Data Integration Blueprint and Modeling

Techniques for a Scalable and Sustainable Architecture

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Author: Anthony David Giordano

Publisher: Pearson Education

ISBN: 0137085281

Category: Computers

Page: 500

View: 9351

Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects--and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever. This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right. Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary. Coverage includes Implementing repeatable, efficient, and well-documented processes for integrating data Lowering costs and improving quality by eliminating unnecessary or duplicative data integrations Managing the high levels of complexity associated with integrating business and technical data Using intuitive graphical design techniques for more effective process and data integration modeling Building end-to-end data integration applications that bring together many complex data sources

Analytics Across the Enterprise

How IBM Realizes Business Value from Big Data and Analytics

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Author: Brenda L. Dietrich,Emily C. Plachy,Maureen F. Norton

Publisher: IBM Press

ISBN: 013383588X

Category: Business & Economics

Page: 224

View: 2818

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics

Is Your Company Ready for Cloud?

Choosing the Best Cloud Adoption Strategy for Your Business

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Author: Pamela K. Isom,Kerrie Holley

Publisher: IBM Press

ISBN: 0132599848

Category: Business & Economics

Page: 347

View: 2996

The first-of-its-kind guide to making optimal, sustainable cloud adoption decisions for your enterprise. * *Shows how to optimize cloud adoption by aligning business and IT requirements, pain points, strengths, and inhibitors. *Includes practical examples that clarify when cloud computing makes sense. *Shows how to reduce risk and increase ROI by incorporating cloud services into existing enterprise architecture, and identifies architectural refinements to increase the cloud's value. This is the first complete guide to cloud decision-making for senior executives in both technology and non-technology roles. IBM Global Business Services Executive IT Architect Pamela K. Isom shows how to build on and extend existing Enterprise Architecture (EA) investments to maximize the value of the cloud. Drawing on her extensive experience working with enterprise clients to deliver high-value cloud solutions, Isom presents: * *Practical business cases, vignettes, and techniques to help both consumers and providers understand when cloud investments make sense. *Litmus tests and decision trees for guiding cloud decision making. *A clear explanation of why it's so important to reflect current Enterprise Architecture in cloud decision-making, and what happens when companies don't. *Proven methods for incorporating cloud considerations into existing EAs. *Guidance on identifying and prioritizing cloud enablement candidates and building adoption roadmaps. *Potential EA refinements that help drive more value from the cloud. *Illustrative examples of cloud deployments that minimize risk and optimize ROI Includes a foreword by IBM Fellow Kerrie Holley, co-inventor of Service- Oriented Modeling and Architecture (SOMA) and the Service Integration Maturity Model (SIMM).

Performing Information Governance

A Step-by-step Guide to Making Information Governance Work

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Author: Anthony David Giordano

Publisher: IBM Press

ISBN: 0133385639

Category: Business & Economics

Page: 672

View: 5343

Make Information Governance Work : Best Practices, Step-by-Step Tasks, and Detailed Deliverables Most enterprises recognize the crucial importance of effective information governance. However, few are satisfied with the value of their efforts to date. Information governance is difficult because it is a pervasive function, touching multiple processes, systems, and stakeholders. Fortunately, there are best practices that work. Now, a leading expert in the field offers a complete, step-by-step guide to successfully governing information in your organization. Using case studies and hands-on activities, Anthony Giordano fully illuminates the “who, what, how, and when” of information governance. He explains how core governance components link with other enterprise information management disciplines, and provides workable “job descriptions” for each project participant. Giordano helps you successfully integrate key data stewardship processes as you develop large-scale applications and Master Data Management (MDM) environments. Then, once you’ve deployed an information asset, he shows how to consistently get reliable regulatory and financial information from it. Performing Information Governance will be indispensable to CIOs and Chief Data Officers…data quality, metadata, and MDM specialists…anyone responsible for making information governance work. Coverage Includes Recognizing the hidden development and operational implications of information governance—and why it needs to be integrated in the broader organization Integrating information governance activities with transactional processing, BI, MDM, and other enterprise information management functions Establishing the information governance organization: defining roles, launching projects, and integrating with ongoing operations Performing information governance in transactional projects, including those using agile methods and COTS products Bringing stronger information governance to MDM: strategy, architecture, development, and beyond Governing information throughout your BI or Big Data project lifecycle Effectively performing ongoing information governance and data stewardship operational processes Auditing and enforcing data quality management in the context of enterprise information management Maintaining and evolving metadata management for maximum business value