SAS Data Mining Tools Drive Growing Segment of Business ...Document Transcript
TECHNOLOGY & SOLUTIONS
SUPPORT & SERVICES
HINTS & TIPS
Welcome to the latest issue of In the Know, the bi-monthly newsletter for SAS users.
It’s often been said that you can’t manage what you can’t measure. IT professionals are frequently called upon to
implement solutions that measure the costs and benefits of business activities. Usually these solutions require close
collaboration between business managers, consultants and IT specialists. Nowhere is this more so than with Activity
Based Management (ABM), the theme of our main Technology & Solutions feature.
Our second Technology & Solutions article looks at Service Level Management. In this case, the business managers and
the IT managers are the same people. The new SAS Service Level Management Solution helps IT departments to align
their activities more closely to business objectives and demonstrate the value they deliver.
Of course, you cannot reliably measure anything without high quality data, a topic we highlight with news of a course
we’re introducing later this year. We also report back the results of our customer survey - we’re doing great, but you gave
us some good ideas for improving things further. Plus we have more of the Hints & Tips that you find so valuable.
Finally, if you didn’t make it to seugi 21 in Vienna, we’re providing some useful links to help you catch up on what you
missed and don’t forget you can now register your attendance for the UK User Forum, which are taking place in London
on 15 October and Cumbria on 28 October.
SAS Data Mining Tools Drive Growing Segment of Business Intelligence Market
According to a recent IDC report* ranking vendors based on worldwide revenue for
"SAS’ long term leadership
business intelligence (BI) tools, SAS maintained its leadership of the data mining
of the growing data mining
segment with a 36 percent market share, while continuing to be one of the leaders of the
software market positions
overall BI tools market.
the company well for the
increasing importance of
Worldwide revenue for the BI software tools market increased by 1.6 percent over 2001
predictive analytics in BI."
with a forecasted 2002-2007 compound annual growth rate of 4.1 percent. SAS’ growth
Dan Vesset, IDC's
rate remained positive this year, exceeding its performance from the previous year,
Analytics and Data
largely as a result of the breadth of SAS’ data warehousing, business intelligence and
"While continuing to invest heavily in R&D, SAS continues to provide one of the broadest portfolios of BI tools, which the
company sells along with its data warehousing tools and analytic applications," said Dan Vesset, research manager for
IDC's Analytics and Data Warehousing practice. "SAS’ long term leadership of the growing data mining software market
positions the company well for the increasing importance of predictive analytics in BI."
IDC states that the BI market is composed of end-user query, reporting and analysis tools; data mining tools; and
packaged data mart/warehouse tools. The data mining market, the fastest growing segment of the BI market per IDC,
increased 5.1 percent to reach $486 million in 2002.
"Forward-thinking businesses use data mining to reduce fraud, anticipate resource demand and curb customer attrition,"
said Jim Davis, SAS’ senior vice president and chief marketing officer. "SAS data mining technology continues to be
recognised as one of the best ways to help companies unleash the hidden potential of their data. Our data mining
solutions enable us to deliver predictive analytics to a large audience – from the statistician to the non-technical business
user – to help them get accurate and timely intelligence to make better, faster business decisions. There’s simply no
better way to help organisations gain a competitive edge and get the ROI they need to thrive in this economy."
* “Worldwide Business Intelligence Forecast and Analysis, 2003-2007” (Dan Vesset, June 2003)
For further information on SAS Data Mining, please visit: http://www.sas.com/technologies/analytics/datamining/
SAS International Users Gather in Vienna for seugi 21
Seugi 21, the premier annual international event for Enterprise Intelligence, took place
on June 17-19 in Vienna, Austria. Over 2,000 delegates from business, the public
sector and academic institutions attended the conference, and another 550 executives
attended a parallel event at Vienna’s Schönbrunn Palace.
The highlight of the conference was of course the unveiling of the new features of SAS
9. In response to customer demand SAS International increased the focus on
technology, applications and implementation issues at this year’s event. Thursday, the
third day of the conference, was entirely dedicated to SAS Technology Expertise with streams covering: Analytic
Intelligence, Business Intelligence, Application Development, Intelligent Storage, ETLQ, Administration and Metadata and
Analytical Techniques for Risk Management and Supply Chain Management.
Allan Russell, SAS International’s Senior Vice President, Strategy, kicked off the presentations with an Introductory
Plenary on the “Intelligence Value Chain” and followed up with a further Technology Plenary on SAS 9.
