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    White Papers - Presentation Transcript

    1. White Papers Published by Neil Raden 2004-2008 Client Title Description 1. Actuate Reporting Steps Up The convergence of operational and analytical reporting requirements are best met with an integrated architecture, a broad set of functionalities and robus data integration t capabilities 2. Actuate The Managed Spreadsheet How to preserve the best and most useful features of Environment spreadsheets while mitigating the risks and expense caused by unbridled Shadow IT 3. Applix The Case for Business BI drifted away from modeling tools for end-users; a (IBM/Cognos) Modeling description of modeling functions for people who do more than read reports 4. Business Objects Business Objects Solutions Business Objects (via its acquisition of Crystal) provide s (SAP) for SAP access to SAP R/3 natively; a discussion of some shortcomings of ERP systems and remedies 5. Celequest BI 2.0: Pervasive, Intelligent BI software is not adequately addressing the analytical needs of today’s private and public sector organizations. (IBM/Cognos) and Timely 6. Certive (Cloud 9 A New Approach to Data Realigning Data Warehouse Best Practices Based on Analytics) Management and Integration Technological Advances and Lessons Learned for Business Intelligence 7. Corda In Progress Concerning Operational BI 8. DATAllegro Solving the Load/Query A slightly technical piece on strategies for optimizing both (Microsoft) Conundrum in Dimensional load and query processing Design
    2. 9. Exeros Data Relationship Discovery Integrating data manually is no longer feasible. New approaches are needed, especially those that rely on algorithms to discover t relationships between data he elements 10. Expressor Data Integration: What’s Next Missing from today’s DI tools are two key capabilities that can reduce or even eliminate the slow work and redundancy – semantic rationalization and abstraction. 11. Initiate Systems The case for Master Data How probabilistic data matching and other stochastic Services techniques can provide enterprise master data services 12. Kalido Back to Business: How A model-driven approach to the entire process of data Business Modeling integration management, and information delivery Rationalizes Data including metadata, changes everything, especially the way Warehousing stakeholders work with each other. 13. Metallect Application Semantics: The The promise of SOA is heightened agility powered by reuse Starting Point for SOA and dynamic assembly of business processes, a necessary element for competing in faster, more open markets. 14. Metatomix (In Progress) Business Real-life examples of semantic technology in the Applications of Semantic enterprise Technology 15. Metatomix The Emerging Role of A primer on semantic technology; how it provides the Semantic Technology in the ability to infer the meaning of data and determine its Enterprise utility within context 16. Oracle Ambient Business Intelligence next generation BI will advise and drive businesses with embedded analytics, real-time decision tools and vastly improved capabilities for peopl e 17. ParAccel In Progress Infrastructure implications of Operational BI
    3. 18. Pentaho In Progress Open source BI 19. ProClarity Shedding Light on Shado IT: w The existence of Shadow IT implies a failure on the part of (Microsoft) Is Excel Running Your IT to provide all of the services to meet their clients’ Business? needs, and the problem is universal. 20. Salesforce.com Accelerating Analytics An on-demand, or software-as-a-service (SaaS) platform Success with On Demand allows IT organizations to maximize innovation and output with their BI opportunities, while lowering downside IT burdens, in four key aspects 21. SAP (in Progress) Business Intelligence Accelerator 22. SAP Analytics Manifesto A new set of principles for analytics that enables vastly smarter business processes. 23. SAP Enterprise Business A formal data warehouse methodology, comparing “Best of Intelligence ROI Breed” to single vendor offerings 24. Silver Creek Semantic Integration: The growing externalization of business processes Systems Tapping the Full Potential of requires the discovery of meaning in data Enterprise Data 25. Spotfire (Tibco) NextGen Software or Informing business decisions with information and tools to Software for the NextGen? visualize, present, manipulate and share information can no longer be constrained by existing development paradigms 26. Spotfire (Tibco) The Foundations of Analytics: What are the real requirements for interactive, Visualization, Interactivity collaborative, dynamic visualization tools? and Utility 27. SPSS (In Progress) Decision Examination and classificationof various types of Categorization decisions and the appropriate technology to manage them
    4. 28. Sybase (In Progress) Data The Factory: How data warehousing and BI in th data e Aggregators aggregators business duffers from “best practices” in the enterprise. 29. Sybase Brains Over Brawn: Six Steps Six ideas for enabling your organization to leverage to Smarter BI information more strategically in today’s technology and business environments. 30. Tableau Fast Analytics and Business Collaborative decision-making re quires something Intelligence for Everyone: different that the traditional deployment of packaged BI. Best Practices for Deploying People involved in decision-making ne answers to their ed Collaborative BI own questions, not just pre-determined ones. 31. Teradata (in progress) What Every CEO Translation between two dialects: How a CIO should Needs to Know About Data communicate the need for data warehousing to a CEO Warehousing 32. Teradata Exploring the Business Evaluating the opportunities for real-time and near real- Imperative of Real Time time data in data warehouses and the implications Analytics 33. Teradata Dynamic Mixed Workloads: As data warehouses are required to provided vastly greater Meeting Demands for Data volumes of data, with more diverse needs (queries), Warehouse Performance adoption of intelligent load managers is required 34. Teradata Questions to Ask a Data Data warehouse appliance vendors have produced some Warehouse Appliance Vendor questionable benchmarks derived from loose methodologies

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