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    White Papers - Presentation Transcript

    1. White Papers Published by Neil Raden 2005-2009 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 robust data integration 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. Actuate In progress December 2009 4. 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 5. Business Objects Business Objects Solutions Business Objects (via its acquisition of Crystal) provides (SAP) for SAP access to SAP R/3 natively; a discussion of some shortcomings of ERP systems and remedies 6. Celequest BI 2.0: Pervasive, Intelligent BI software is not adequately addressing the (IBM/Cognos) and Timely analytical needs of today’s private and public sector organizations. 7. 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 8. DATAllegro Solving the Load/Query A slightly technical piece on strategies for optimizing (Microsoft) Conundrum in Dimensional both load and query processing Design
    2. 9. Exeros (IBM) Data Relationship Discovery Integrating data manually is no longer feasible. New approaches are needed, especially those that rely on algorithms to discover the relationships between data elements 10. Expressor Data Integration: What’s Missing from today’s DI tools are two key capabilities that Next can reduce or even eliminate the slow work and redundancy – semantic rationalization and abstraction. 11. Fuzzy Logix In progress 12. Information Due December, 2009 Discussion of alternatives to classic data warehouse using Builders federation and abstraction 13. Initiate Systems The Case for Master Data How probabilistic data matching and other stochastic Services techniques can provide enterprise master data services 14. 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 Warehousing way stakeholders work with each other. 15. Metallect Application Semantics: The The promise of SOA is heightened agility powered by Starting Point for SOA reuse and dynamic assembly of business processes, a necessary element for competing in faster, more open markets. 16. Metatomix (In Progress) Business Real-life examples of semantic technology in the Applications of Semantic enterprise Technology 17. 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
    3. 18. Oracle Ambient Business next generation BI will advise and drive businesses with Intelligence embedded analytics, real-time decision tools and vastly improved capabilities for people 19. ParAccel Killing Time: Reducing The creation of time and the elimination of latency in Operational Latency decision making 20. Pentaho In Progress Getting to the bottom of the cost of migrating between BI tools 21. ProClarity Shedding Light on Shadow The existence of Shadow IT implies a failure on the part (Microsoft) IT: Is Excel Running Your of IT to provide all of the services to meet their clients’ Business? needs, and the problem is universal. 22. 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 23. SAP (in Progress) Business Intelligence Accelerator 24. SAP Analytics Manifesto A new set of principles for analytics that enables vastly smarter business processes. 25. SAP Enterprise Business A formal data warehouse methodology, comparing “Best Intelligence ROI of Breed” to single vendor offerings 26. 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 27. Spotfire NextGen Software or Informing business decisions with information and tools (SoftwareAG) Software for the NextGen? to visualize, present, manipulate and share information can no longer be constrained by existing development
    4. paradigms 28. Spotfire The Foundations of What are the real requirements for interactive, (SoftwareAG) Analytics: Visualization, collaborative, dynamic visualization tools? Interactivity and Utility 29. SPSS Decision Categorization Examination and classification of various types of decisions and the appropriate technology to manage them 30. Sybase (In Progress) Predictive A close look at the need for and implementation issues Analytics for prediction in organizations 31. 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. 32. Tableau Fast Analytics and Business Collaborative decision-making requires something Intelligence for Everyone: different that the traditional deployment of packaged BI. Best Practices for Deploying People involved in decision-making need answers to their Collaborative BI own questions, not just pre-determined ones. 33. Tableau Fast Analytics and BI for Best practices for deploying collaborative BI Everyone 34. Teradata et al Technology for Operational Multi-vendor sponsored paper on decision Management Decision Making 35. Teradata Spending Wisely on Analytics Making the Data Warehouse Investment Case to the CEO in a Challenging Economy 36. 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
    5. 37. Teradata Dynamic Mixed Workloads: As data warehouses are required to provided vastly Meeting Demands for Data greater volumes of data, with more diverse needs Warehouse Performance (queries), adoption of intelligent load managers is required 38. Teradata Questions to Ask a Data Data warehouse appliance vendors have produced some Warehouse Appliance Vendor questionable benchmarks derived from loose methodologies 39. Teradata Teradata and SAP/BW (in How the new Teradata/SAP DW development will benefit progress) clients of both companies 40. Vertica BI Is in the Details (In How columnar technology leverages the latent value in Progress) SQL databases

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