There’s no substitute for attending an event like seugi. But if you missed seugi 21 in Vienna the following links will help
you catch up with some of the main announcements, technology topics and themes under discussion:
• Reducing the cost of data integration, increasing ROI
• The next step in database marketing evolution
• Real-time behaviour tracking + deep analytics = improved customer profitability
• Providing a precise focus on profits
• New compliance solutions for financial services
• Plenary sessions:
Next year’s seugi will take place in the Danish capital, Copenhagen, and we very much hope to see you there!
Don’t miss this year’s User Forum taking place in London on 15 October and Cumbria on 28 October. They provide the
perfect opportunity to hear current news from the world of SAS - hear about the latest SAS technology developments,
exchange best practices with other users and learn how they are using SAS software.
Visit our web now for the chance to apply to present your own SAS experiences, influence the content of this year’s forum
and register to attend (receiving a 50% discount on the full delegate fee):
Morgan Stanley Identifies its Best Customers using SAS Data Warehouse and Data Mining
Like many brokerages, Morgan Stanley could tell a lot about its 5 million accounts -- but
not nearly as much about its account holders.
The venerable Wall Street firm offers a myriad of products and services and -- after
merging with Dean Witter in 1997 -- owns the Discover Card Co. with its 50 million
cardholders. Before turning to SAS for help analyzing and organizing its data, it didn't
have the capability to target its marketing efforts and offer the best fee structures to its
most profitable clients.
Morgan Stanley IT team
"Originally when customers joined Morgan Stanley, they could open multiple accounts --
an IRA, education IRA, a regular brokerage account -- but we had no way of viewing and
analyzing the client holistically," says Tom Tao, vice president and chief statistician for the CRM group. The company also
had difficulty identifying its most profitable customers, and individual households could receive multiple copies of the
same marketing effort.
Matching Accounts to Houses
Morgan Stanley's CRM data mart houses five terabytes of data from at least 30 different sources. From outside
demographic and life cycle information to internal information on revenues, fees, transactions, products purchased and
attitudinal information, the brokerage captures a wealth of data.
To match all that data to a specific client or household, Morgan Stanley turned to SAS for data warehousing, cleansing
and analytic solutions.
Now the company knows that its 5 million accounts go with 2.6 million households. It can now pair that information with its
products, life cycle data and attitudinal information at the individual client level. It can find how many mutual-fund-loving
New Yorkers with a high level of assets available for investment respond to an education IRA offer. And it can locate the
well-to-do Chicagoans near retirement age who would enjoy Morgan Stanley's preferred fee structure if they rolled over
one more IRA.
"We can ask questions now such as, 'What's our customer penetration for a certain Morgan Stanley mutual fund?'" Tao
says. "Before SAS, I don't think anyone could get that information in a timely way. They had to go the IT department,
which took much longer, because our IT team wasn't dedicated to handling analytic requests."
Good Models Result From Good Data
When you've got more than 30 sources of data, it's very important to make sure that they are clean -- or the models won't
work. With ETLQ (ETL to the power of Q, for quality) from SAS, that data is cleansed with minimum effort -- and maximum
The SAS solution Morgan Stanley chose integrates the extract-transform-load process with data cleansing capabilities
from DataFlux, a SAS company. DataFlux software cleanses the data and finds duplicates -- as well as multiple accounts
associated with one household.
"We can really vouch for this data," says Michael Strachan, vice president of client technology services at Morgan
Strachan used the data cleansing process to eliminate duplicate addresses from its Discover credit card company
marketing list. "SAS ETLQ enabled us to remove some 350,000 names for a particular campaign," he says. "Not only does
it save mailing costs it also avoids annoying customers with excess mail."
The next step will be to use data cleansing to do the same kind of "de-duping" of its brokerage accounts.
A clean data warehouse delivers advantages across various functions. "Without data cleansing, it's pretty complicated to
try to standardize the address or assign a unique customer identifier. With SAS and DataFlux we can look at multiple
address records and identify whether they belong to the same household or not," Tao says.
He expects the de-duping to eliminate 5 to 10 percent of the company's mailing list. "It's important to keep the client
happy. You don't want them receiving eight or 10 mailings."
SAS Provides the Big Picture
Along with the warehouse, Morgan Stanley chose SAS Enterprise Miner to mine data and build new models.
