Over 1600 test scripts were developed and multiple "mock go-lives" were conducted.
- The go-live occurred in July 2014 during Empire's regular monthly shutdown period. While some performance issues occurred, the upgraded system has provided Empire with new capabilities and extended support.
Endasol Streamlining Bi Implementation, Euci March 2008guest08f07
The document discusses considerations for streamlining business intelligence (BI) implementations. It covers components of BI systems including data warehouses, data integration layers, and reporting and analytics tools. It recommends establishing data governance and realistic expectations upfront. The document also discusses using packaged BI solutions or starter models to expedite implementations. It proposes using a hybrid agile/waterfall approach to balance iterative delivery with overall planning. Finally, it provides tips for the interactive reporting layer and intelligence layer, including key performance indicators (KPIs).
Teradata, Oracle, Sybase (SAP), and IBM lead the enterprise data warehousing market according to Forrester's evaluation. Teradata provides the most scalable and flexible EDW solution. Oracle has built its Exadata Database Machine into a formidable product family. Sybase continues to enhance its massively parallel columnar technology for real-time analytics. IBM has ramped up its focus on petabyte-scale Hadoop integration. EMC Greenplum, Netezza, Microsoft, and Vertica Systems also demonstrate strengths in the competitive market.
This was a presentation about Data Warehousing, where it's going - covers operational Data Vault. I gave this presentation in 2009 at an Array Conference in the Netherlands.
IF you want to use these slides, then please let me know, and add: "(C) Dan Linstedt, all rights reserved, http://LearnDataVault.com"
The document provides an overview of master data management (MDM) solutions and tools. It defines MDM solutions as software that supports linking and synchronizing master data across systems, creates a central system of record, and enables a single view of data for stakeholders. The document compares features of MDM tools from IBM, Informatica, Siperian and Oracle, such as data modeling capabilities, integration support, and scalability. It also outlines guidance for implementing MDM solutions, including starting with quick wins, defining data governance strategies, and engaging business stakeholders.
The document discusses six governance processes for data and business intelligence: data lifecycle, data models, data quality, data security, data warehousing, and metadata. For each process, it provides an overview of why governance is important in that area, and what the governance process will do to manage issues and ensure requirements are met. The governance processes aim to balance various factors, control changes, and provide oversight and accountability for data management.
ASUG 10_27_2016 Entegris PLM-MDM Business Process Optimization 3keefe008
This document discusses Entegris' project to optimize their PLM-MDM business processes with LeverX. The project goals are to reduce time to market, enable a sustainable and extendable model, and increase data quality. The project will occur in phases from 2016-2017, starting with quick wins to optimize material master extensions and changes (Release 1.0, 1.5). Future phases will integrate CAD, optimize specifications/EHS, and enable future PLM design enhancements. LeverX tools like BMAX and IPS will be implemented to automate workflows and rules-based processes. The expected benefits include connecting functions, preparing for acquisitions, eliminating data re-entry, and improving the bottom line.
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
Cool Functionality and Workarounds to Make Your Life Easier - JD Edwards WorldNERUG
The JD Edwards software functions as one body but we tend to see the overall systems in parts and pieces because in IT and Support, like doctors, we specialize / troubleshoot in areas of expertise. Speaking software, you may only be licensed to only specific systems so perhaps when you go to the specialist you do not always learn what can make life easier in other systems. Can a general practitioner give you excellent advice? You bet!
Let us broaden your software knowledge for JD Edwards systems as a whole and bring together the new functionality and business savvy workarounds that make life in JD Edwards a healthy solution.
This was a presentation I gave to IRM UK conference in November 2009. It covers some interesting details around the steps you should take to build your Data Vault, and an overview as to why re-engineering creeps in to your existing silo solutions.
Akili provides data integration and management services for oil and gas companies. They leverage over 25 years of experience and experts in SAP, BI platforms, financial systems, and oil and gas data. Akili helps customers address challenges around data quality, reliability, disparate systems and gaining a single view of data. They provide predefined solutions and accelerators using industry standards from PPDM (Professional Petroleum Data Management). Akili's approach involves assessing an organization's data maturity, developing a data integration strategy, addressing governance, master data and tools to integrate data from multiple sources and systems into meaningful business information.
