Databases have become key in enabling businesses to efficiently manage their data assets and to effectively use information to better understand their businesses. This document considers the question of what is needed for small and medium-sized businesses to successfully implement and maintain database applications, considering limitations of budget, time, and expertise. It considers such issues as ease of installation, ease of use, reliability, and manageability of relational database management systems (RDBMS). It also explores how Oracle has delivered such capabilities with Oracle Database 10g Standard Edition One.
Related white papers
Accelerating Enterprise Data Governance Part 1
In the first of this series of three white papers, Mike Ferguson of Intelligent Business Strategies defines what data governance is and then looks at the requirements that need to...
Data Governance for Master Data Management and Beyond
There is growing interest on behalf of both data management professionals and senior business managers to understand the motivations, mechanics, and benefits of instituting data governance within an organization. This...
Case Study: Acme International, Inc.
Acme is the official licensee of The Coca Cola Company, the NHRA, and Nickelodeon for today's hottest cartoon character - Spongebob Squarepants, and achieves their distribution goals from their offices...
Serving Up Strategic Business Intelligence With DecisionPoint Financial Performance
Trustreet Properties, Inc. is a leading provider of financial and real estate services to the restaurant franchise industry. Trustreet, like all REIT's, faced several challenges getting the right business intelligence....
The ROI of Data Governance - A Revenue Generation Perspective
"Concentrating on increasing revenue necessarily means paying attention to metrics such as return on investment (ROI). This white paper from Gwen Thomas of the Data Governance Institute provides a practical...
Building a Data Quality Scorecard for Operational Data Governance
" Operational data governance is the manifestation of the processes and protocols necessary to ensure that an acceptable level of confidence in the data effectively satisfies the organization's business needs....
MDM Components and the Maturity Model
Any effective master data management program requires a mix of technologies to achieve success. This white paper by David Loshin provides a conceptual outline of technical MDM components and examines...


