Red Brick DecisionScape(SM) Methodology Offers Repeatable, Dependable Solution
For Data Warehousing Implementation and Iteration
LOS GATOS, Calif., Oct. 21 /PRNewswire/ -- Red Brick(R) Systems, Inc.
(Nasdaq: REDB) today announced the immediate availability of the Red Brick
DecisionScape(SM) Methodology, a strategic, modular approach to the design,
implementation and iteration of successful decision support systems, including
data warehousing, data marts and OLAP. The DecisionScape Methodology conveys
Red Brick's strategic intelligence learned in its more than 300 data
warehousing implementations around the world, and provides a rapid, measurable
and repeatable process to ensure immediate benefits and long-term operability.
The DecisionScape Methodology, available through Red Brick's Professional
Services Organization, is a procedural compilation of strategies and tasks
designed to help Red Brick customers assess critical business demands and gain
future competitive advantage. The Methodology offers a modular and customized
approach to fit flexible and evolving environments, and is designed to address
market, IT infrastructure and critical business measurements.
The DecisionScape Methodology is another industry-leading component of
Red Brick DecisionScape, a comprehensive and integrated environment of
products, services, methodology and partnerships designed to provide
successful decision support solutions. Combined with Red Brick's products
created specifically for high-end data warehousing, the Methodology helps
customers and partners quickly and efficiently deploy large and complex data
warehousing projects with a minimum of resources, hardware and time.
"Today, decision support projects are not measured by their ability to
deliver consistent, integrated information, but by their ability to radically
improve data analysis," said Andrew Priest, vice president of Solutions and
Services at Red Brick. "Our ten years of historically providing successful
business solutions that have given customers an edge in their market were
based on repeatable, dependable strategies and techniques. The Methodology
has formalized this intelligence into a process, which can now be applied
through individual components or as a whole, depending on a customer's needs.
The ultimate goal of the Methodology is to help customers quickly address
shorter product and customer lifecycles, organizational shifts and highly
volatile markets."
Red Brick DecisionScape Methodology Components
The DecisionScape Methodology consists of five phases of a rapid
development approach to address the lifecycle of a decision support system
(DSS). The approach is designed to be iterative and modular which helps
customers customize their projects, repeat successful implementations and
apply knowledge gained through DSS back into their organizational processes.
Solution Planning Phase
All DSS projects require a strategy, a solution architecture and the
identification of informational requirements. The tasks and activities within
this phase deliver a comprehensive strategy for the mission and vision of the
data warehouse, which would include risk and business assessments, overall
business reengineering recommendations and a requirements analysis. The
result is a Solutions Requirements Document that includes long-term strategy,
products, work and test plans.
Solution Design Phase
A system design is created using the requirements specified in the
Solution Planning Phase. Logical and physical design elements are defined,
including data mapping, database design, indexing strategies, file
partitioning and backup and recovery plans.
Solution Infrastructure Support Phase
This phase coordinates the evaluation, selection and installation of Red
Brick and partner products for hardware, front-end and back-end tools,
networking and applications for the test, development and production DSS
environments.
Solution Implementation Phase
Once the DSS design and infrastructure are determined, implementation of
the data warehouse or data mart occurs. Indexes; partitioning; data mining
and query tool implementation; and data acquisition, transformation and
loading are all implemented and tested. Performance tuning is applied at this
stage. The final element of this phase is the demonstration and acceptance of
the solution.
Solution Maintenance Phase
This phase addresses the evolution and iteration of the DSS project. More
performance tuning occurs to address business needs, additional requirements
are assessed and implemented, and a long-term evolution plan is prepared.
This phase is ongoing for the life of the DSS and can result in a repeatable
process for additional implementations within the organization.
Availability
The Red Brick DecisionScape Methodology is available immediately through
the services of the Red Brick Professional Services Organization.
More information may be obtained through Red Brick's direct sales offices
in the United States and Canada, or by calling 800-777-2585 in the
United States.
About Red Brick
Red Brick Systems, Inc. is a premier provider of data warehousing
solutions. Through Red Brick DecisionScape, a comprehensive, integrated
environment of products, services, methodology and partnerships, Red Brick
helps its customers and partners improve the quality, speed and accuracy of
their business decision-making. Red Brick's leading expertise and innovative,
server-integrated technology deliver scalable decision support solutions for
data warehousing, data marts, OLAP and data mining.
Information about Red Brick is available on the World Wide Web at
http://www.redbrick.com. News releases and corporate background information may also
be retrieved by fax. For an index of available materials, please call
800-758-5804, and enter PIN #105756.
NOTE: Red Brick and the Red Brick logo are registered trademarks and
Red Brick DecisionScape is a service mark and a trademark of Red Brick
Systems, Inc. All other trademarks and registered trademarks are the property
of their respective holders.
Except for the historical information contained herein, the matters
discussed in this news release include forward-looking statements that involve
risks and uncertainties described from time to time in the Company's filings
with the Securities and Exchange Commission (SEC). Factors that could cause
actual events or results to differ materially include without limitation:
Risks of Delays in Customer Orders and Employee Attrition resulting from the
announcement and pendency of the proposed acquisition of the Company by
Informix Corporation; Increased Competition within the Data Warehousing
Industry; Repositioning the Company towards Solutions and Applications; Newly
Announced Changes in Management Personnel; Dependence on New Products and
Rapid Technological Change; Feasibility of In-Process Technology; Dependence
upon Key Personnel; Dependence on Continued Growth of the Data Warehouse
Market; and other factors discussed in the "Risk Factors" sections of the most
recent Annual Report filed with the SEC on Form 10-K for the year ended
December 31, 1997 and the most recent Form 10-Q for the quarter ended
June 30, 1998.
SOURCE Red Brick Systems, Inc.
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Related links:
http://www.redbrick.com
Company News On-Call:
http://www.prnewswire.com/comp/105756.html or fax,
800-758-5804, ext. 105756
CONTACT:
Carolyn Hughes of Red Brick Systems, Inc.,
408-399-7216, or chughes@redbrick.com
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