Future of Horizontal Services by Harrick Vin, VP & Chief Scientist, TCS. The two functions of enterprise IT -- run the business (RTB) and change the business (CTB) -- are undergoing significant changes because of automation. In this presentation, we talked about what is fueling this change, and some of the challenges in realizing automation benefits in enterprises.
Comparing Cost of Dell EMC Centera and HPE/SUSE/iTernity iCASIT Brand Pulse
This document compares the total cost of ownership of two archival storage solutions over five years: Dell EMC Centera and HPE/SUSE/iTernity iCAS. It finds that the HPE solution has significantly lower costs, with hardware 47% cheaper, software 97% cheaper, and support 354% cheaper. As a result, the cumulative five-year cost is over $350,000 more for Centera, which is more than double the cost of the HPE solution. The document concludes the HPE solution better addresses the high costs of compliant archive storage.
This presentation provides a technical overview of IBM Optim and its benefits.
Three areas of focus:
Mitigate Risk: Much of the “data related” risk that an organization carries is related to keeping sensitive data private, preventing data breaches, and safely storing and retiring data that is no longer required on the online systems. Companies must comply to regulations and policies, and lack of proper data protection can lead to penalties, including damaging a company’s reputation.
Deal with Data Growth: Another challenge is dealing with the explosive data growth for many applications. Without properly managing the data volume, companies will see the impact in the performance of their system over time. This is particularly a problem when service level agreements (SLA’s) are in place that mandate set response times.
Control Costs: The costs of managing data spans across initial design of the data structure throughout all lifecycle phases - until ultimately retiring the data. IT staff is under constant pressure to deliver more for less. Some major costs for managing data include storage hardware costs, storage management costs (archiving, storing, retrieving, etc.), and costs of protecting the data per compliance regulations.
Electronic records management (ERM) evolved from the need to more efficiently store and retrieve organizational records. As organizations generated increasing volumes of information, traditional paper-based records storage became inefficient. ERM systems digitized records management to reduce storage and retrieval costs. Early ERM systems lacked standards and interoperability between vendors. Regulatory bodies later established guidelines to promote consistent ERM practices, especially in the public sector. Document management systems expanded to incorporate electronic records management features to better serve organizations' information governance needs.
The document discusses practical considerations for solution architects implementing SOA. It describes the target audience as solution architects who design integrations of existing and new components to meet business needs. It emphasizes the need for a "practical SOA" approach that is simple to understand and apply. The key is designing solutions with loose coupling between the data layer and technology layer, using core components like service containers, brokers, and process coordinators from SOA products appropriately. Common mistakes involve misusing brokers or having a single centralized broker instead of a decentralized architecture. An example data design is provided.
This document discusses route profitability systems and challenges in airline cost accounting. It outlines a cost hierarchy including direct, indirect, fixed and variable costs. It also discusses system dependencies and different models for route profitability analysis from traditional to advanced. The advanced model allows for multi-level profit analysis for strategic, operational and managerial decisions. It emphasizes the need for a system that reconciles to financial reports in real-time and supports activity-based costing and planning/budgeting.
This is an introductory lecture to Software Architecture Design Decisions, part of the Advanced Software Engineering course, at the University of L'Aquila, Italy (www.di.univaq.it/muccini/SE+/2012)
The document provides an overview of enterprise content management (ECM) systems and the Documentum ECM platform, describing how content is stored and managed in the Documentum repository using objects, properties, versions, and renditions. It also explains how users can access and work with content using the Webtop interface and application connectors. The Documentum ECM platform helps organizations manage unstructured content throughout its lifecycle by providing storage, retrieval, security, workflow, and distribution capabilities.
The document discusses content management systems (CMS) and enterprise content management (ECM). It provides definitions of key terms like CMS, ECM, and metadata. It describes the benefits of a CMS, including keeping content timely and accurate. It also outlines some challenges of implementing a CMS, such as requirements management and extensive customization.
