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| Palisades Research
provides database and decision support solutions including
data warehouse and data mart design and implementation,
Internet-enabled information delivery for decision
support, and on-line analytical processing (OLAP).
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In addition to data
warehouse and data mart development and OLAP, we provide
statistical analysis, data mining, web development
for data processing, and list merge/purge development. |
Try our hands-on
Web-enabled auto insurance, homeowners insurance,
and telecom OLAP
samples built with SAS technologies, and our auto
insurance OLAP
samples built with Microsoft Analysis Services.
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For a free consultation or review, submit your project details here
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Understanding your business is critical to project success.
We are SAS and Microsoft developers
but we are also analysts. Our staff experience and expertise includes
statistics, economics, finance, business, and even science.
Palisades Research is a database and analytical
consulting firm that has been developing informational capabilities
for its customers since 1991.
Our efficiency comes from years of experience in organizing and
web-enabling very large databases. We have extensive experience
in performing statistical analysis and providing marketing support.
By combining our SAS and other development skills with our experience
in statistics, economics, finance and business consulting, we
help clients expand their information and analytical capabilities.
Using SAS Enterprise Miner and our own extensive knowledge of
data mining techniques, our clients can easily retrieve and manipulate
information from their data warehouse or data mart.
As
data warehouse consultants, our data warehouse, data mart, data
mining and Internet-enabled on-line analytical processing solutions
allow our clients to bridge critical information delivery gaps
and increase the efficiency of their enterprise.
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SAS:
We have provided SAS data warehousing, data mart and Internet-enabled
on-line analytical processing (OLAP) solutions for the insurance and telecommunications
industries. We also create sophisticated data exploration and
modeling solutions linked to SAS data warehouses in the retail, publishing
and direct mailing, and
pharmaceutical industries.
Microsoft: We also construct OLAP solutions
using SQL Server Analysis Services and Office Web Components.
Together: We specialize in combining
SAS and Microsoft technologies.
As
a SAS Alliance partner, we provide SAS database consulting and
experienced SAS programming. Most of our staff is SAS certified.
Business needs are the main driver of data warehouse and data
mart structure and OLAP dimensions and hierarchies. But processing
time and storage requirements are important. For large data
warehouses and data marts, data model design must support efficient
use of resources (CPU cycles and storage space) for creating
and updating the data warehouse or data mart and for processing
reports. |
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Database/OLAP:
Our OLAP solutions provide multi-dimensional views of critical
company data. Intuitive, powerful OLAP viewers enable decision
makers at all levels of expertise to analyze business scenarios
from various perspectives.
OLAP
delivery methods include the SAS MDDB Viewer, SAS Xplore, Microsoft
Office Web Components (using Data Access Components), and Microsoft
Excel pivot tables.
Platforms: For database and OLAP solutions, we
work in UNIX, MVS and Windows, creating both single-platform
and multi-platform solutions, using ODBC, OLE DB, SAS Connect
and SAS Share.
Office/VBA: We have also created unique
applications based on Microsoft Office® and VBA.
Data Mining: SAS Enterprise Miner provides
a remarkable graphical interface and advanced data mining capabilities.
Warehouse Administration: We find SAS
Data Warehouse Administrator helpful in automating monthly production
through process scheduling, keeping track of changes in architecture
and variable definition, and creating an HTML version of the
data dictionary that can be accessed during OLAP sessions. |
