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White Papers and Research
Building an Online Customer Experience Competency: Five Steps
Sponsor: Tealeaf Technology
Posted: May 2, 2008
While many companies believe they are delivering adequate online experiences, their customers are in pain. Why do most organizations miss the mark? Improving online customer experience requires organizations to have one view of the online customer and to utilize a common language when discussing customer experience. Tealeaf gives you insights via their new guide “Building an Online Customer Experience Competency: Five Steps”.
Providing Actionable Information: The Quest for Competitive Advantage in the Insurance Marketplace
Sponsor: EMC Insurance
Posted: May 1, 2008
Download this complimentary report by a leading insurance industry analyst at TowerGroup that demonstrates the importance of gaining quick and easy access to "actionable information" for business process improvements. Actionable information is any information your business needs to make decisions and act on them, whether it’s in claims processing, opening a new policy, or even working with partners and vendors.
Podcast: Getting the Most From Your SOA Vendors
Posted: March 6, 2008
Click Here to listen to this presentation.
ACORD Made Easy with XQuery
Sponsor: Data Direct Technologies (XQuery)
Posted: February 13, 2008
Learn how DataDirect XQuery helps organizations quickly and cost-effectively implement ACORD-based standards and maintain compliance. A high-performance, scalable XML solution, DataDirect XQuery dramatically improves developer productivity and enterprise deployment timelines. This white paper presents numerous code examples that illustrate how to take advantage of DataDirect XQuery in your efforts to achieve and maintain compliance with ACORD standards.
Insurance 2020: Now what?
Posted: December 20, 2007
Note: Please click Here to download this White Paper.
In today’s competitive insurance industry, the challenges are many and there is much uncertainty. To survive and thrive, insurers must seek new models and strategic success that enable innovation and increase profitability.
Related Web Seminar: Insurance 2020: Now What? Exploring Initiatives for Innovation. Please click Here to register.
State of Claims Fraud Detection and Prevention
Sponsor: SAS White Paper Sponsorship
Posted: November 27, 2007
A research survey of 102 insurance professionals found that while many insurance companies have a formal fraud-fighting strategy in place, their approach to detecting and preventing claims fraud is far from optimal. The survey was designed to discover the size and scope of insurance claims fraud affecting insurance companies today, to learn what insurance companies and their agents and brokers are doing to combat fraud, and to explore the problems they're encountering in their efforts.…
Enterprise Class Hardware Tuning for Microsoft Analysis Services
Posted: November 17, 2007
This paper describes best practices for hardware optimization for multi-terabyte SQL Server 2005 data warehouse and cube. It describes hardware testing and tuning exercises conducted with large-scale Analysis Services (MS OLAP) cubes based on multi-terabyte SQL Server data warehouse. Topics include lab setup, cube processing, MDX query load testing, processor comparison, and storage optimization as they pertain to an enterprise implementation of Analysis Services. The test exercise walks through hardware tuning plan which reduced cube processing by half. It shows the significance of disk I/O, number of processors, and processor architecture on cube processing and concurrent user load testing performance.
Product Information Management: Business and Technology Trends
Posted: July 30, 2007
Product Information Management (PIM) is increasingly critical for managing the “information supply chain,” including data capture, assimilation, synchronization, and publication of information. This independent survey reveals critical insights into the needs, practices and problems faced by organizations planning or implementing PIM, and recommends a six-step approach for PIM adoption.
Securing the Converged Enterprise, Part I
Posted: June 27, 2007
Balancing the benefits of convergence with associated security risks can by tricky. While convergence eases communications and data access tasks for end users, complexities associated with supporting multiple interfaces, protocols and devices create potential vulnerabilities.
To secure converged enterprise networks, a few general recommendations should be followed:
- Follow a "defense-in-depth" approach to security, which employs multiple layers of user screening and encryption
- Centrally manage security layers to enable scalability efficiencies that deliver improved levels of security
- Integrate security components into network devices to simplify the security infrastructure
How Data Works
Posted: June 17, 2007
This white paper examines how data is structured and characteristics such as the data model depth, the data volumes and the data complexity. Using these characteristics it is possible to look at the effects on the development of reporting structures, the types of data models used in data warehouses, the design and build of interfaces (especially ETL for data warehouses), data quality and query performance. Once the effects are understood it is possible for programs and projects to reduce (but never remove) the impact of these characteristics resulting in cost savings for the business.
Managing Data as a Corporate Asset: Three Action Steps Toward Successful Data Governance
Posted: June 14, 2007
A New Business Model to Drive Business Intelligence Acceptance and Adoption
Posted: June 12, 2007
Pentaho provides a full spectrum of business intelligence (BI) capabilities including reporting, analysis, dashboards, data mining, data integration, and a BI platform that have made it the world's most popular open source BI suite. Pentaho’s professional open source model delivers flexible, standards-based BI at a far lower total cost of ownership than proprietary BI products.
Mashups: Understanding Mashup Building Platforms for Business Applications
Posted: June 12, 2007
Understanding Mashup Building Platforms for Business Applications This white paper gives a brief overview of the application mashup space and discusses the future value of mashups in business and enterprise environments. A framework illustrates what constitutes a mashup and how to evaluate different mashup products. This framework offers 17 "evaluation criteria" and a corresponding illustration that anyone looking at a mashup technology for a business or enterprise application should consider when choosing which product(s) to use.
Best Practices in Data Management
Posted: May 31, 2007
Data management is a critical component of any enterprise risk management (ERM) system. A bank's approach to data management should be holistic and unified, with a platform that is scalable, open and capable of supporting the needs of multiple risk management functions. This white paper discusses the various components required for successful data management to support the goal of a ERM environment and explores their cumulative benefits as part of a unified structure.
Data Warehouse Documentation Roadmap
Posted: May 3, 2007
All projects need documentation and many companies provide templates as part of a methodology. This document describes the templates, tools and source documents used by Data Management & Warehousing. It serves two purposes:
- For projects using other methodologies or creating their own set of documents to use as a checklist. This allows the project to ensure that the documentation covers the essential areas for describing the data warehouse.
- To demonstrate our approach to our clients by describing the templates and deliverables that are produced.
Documentation, methodologies and templates are inherently both incomplete and flexible. Projects may wish to add, change, remove or ignore any part of any document. Some may also believe that aspects of one document would sit better in another. If this is the case then users of this document and these templates are encouraged to change them to fit their needs.
Data Management & Warehousing believes that the approach or methodology for building a data warehouse should be to use a series of guides and checklists. This ensures that small teams of relatively skilled resources developing the system can cover all aspects of the project whilst being free to deal with the specific issues of their environment to deliver exceptional solutions, rather than a rigid methodology that ensures that large teams of relatively unskilled staff can meet a minimum standard.
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