Kiwibank: From Startup to Enterprise in 7 yearsVincent Kwon
Kiwibank was established in 2002 with a low startup budget and leveraged existing infrastructure from NZ Post. It initially used IBM p-Series and x-Series systems running Microsoft applications and SQL databases. Over 7 years it grew strongly through acquisitions and developing its brand, becoming successful with many customers and products. It continues upgrading its infrastructure and adopting new technologies to support further growth as an enterprise.
E-Business Suite 1 _ Peter Kennewell _ EBS Growth powered by IBM and Oracle.pdfInSync2011
The document discusses the long-standing partnership between IBM and Oracle spanning over 20 years. It highlights key aspects of their relationship including 19,000 joint customers, dedicated IBM resources that support Oracle technologies, and IBM being Oracle's #1 systems integrator partner. The document also provides performance comparisons showing IBM Power Systems outperforming competitors on various Oracle workloads and benchmarks.
This document discusses SAP solutions running on IBM Power Systems and IBM i. It provides an overview of IBM Power7 technology and how it improves performance, scalability, and efficiency for SAP workloads compared to previous Power6 systems. It also describes IBM i Solution Editions for the Power 720 and Power 740 Express models, which include optimized pricing and services to simplify deploying SAP on IBM i.
Utility AP - Best Practice, out of the box with Maximo Asset ManagementVincent Kwon
This document discusses best practices for optimizing systems investments and realizing additional business benefits from asset management solutions. It provides examples of best practices like role-based user interfaces, process automation, and condition-based maintenance that deliver measurable benefits such as increased productivity, cost savings, and improved asset utilization. The document advocates selecting innovative asset management systems that provide highly configurable processes, minimal customization needs, and accessibility of best practices out of the box.
Innovation and Change At the Speed of Your BusinessExecutive SummitVilla d´EsteIoRobot
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IBM Optim - Unlocking the Business Value of Information for Competitive Advantage
1. Information On Demand
featuring IBM® Optim™
Unlocking the Business
g
Value of Information for
Competitive Advantage
IBM Insight Forum 09 Make change work for you
®
2. Data Management Yields Stronger Business Outcomes
Optimize P f
O ti i Performance
Improve application performance by segregating historical transaction
records to a safe, secure archive
Achieve S i L
A hi Service Level A
l Agreements (SLA ) consistently
t (SLAs) i t tl
Accelerate delivery of revenue-generating applications
Mitigate Risk
Manage and access archived data; enable prompt, accurate responses to
audit or e-discovery requests
dit di t
Protect data privacy and safeguard shareholder loyalty
Control Costs
Reduce infrastructure costs; enable cheaper tiered storage
; p g
Minimize cost of compliance; reduce opportunity for fines & penalties
Isolate application errors early in the lifecycle, where they are cheapest to
fix
IBM Insight Forum 09 Make change work for you
®
3. IBM Optim™ Solutions
Optim Data Growth Solution (Archiving)
– Improve performance
– Control data growth, save storage
– Support retention compliance
– Enable application retirement
– Streamline upgrades
Optim Test Data Management Solution
– Create targeted, right sized test environments
– Improve application quality
– Speed iterative testing processes
Optim Data Privacy Solution
– Mask confidential data
– Comply with privacy policies
IBM Insight Forum 09 Make change work for you
®
4. IBM O ti ™: Th M k t Leader!
Optim The Market L d !
“ [Optim] customers spoke highly of
the reliability and high performance of
y g p
its archiving solution, which sets it
apart from other vendors in this
space.
