| Title | File Type |
Achieving Transparency in the Emergency Economic Stabilization Act and Troubled Assets Relief Program
This white paper describes how an enterprise data warehouse can help policy makers and even recipients of government funds have a clear picture of whether or not TARP funds are having the intended effects in the U.S. economy and whether or not the money is being used for the intended purposes.
| PDF |
Business Intelligence Solutions for SAP
This report will help you understand the inherent challenges and available solutions for BI. It discusses common-use cases where SAP and non-SAP products are applied to successful BI solutions.
| PDF |
Data Mart Consolidation and Business Intelligence Standardization: Getting the Most Value Out of Information
The most-effective way to gain greater business value (delivering consistent, integrated data) is the consolidation of data marts, operational data stores, and other information sources. Doing so not only provides cross-functional data to your users, but also creates a 360-degree view of customers, products and services.
| PDF |
Data Warehouse Benchmarks: How to Make an Informed Decision, Minimize Risk, and Measure More Than Performance
Sid Adelman, an independent consultant, provides a fair, balanced view of how to properly conduct a benchmark and what a prospective customer should expect from their benchmarking efforts. This paper shows how one customer successfully conducted a benchmark.
| PDF |
Enterprise Data Warehouse Roadmap: A state-of-the-art method
This white paper describes a method of visual modeling to support understanding and planning of the Enterprise Data Warehouse.
| PDF |
Measuring Data Warehouse Return on Investment
Management wants to know the business value of the data warehouse, measured in quantitative terms, with the metrics in the form of Return on Investment (ROI). ROI refers to a few differnet ways of calculating the value of an investment which can be calculated by payback period (break-even analysis), net present value, or rate of return (yield).
| PDF |
Securing the Homeland: Through Information Integration, Analysis and Sharing
This white paper describes two architectural alternatives for the national IT infrastructure, namely distributed database and enterprise data warehousing.
| PDF |
Teradata Database's Ease of Management
The real cost of the data warehouse is not in the cost of acquiring the software (operating system and DBMS), but in application development and overall management effort. This paper shows you the savings that accrue when constructing your data warehouse using a Teradata Database.
| PDF |
Teradata Enterprise Data Warehouse Roadmaps and Logical Data Models
To learn how the Teradata EDWR and LDM combination provides value by ensuring a business-driven perspective to data warehouse design and usage, download the pdf.
| PDF |
Teradata Solutions in the Intelligence Community
This white paper identifies the intelligence community’s overarching information management challenges and describes representative solutions achieved by commercial powerhouses. These solutions are achieved using an active data warehouse from Teradata that allows disparate data to be consolidated.
| HTML |
Teradata's Four-Phased Approach to Data Mart Consolidation
This paper analyzes the root causes for data mart proliferation. It presents a method for developing a data mart consolidation plan and illustrates the potential cost savings and revenue enhancement opportunities resulting from consolidating disparate data marts onto a single, integrated data warehouse.
| PDF |
Teradata’s Real-Time Enterprise Reference Architecture
This white paper presents a high-level description of Teradata's Real-Time Enterprise Reference Architecture.
| PDF |
Using Your OLTP Database for DSS?
A database's competence at transaction processing doesn't automatically qualify it to support growing and dynamic data warehouses. As this paper suggests, that very specialization in transaction workloads often translates to a life-sentence of data warehouse compromise.
| HTML |
When and Why to Put What Data Where
This white paper provides guidelines to understanding how and when to use data management architecture layers in an efficient, as well as an effective manner.
| HTML |
