SAS BI on Demand [SaaS]
The SAS Institute provides five on-demand applications in a Software
as a Service [SaaS] model.
The business intelligence [BI] vendor is providing BI on-demand
through a series of modules, two modules have a marketing focus.
SAS released a BI module based on its full on-premise BI platform,
- Supplier relationship management
- Marketing automation
- Veridiem marketing relationship management
- Anti-money-laundering [Revenue Assurance]
"We are looking at this as a way to augment customers implementing
an SAS-based solution quickly at the right cost and with the right
quality," said Richard Roach, senior director of SAS Solutions
The applications are available on a leased basis, in a multi-tenant
environment, providing economies of scale for customers willing
to share a server. The applications are also available as a single
tenancy for customers concerned about security.
The on-demand applications allow companies to get BI projects up
and running quickly, and offer SMBs an affordable BI solution.
A survey from AMR found that among companies considering investments
in BI [dashboards and scorecards, analytic applications, analytic
infrastructure and planning, and allocation and budgeting tools],
between 17% and 22% said they would prefer to license the software
BI has seen some on-demand applications already in the area of
Web analytics. SAS has its own on-demand Web analytics tool and
is joined by pure-play Web analytics vendors such as San Diego-based
WebSideStory Inc. and Orem, Utah-based Omniture Inc.
"There's really an opportunity to do more of this," said
Henry Morris, group vice president and general manager for integration,
development and application strategies at Framingham, Mass.-based
IDC. "I think you'll see it in conjunction with on-demand applications.
Once people have the data, they can deliver it in that form as well."
Richard Roach said that SAS's on-demand BI tools can work in conjunction
with data from SaaS vendors such as San Francisco-based Salesforce.com,
through that company's application program interfaces or simply
by bringing that data into the SAS systems.
SAS will house the applications in its own data centers and provide
a 99% uptime guarantee with its service-level agreements.
Pricing is based on the number of users, the volume of data customers
want to access, and security requirements. SAS is certified in the
SAS 70 auditing standard (not affiliated with the company), a major
source of comfort to financial companies worried about data encryption,
"[Moving the data is] pretty straightforward," Hagerty
said. "A lot of companies are wary to pass data outside the
firm, but because they've couched this with the SAS 70 environment,
that should alleviate their concerns."
The applications are available immediately, Roach said, adding
that SAS will roll out more on-demand applications with an e-mail
marketing tool that is likely to come soon.
A hosted solution for Web analytics - companies transmit their
data to SAS for analysis; they receive reports the next day that
help them optimize their Web business.
Most online service providers can deliver basic reports that show
current activity levels and historical trends. SAS takes that further
to provide true competitive differentiation with analytical power
that enables SMBs to "predict future outcomes of interest,
explore and understand complex relationships in data, and model
behavior, systems and processes".
- Strategy Reports - provide clear focus on
- Data Mining - reveals subtle but significant
patterns in huge volumes of data— new
insights for better business decisions
- Personalization - tailored customer segments
to support highly email campaigns and test marketing
- Demand Forecasting - anticipate upcoming needs
for product inventory, staffing and distribution readiness
- Data Warehouse Services - organize and feed
back relevant information from the
database for businesses to perform their own ad hoc analysis
SAS Solutions OnDemand are hosted on the SAS® Enterprise Intelligence
Platform—a highly scalable data warehousing, data quality,
analytical modeling and reporting
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