space
IBM Optim
46% -- Forrester Research
IBM
HP/Outer Bay
Applimation
Others
Gartner predicts 46% CAGR
Sources: Gartner, “Archiving Software Market to Experience Strong Growth Through 2010,” 2006; Forrester Research, “Database
Archiving Remains An Important Part Of Enterprise DBMS Strategy,” 2007
IBM Insight Forum 09 Make change work for you
®
5. Enterprise Data Management (EDM)
Four Areas of Impact within Your Organization
Business Value
Information Governance
Simplification of Infrastructure
Business Continuity
IBM Insight Forum 09 Make change work for you
®
6. EDM Solution Requirements – The Four Pillars
1 Enterprise Architecture
2 Complete Business Object
3 Extract, Store & Restore
4 Universal Access
U i lA
IBM Insight Forum 09 Make change work for you
®
7. 1 Enterprise Architecture
Non Production Environments Production Environments
Subset & Mask Archive
wards
wards
eSoft
eSoft
/ISV
/ISV
ocs
ocs
Custom
om
cle
cle
bel
bel
AP
SAP
Custo
Amdo
Amdo
Orac
Orac
People
Sieb
People
JDEdw
Sieb
JDEdw
OEM/
OEM/
SA
Data Growth, Data Privacy, Test Data Management, Application Upgrades, Application Retirement
Optim ™
p
Oracle SQL Server Sybase Informix DB2 LUW XML IMS VSAM Adabas DB2 z/OS Teradata
Windows XP/2000 Solaris HP/UX Linux AIX OS/390 Z/OS i-Series
NAS SAN ATA CAS Optical Tape
Single, scalable, Enterprise Data Management Solution
IBM Insight Forum 09 Make change work for you
®
8. 2 Complete Business Object
Represents application data record – payment, invoice, customer
– Referentially-intact
Referentially intact subset of data across related tables and applications; includes metadata
Provides “historical reference snapshot” of business activity
Federated extract support across enterprise data stores
IBM Insight Forum 09 Make change work for you
®
9. 3 Extract, Store and Restore
Extract: Identify and extract business objects across multiple related
applications, databases and platforms
Store: Store immutable business objects independent of infrastructure –
any hardware device or p
y platform
Restore: Migrate or restore business objects seamlessly from any
g j y y
database, application or version to any other database, application or
version. Choose precisely which items to restore – a single transaction
record, a year’s worth of data, or any other range or parameter you specify.
IBM Insight Forum 09 Make change work for you
®
10. 3 Extract,
Extract Store and Restore
Federated Extract
Complete Business
Object Captures End to
End Business Process
EBiz Financials / Custom Inventory Siebel / Oracle
Oracle Management / DB2
IBM Insight Forum 09 Make change work for you
®
11. 3 Extract,
Extract Store and Restore
Store in Any Environment
Current Active Online Offline
Data Historical Archive Archive
1-2
1 2 years 3-4
3 4 years 5-6 years
6 7+ years
Non DBMS Offline
Retention Platform Retention Platform
Production Archive
Archive Reporting
Database
Database Restore
ATA File Server
EMC Centera
CD
Tape
IBM RS550 Optical
HDS
Compressed Compressed Compressed
Archives Archives Archives
IBM Insight Forum 09 Make change work for you
®
12. 3 Extract, Store and Restore
Restore to Any Environment
Legacy HRIS on DB2/z
Archives
Archive
Legacy Reference Data
Historical
Application Data Data
Optim
Reporting
Data
ERP HCM App
Universal Access to Data
on DB2 LUW
Replacement
Application Data ODBC / JDBC XML Report Writer
IBM Insight Forum 09 Make change work for you
®
13. 4 Universal Access
Native application access
ERP Applications
– Familiar screens and processes
p
Application independent access
– Industry standard methods: SQL,
Additional Options
ODBC/JDBC, XML
ODBC / JDBC
XML
– Portals
SQL
– Report writers: Crystal Reports,
Cognos, Business Objects,
Excel
Discoverer, Actuate
,
Access
– Desktop formats: Excel, CSV, MS
Access
– Database formats
Optim
Access Any Record Anytime Anywhere!