Because Enterprise Miner doesn't require a programming background, a business analyst with some statistical training
can use the intuitive point-and-click graphical user interface. Combined with SAS data warehousing, the tool creates an
end-to-end solution that addresses the full spectrum of knowledge discovery.
From Tao's perspective, it's SAS Enterprise Miner that helps deliver a complete view of its business. One example:
Morgan Stanley discovered that for a certain segment of its client base, 13 percent of the customers were generating 75
percent of the revenues. That knowledge led the firm to adjust its fee structure to encourage loyalty among that 13
Tao is particularly happy with the graphical aspect of SAS Enterprise Miner. "With the decision tree, it gives you a
visualized picture. For senior management it's much easier to communicate with graphs and pictures rather than with a lot
For Tao and Strachan, SAS is an eye-opener. "SAS really helps us look at the big picture," Tao says.
For further information, please visit:
SAS Data Warehousing: http://www.sas.com/technologies/dw/index.html
Enterprise Miner: http://www.sas.com/technologies/analytics/datamining/miner/index.html
TECHNOLOGY & SOLUTIONS
SAS Activity Based Management – Integrated Financial Intelligence for Smarter Decision
The two critical failings of traditional cost accounting systems are:
• inability to report individual product, service, customer and process costs to a
reasonable level of accuracy;
• inability to provide useful feedback to management for the purpose of
As a result, managers of complex organisations are making important decisions about pricing, product and customer mix,
resource allocations and budgeting based on inaccurate and inappropriate cost and profitability information. For
example, studies have shown that 20% of all customers virtually provide all the profits of a company. Another 60% break-
even and the remaining 20% only reduce the bottom line. Yet many companies continue to treat all customers the same,
because they do not know the true costs of servicing individual customers.
What is activity-based management (ABM)?
SAS Activity Based Management is a combination of consultancy and technology services designed to deliver a solution
that will enable managers to get an understanding of the actual costs and profits associated with a product, customer,
service or process, surfacing cause-and-effect relationships.
SAS ABM enables ongoing profitability analysis, cost management initiatives, shared services management, planning
and budgeting, and capacity optimisation — helping the organisation to be more efficient, productive and profitable.
So what’s involved from a technical viewpoint? There are three key components of the ABM reporting engine. Taken
together, these capabilities make SAS ABM a complete end-to-end solution.
SAS ABM integrates with existing financial and operational systems. Uniquely, SAS translates direct and indirect costs
from transactional applications such as ERP and CRM into activity and process-specific costs. In the ABM arena SAS
enables you to:
• Capture and read data from 100-plus sources including Oracle, SAP R/3, SAP BW, DB2, SQL Server, Access, Excel
and Delimited files
• Perform data validation based on pre-defined business rules, and flag exceptions and errors in form of exception
• Convert and prepare data into a suitable structure for loading into models
• Automate the capture, validation and loading of data into models
SAS provides the modelling and analytics tools required to support both strategic and operational decision-making:
• Activity Based Costing, to analyse true costs:
o revealing the true costs of producing and selling products
o analysing the costs involved in providing shared services
• Activity Based Planning, to perform scenario-based planning using the ABC methodology:
o forecasting resource requirements (like people, space and equipment)
o understanding the impact of introducing new products or services
o understanding the impact of price changes on profitability
The information generated has to be made available to business users in an easy-to-understand format and a web-
enabled interface brings analysis and reporting directly to the decision-maker’s desktop. SAS capabilities in this area
• Web-based OLAP (online analytical processing) reporting
• Standard templates enabling end-users to create their own reports
• Ad hoc query and reporting for more detailed investigation
SAS Enterprise Guide enables the end-users to access data locally or on SAS servers, manage the data, perform basic
analyses, reports and summaries utilise high quality graphics and export or publish results to SAS servers and other
Windows or server-based applications.
How can you implement ABM?
First, it is important to bear in mind that ABM is always a business-led project. Technology alone cannot solve the
business issues mentioned above. At a strategic level, an ABM project can only succeed if the organisation’s senior
business leaders are committed to the project and the aims and objectives are communicated throughout the
organisation. Consultancy is then required to manage and drive the project. The organisation and the consultants must
work in close partnership to choose relevant and easy cost drivers from which to build the ABM model. These costs then
need to be accurately allocated: for example, how do you allocate the costs of a broad organisational function such as
telemarketing to individual customers?
Answering such questions is beyond the scope of this article. Suffice it to say that SAS offers unmatched domain
expertise in ABM consultancy, with market-leading resources, project-management know-how, implementation
experience and training.
