Combining SAS BI Analytics & Teradata ADW
The key to getting more power out of your database is to move key
components of BI, analytics and data integration processes from
the server or desktop to inside the database. This shortens the
process to extract intelligence and simplifies data quality control
and infrastructure administration.
SAS has a strong innovative backgound in data transfer, parallel
processing and grid computing, new technologies aimed at managing
complex computations and to increase the performance and scalability
of high-volume data processing.
In most organisations, data volumes are doubling every 15 to 18
months. That reflects the increase in complexity in which organizations
are now operating, and in turn, supports the need to be able to
rapdily prepare, process and streamline analytics.
Teradatas Active Database is the most effificent technology in
supporting this process. And now SAS, is also leveraging Teradata
database technology to reduce data movement and streamline analytic
processes. Their solution is to embed core data transformation,
analytic and business intelligence (BI) applications into the enterprise
data warehouse engine. By colocating these advanced capabilities
within the database environment, data movement is reduced and the
computational power in the database engine can be harnessed for
analytical exploration and action.
Databases were not initially designed to perform processing hungry
analytical queries in the same environment as transactional queries.
With todays technological advancedments, databases have become more
scalable and parallelized. More like “data grid appliances”
that can handle distributed computations across systems. This reconfiguration
better supports the heavy CPU demand required for running analyses
alongside data transformations.
The benefits of the configuration include:
- Faster response times to business queries
- Reduce costs associated with performing data analyses
- Reduced forcus on the mechanics of accessing and analyzing data,
and more on the business
Analytic solutions [claims fraud, risk management, customer up-sell,
demand forecasting and parts optimization] deliver faster and more
accurate responses direct to the business, reducing the burden on
"Less data movement = faster analytics, and faster
analytics = faster delivery of real-time BI throughout an enterprise".
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