Record, Anytime,
IBM Insight Forum 09 Make change work for you
®
14. EDM Solves Enterprise Challenges
Data Growth
Test Data Management
Data Privacy
IBM Insight Forum 09 Make change work for you
®
15. Enterprise Challenge: Data Growth
Optim™ Data Growth Solution: Archiving
Production Archives
Archive Reference
Data
ata Historical
Data
D t
Retrieved
Historical
Retrieve Reporting
Current Data
Optim
Universal Access to Application Data
Application Application ODBC / JDBC
A li ti XML Report Writer
Complete Business Object provides historical reference snapshot of business activity
Storage device independence enables ILM
Immutable file format enables data retention compliance
IBM Insight Forum 09 Make change work for you
®
16. Enterprise Challenge: Application Upgrades
Optim Streamlines Application Upgrades
Older Version Upgraded Version
U d dV i
Upgrade Project
Application
Data Archive Current Data Archive
Application Application Archives
A hi
Archives
Universal Access to Application Data
Application ODBC / JDBC XML Report Writer
IBM Insight Forum 09 Make change work for you
®
17. Enterprise C a e ge Application Retirement
e p se Challenge: pp ca o e e e
Optim Supports Application Retirement Strategies
Obsolete Application
pp
Archives
A hi
Inactive Archive
Reference Data
R f D t
Application Data Historical
Data
Current Data Optim
O ti
Reporting
Data
Query/Reporting Universal Access to Data
Environment
Reporting Data
ODBC / JDBC XML Report Writer
IBM Insight Forum 09 Make change work for you
®
18. Enterprise Challenge: Test Data Management
Optim Test Data Management Solution
Extract
Extract Files
Production or
Production Clone
Optim Load
Insert / Update
p
Compare
Create t
C t targeted, “right-sized” subsets f t and more
t d “ i ht i d” b t faster d
efficiently than cloning
QA
Easily refresh, reset and maintain test environments
Compare data to p p
p pinpoint and resolve application
pp
Dev
defects faster
Accelerate release schedule
Test
IBM Insight Forum 09 Make change work for you
®
19. Enterprise Challenge: Data Privacy
Optim Data Privacy Solution
A comprehensive set of data masking techniques to transform or de-identify data, including:
String literal values Arithmetic expressions Lookup values
Character substrings
Ch b i Concatenated expressions
C d i Intelligence
I lli
Random or sequential numbers Date aging
Example 1 Example 2
p
Personal Info Table
PersNbr FirstName LastName
Patient Information 08054
10000 Alice
Jeanne Bennett
Renoir
Patient No. 112233
123456 SSN 123-45-6789
333-22-4444 19101
10001 Carl
Claude Davis
Monet
Name 10002
27645 Pablo
Elliot Picasso
Flynn
Amanda Winters
Erica Schafer
Address 40 Bayberry Drive
12 Murray Court
City Elgin State IL Zip 60123
Referential integrity is maintained with key
Austin TX 78704
propagation
Event Table
Data is masked with contextually correct
data to preserve integrity of test data PersNbr FstNEvtOwn LstNEvtOwn
10002
27645 Pablo
Elliot Picasso
Flynn
10002
27645 Pablo
Elliot Picasso
Flynn
IBM Insight Forum 09 Make change work for you
®
20. Our Enterprise Clients include…
City of Boston
Puerto Rico
Federal Affairs
Administration
IBM Insight Forum 09 Make change work for you
®
21. Optim™ D li
O ti ™ Delivers B i
Business V l
Value
“ Our backup times are 20% faster…
MidAmerican Energy
“ Optim has already yielded the returns we
were looking for, and we have just touched
the tip of the iceberg… Discovery –
“ We can easily comply with data
privacy regulations without incurring
additional costs… RCI Banque
Saving up to $720k/year in storage deferrals
“ It has been a very positive experience
working with [IBM] to maximize our
ki ih i i
performance and lower our TCO… AEP
“ The bottom line is that Optim's archiving
capabilities will help us exceed our
SLAs… Chiquita
Archived 1 billion rows of data
IBM Insight Forum 09 Make change work for you
®
22. IBM Optim Benefits Summary
Archiving controls data growth
− Improve application performance, meet SLAs
− Control t
C t l storage costst
− Reduce maintenance burden
− Streamline upgrades, safely retire legacy
applications
− Enable prompt accurate response to audit &
prompt,
discovery requests
Test data management speeds delivery of
mission-critical functions
− Speed iterative testing cycles while improving
quality
− Accelerate revenue generation
Data masking capabilities protect privacy
− De-identify confidential information
De identify
− Create a safe sandbox for testing
− Support compliance initiatives
IBM Insight Forum 09 Make change work for you
®
23. Questions?
Ben Davis
Senior Consultant- Optim solutions
benjdav@au1.ibm.com
j @
http://www.optimsolution.com
IBM Insight Forum 09 Make change work for you
®