ABM in action
Kimberly-Clark Europe is among the world's 500 largest companies. The company’s SAS-based ABM solution provides
product and customer profitability information across a highly complex pan-European supply chain. "We wanted to look at
the costs involved in our delivery and distribution cycle, which can last between two and six months, takes in warehouses
in 16 countries, and serves over 18,000 customers," says Issy Aydiner, Finance Director, Supply Chain at Kimberly-Clark.
"By taking data from SAP R/3 and making it subject to certain rules, models and analytical processes, we've created a
simple and cost-effective solution. We can build a route-to-market and then look at each part and the costs involved. We
can model 'what if?' scenarios quickly - removing certain costs to see the effect this would have.”
For the full version of the Kimberly-Clark Europe success story, please visit
For further information on SAS ABM, please visit www.sas.com/uk/solutions/oi_abm.html
Or if you would like to receive an Information Pack on SAS Activity Based Management, please visit:
TECHNOLOGY & SOLUTIONS
New Release: SAS Service Level Management
In an information-driven business world, IT is responsible for an increasing proportion of
corporate expenditure. That means IT not only has to do a highly professional job, but
also needs to show this in terms that make business sense.
For example, a bank’s business leaders do not want to know how many megabytes of
information are carried over its ATM network. Nor do they want to know the mean time
between failures on a network link. However they are interested to know that customers
can get cash when they want it and that the bank is not losing interest by having too
much cash stored in the ATMs.
IT departments can demonstrate their effectiveness in business terms, but this depends on manipulating information with
advanced analytical technology. The good news is that you can typically do this by leveraging existing investments. A
Service Level Management system must pull together data from myriad platforms and applications and convert this into
easily understood information that is aligned to corporate goals. SAS is widely used for Computer Performance and
Capacity Management and the same data, viewed in terms of Services, is necessary for Service Level Management. The
new SAS Service Level Management Solution enables organisations to build on their existing investment in SAS,
automating what for many can become a very manual process.
With such a system, IT management can shift the focus away from measuring inputs and costs to measuring outputs and
benefits such as Quality of Service. It can also cover external suppliers of IT services, to ensure that they are delivering
value for money.
Such a system enables IT management to negotiate sensible Service Level Agreements with internal customers and to
monitor their fulfilment. And because it is automated, managers focus on improving services rather than spending time
writing manual reports and investigating the root causes of problems.
In short, Service Level Management systems provide the link between IT and business, by providing reports focused on
Service Level Management in action
FöreningsSparbanken (Swedbank) is Sweden's biggest retail bank. Swedbank's offerings are complemented by Internet
and telephone services together with instore banks and post offices. Consequently, FöreningsSparbanken styles itself as
"Sweden's most accessible bank": a key aspect of its market proposition and one that's highly dependent on effective IT
services. In this environment, SAS® IT Management Solutions are enabling the bank to track and report on its various IT
systems, in particular to underpin service level agreements (SLAs) valued at US$120 million (€105 million). "SAS helps
to smooth relationships between the business units and the IT department in terms of the production and maintenance of
the IT services we provide." - Fredrik Runnquist, senior vice president and head of IT.
For the full version of the FöreningsSparbank success story, please visit
For further information on SAS IT Management Solutions, please visit: http://www.sas.com/solutions/itsysmgmt/index.html
TECHNOLOGY & SOLUTIONS
SAS Enterprise Guide: New White Paper Available
‘SAS Enterprise Guide - A Roadmap’ is a new SAS Business Intelligence white paper. It focuses on
the capabilities of Enterprise Guide to enable business analysts, statisticians and SAS programmers
achieve their goals while increasing productivity. It also examines how users are able to access this
powerful tool to quickly create simple or complex analytic reports and distribute them with greater
Download and view a free copy online:
SUPPORT & SERVICES
Customer Support Survey: Key Findings
SAS Customer Support is committed to helping you find solutions to problems quickly and effectively, making sure that
you get the best from your SAS investments. The results of our survey suggest we’re on the right track.
Over a five-month period, we interviewed a random sample of users on a fortnightly basis to find out what you really
thought. Specifically, we talked to customers who had used Customer Support recently to ask if you were satisfied with
the way your call was handled. And the results - warts and all - were illuminating. Overall, we were delighted with what
you had to say:
• 95% of customers surveyed said they were happy with the service
• Of these, 85% said we are better than other vendors
• 78% of customers surveyed use Customer Support at least every few months with 83% of you contacting us by
• 89% said they got straight through and on leaving a message 90% were happy with the response time
• 76% rated our follow-up calls as either ‘good’ or ‘outstanding’
One unexpected finding was that most customers do not use list servers as a support resource. However, list servers are
an excellent way to find things out in a proactive manner and can help you solve problems faster. For instance, the
TSNEWS-L mail and file server, maintained by Technical Support, is a good way to make sure you consistently receive
the latest technical details — including alert notices, hot fixes, technical support documents and announcements.
You can sign-up to TSNEWS-L here: http://support.sas.com/techsup/news/tsnews.html
On the negative side, a handful of customers said they couldn’t always get through to experts immediately. This is an
issue we recognise. It’s worth remembering that SAS supports a huge range of technologies and solutions, which means
the person you want may not always be available straight away. If this is the case, the query is passed on to another
person who is also an expert. It boils down to manpower, and we are continuously looking at ways to streamline and
further improve the process.
Were you interviewed? If not, do you have something to add? Please e-mail email@example.com
For more information on SAS Customer Support, visit: http://www.sas.com/offices/europe/uk/services/cust_support.html
SUPPORT & SERVICES
Come clean in 2003 on our new Data Quality course!
According to an independent study by KRC Research carried out in April 2003, two-thirds of European organisations say
that “dirty data” adversely affects their profitability.
Poor quality data seriously compromises the quality of management decision-making. It can also be bad for your
company’s image and reputation. Take marketing data for example - activities based on incorrect or duplicated data can
mean customer dissatisfaction as well as wasted budgets. How many of us receive badly addressed and misspelt
mailings, or receive the same mailing or call more than once?
According to the KRC Research study, 81% of respondents admitted that poor customer data impacts campaign
profitability. The flip side is that high quality data means better decision-making, reduced costs, an improved reputation
and more receptive customers – all of which can have a measurable impact on profits.
Clean data is one of SAS’ core competences. We’re therefore delighted to announce a new two-day course in Data
Quality that will help you tackle this issue head on.
• The course is led by data cleaning expert Dr. Ron Cody
• Course content includes:
o Setting data quality standards and policies
o Practical techniques for error removal
o Checks for missing data
• Detailed course notes and documentation includes Dr. Cody’s book, Data Cleaning Techniques Using SAS
Two courses are scheduled for 7-8 and 9-10 October 2003. For more information and to book online please visit
SUPPORT & SERVICES
SAS Education: Register for the New Brochure
SAS Education continues to reflect your educational needs by producing new and updated courses, workshops and
seminars. To receive your free copy of SAS Education's update brochure for courses in 2003, and the new 2004
brochure available later this year, please register your details online:
SUPPORT & SERVICES
SAS Professional Services: Leading the Pursuit of Excellence
SAS software is used to learn from the past, monitor and communicate the present, gain insight into the future and
quickly react to change. But could you do more?
Tell us about the issues that you face today and allow SAS Professional Services to lead you in the pursuit of excellence:
HINTS & TIPS
How can I find out the code used to define my view?
Forgotten the definitions of your views? Use the following syntax to find out how they are defined.
Here's an example using the procedure SQL.
describe view saslibrary.viewname;
When using the SAS Datastep to create the view, you can also use the following syntax within a datastep to see
the syntax used to create that view.
data sasuser.testview / view=sasuser.testview;
Avg_Price=sum(of price1-price2) / 2;
Note: The above code has been tested using SAS 8.2 on the Windows operating system.
HINTS & TIPS
How can I make a global change to all the blank values to the actual correct value within a set
There are a series of SAS system views in the SASHELP library, which contain useful information. These can be
processed like any other dataset, using WHERE and IF statements to feed values back into your programs. The following
views are a few of the most useful.
VCATALG Library name, Member name, Member type, Object name, Object type,
Object description, Date modified, Object alias.
VCOLUMN Library name, Member name, Member type, Column name, Column type,
Column length, Column position, Column number, Column label, Column
format, Column informat, Column index type
VEXTFL Fileref, Path name (fully qualified file name and path), Engine name.
VMEMBER Library name, Member name, Member type, Engine name, Indexes, Path
VOPTION Session option name, Session option setting, Option description.
VSCATLG Library name, Member name.
VSLIB Library name, Path name
VSTABLE Library name, Member name
VTABLE Library name, Member name, Member type, Dataset label, Date created,
Date modified, Number of observations, Observation length, Number of
variables, Type of password protection, Compression routine, Reuse space,
Bufsize, Number of deleted observations, Type of indexes.
VTITLE Title number, Title text.
This example prints a list of the libraries currently assigned on your system.
proc print data = sashelp.vslib;
The following example globally replaces all blank values within variables selected to another chosen value.
Sometimes you are presented with data that contains blank values for character fields. However in reality, these blank
values may have a value. In the example below we create a dataset containing details of current account balances. Zero
balances are currently represented with blanks, but SAS will treat these as missing values. We will use SAS views to
build a macro that will replace all instances of these missing values with their 'true' values. If you have many variables that
need values replacing (not just blank or character) a macro can prove to be more maintainable than tailor written SAS
input jan03 $9. feb03 $9. mar03 $9. apr03 $9. may03 $9. jun03 $9.;
Credit Credit Credit Overdrawn
OverdrawnCredit Overdrawn OverdrawnCredit
OverdrawnOverdrawn Credit Credit
proc print data=balances;
This is where we use a SAS view, in this instance sashelp.volumn to populate the view tmpz1_char1 (remember that
views take up less space than datasets) with details of the char variable names held within the WORK.BALANCES data
set. Notice in the SQL, we use uppercase letters for the library and dataset name. This is because the view creates
uppercase values for the libname and memname fields.
create view tmpz1_char1 as select * from sashelp.vcolumn
where libname='WORK' and memname='BALANCES' and type='char';
Having created a view containing the names of the character variables we can now use these to populate the values of
our macro variables. We will be creating a number of macro variables with the prefix charz. For this example the number
of macro variables will be 6, charz1-charz6. We also create a macro variable count that contains a value relating the
number of macro variables generated.
set tmpz1_char1 end=eof;
if eof then call symput('count',put(_n_,8.));
This is where we write our macro
%macro testdatz (indata,outdata,replacestr,withstr);
We use 4 positional parameters for this macro. The first 'indata', will be used to tell us which dataset we wish to replace
the values in. The second is 'outdata' which is the name given to the resulting dataset created after the replacements
have been made. The 'replacestr' parameter is the string that you would like to replace and finally 'withstr' is the character
value that replaces existing values.
%local i; - will be used to generate a loop
data &outdata; - create resulting dataset
set &indata; - access the input dataset
%do i=1 %to &count; - use the count macro variable to define the number of loops
if &&charz&i="&replacestr" then &&charz&i="&withstr"; - here's where we replace the values within the dataset
This is the end of the macro.
Here's where we run the macro. Notice the values of our conditional parameters
%testdatz (work.balances,work.balances1, ,Zero);
Lets print the resulting dataset work.balances1 to see the replaced values.
proc print data=balances1;
Note: The above code has been tested using SAS 8.2 on the Windows operating system.
SAS Information Delivery Briefing – Marlow, 25 September
Information overload is a serious issue both for information consumers and the IT professionals who face
constantly expanding business horizons. The challenge is to unlock your corporate data: to find and
distribute information to the right people in the right place at the right time. At this special briefing, business
and IT managers will hear about the latest approaches to tackling information overload - both theory and
reality. This includes the SAS Information Delivery Portal, SAS data enquiries and ERP exploitation.
For further information, please visit: http://www.sas.com/offices/europe/uk/events/idp/index.html
London, 15 October
Cumbria, 28 October
The annual SAS User Forum provides the perfect opportunity to hear current news from the world of SAS - hear about
the latest SAS technology developments, exchange best practices with other users and learn how they are using SAS
software. Our web site now offers you the chance to apply to present your SAS experiences, influence the content of this
year’s forum and register to attend (receiving a 50% discount on the full delegate fee).
For further information, please visit: http://www.sas.com/offices/europe/uk/events/userforum/index.html
DID YOU KNOW?
The Weird and Wonderful uses of SAS
Every now and then we hear about the non-traditional and interesting ways in which SAS is being used around the world.
Over the years SAS software has helped to:
• Ensure the quality of cranberry sauce for holiday meals
• Determine the effects of dieting on middle-aged women
• Manage selective breeding programs for dogs that guide the visually impaired
• Preserve Australia’s Great Barrier Reef, manatees and sea turtles in Florida and albatross in the Southern Ocean
• Optimise the Olympic training program for a world-class swimmer
• Match organ donors with the most compatible recipients
We look forward to hearing about more innovative uses. If you’d like to share your SAS software story with us, please