Sas essay final version(1)
description
Transcript of Sas essay final version(1)
The University of Zagreb
Faculty of economics and business
ESSAY
STATISTICAL ANALYSIS SOFTWARE (SAS)
Anna Shvets
Akhmajon Abdiganiyev
Zagreb 2015
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Abstract
The aim of this essay is to analyse a statistical software suite (SAS), used for advanced analytics,
business intelligence, data management, and predictive analytics. The essay is divided into 18
parts, which are focused on a theoretical base of SAS, software history, basic terms, which related
to it, practical usage of software in different parts of business and so on. In addition, authors
analyse SAS in relationships with other competitive software products, based on its advantages
and disadvantages. Authors also evaluate the strengths, weaknesses, opportunities and threats of
SAS by dint of SWOT analysis.
Essay also include authors’ curriculum vitae.
Key words:
Statistical software suite (SAS), data management, predictive analytics, SWOT analysis,
competition.
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ESSAY STRUCTURE
Abstract ......................................................................................................................................................... 2
1. Introduction .......................................................................................................................................... 4
1.1. Essay scope and purpose .............................................................................................................. 4
1.2. Data sources and collection methods ........................................................................................... 4
2. Software short description .................................................................................................................... 4
2.1. SAS short description .................................................................................................................... 4
2.2. Link to SAS homepage ................................................................................................................... 5
2.3. SAS screenshots............................................................................................................................. 5
3. Technical requirements ......................................................................................................................... 7
4. Software service history ........................................................................................................................ 8
5. Detailed description .............................................................................................................................. 9
5.1. SAS service functions ................................................................................................................... 10
5.2. Tutorial – how to use SAS ............................................................................................................ 13
6. Software setup .................................................................................................................................... 14
7. Business usage .................................................................................................................................... 16
8. Competition ......................................................................................................................................... 16
9. Advantages & Disadvantages .............................................................................................................. 17
10. SWOT analysis ................................................................................................................................. 18
11. Starting costs ................................................................................................................................... 19
14. Bibliography .................................................................................................................................... 22
15. List of web links ............................................................................................................................... 23
16. List of figures ................................................................................................................................... 23
17. Authors’ CV ...................................................................................................................................... 23
17.1. Author № 1 .............................................................................................................................. 23
17.2. Author № 2 .............................................................................................................................. 25
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1. Introduction
1.1. Essay scope and purpose
The aim of this essay is to analyse a statistical software suite (SAS), used for advanced
analytics, business intelligence, data management, and predictive analytics in comparison with
other similar products.
1.2. Data sources and collection methods
We use and synthesize data only from reliable sources, like:
Official SAS website;
Google books;
Books;
Peer reviewed articles;
Wikipedia sites (for getting initial ideas about the essay topic)
Our data collection method is a document review. As we review documents, and identify relevant
information.
2. Software short description
2.1. SAS short description
SAS is a software suite developed for advanced analytics, business intelligence, data
management, and predictive analytics.
SAS is an integrated system of software solutions that enables users to perform the following tasks:
data entry, retrieval, and management
report writing and graphics design
statistical and mathematical analysis
business forecasting and decision support
operations research and project management
applications development
How you use SAS depends on what user want to accomplish. Some people use many of the
capabilities of the SAS System, while others use only a few. At the core of the SAS System is
Base SAS software.
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2.2. Link to SAS homepage
http://www.sas.com/en_us/software/analytics/stat.html
2.3. SAS screenshots
Figure 1 - Component Densities Plot
Source : the official website of SAS
Figure 2 - Progression Plot
Source : the official website of SAS
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Figure 3 - Scatter Plot Matrix
Source : the official website of SAS
Figure 4 - Survival Plots
Source : the official website of SAS
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Figure 5 - Spatial Data Analysis
Source : the official website of SAS
3. Technical requirements
SAS is a software suite that can mine, alter, manage and retrieve data from a variety of
sources and perform statistical analysis on it. SAS provides a graphical point-and-click user
interface for non-technical users and more advanced options through the SAS programming
language. SAS programs have a DATA step, which retrieves and manipulates data, usually
creating a SAS data set, and a PROC step, which analyses the data.
Each step consists of a series of statements. The DATA step has executable statements that
result in the software taking an action, and declarative statements that provide instructions to read
a data set or alter the data's appearance. The DATA step has two phases, compilation and
execution. In the compilation phase, declarative statements are processed and syntax errors are
identified. Afterwards, the execution phase processes each executable statement sequentially. Data
sets are organized into tables with rows called "observations" and columns called "variables".
Additionally, each piece of data has a descriptor and a value.
The PROC step consists of PROC statements that call upon named procedures. Procedures
perform analysis and reporting on data sets to produce statistics, analyses and graphics. There are
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more than 300 procedures and each one contains a substantial body of programming and statistical
work. PROC statements can also display results, sort data or perform other operations. SAS
Macros are pieces of code or variables that are coded once and referenced to perform repetitive
tasks.
SAS data can be published in HTML, PDF, Excel and other formats using the Output
Delivery System, which was first introduced in 2007. The SAS Enterprise Guide is SAS' point-
and-click interface. It generates code to manipulate data or perform analysis automatically and
does not require SAS programming experience to use.
The SAS software suite has more than 200 components. Some of the SAS components
include:
Base SAS - Basic procedures and data management
SAS/STAT - Statistical analysis
SAS/GRAPH - Graphics and presentation
SAS/OR - Operations research
SAS/ETS - Econometrics and Time Series Analysis
SAS/IML - Interactive matrix language
SAS/AF - Applications facility
SAS/QC - Quality control
SAS/INSIGHT - Data mining
SAS/PH - Clinical trial analysis
Enterprise Miner - data mining
4. Software service history
The development of SAS began in 1966 after North Carolina State University re-hired
Anthony Barr to program his analysis of variance and regression software so that it would run on
IBM-360 computers. The project was funded by the National Institute of Health and was originally
intended to analyse agricultural data to improve crop yields. Barr was joined by student James
Goodnight, who developed the software's statistical routines, and both they became project-
leaders.
In 1971, SAS 71 was published as a limited release. It was used only on IBM mainframes
and had the main elements of SAS programming, such as the DATA step and the most common
procedures in the PROC step. In 1972, after issuing the first release of SAS, the project lost its
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funding. According to Goodnight, this was because NIH only wanted to fund projects with medical
applications. In 1973 John Sall joined the project and contributed to the software's econometrics,
time series, and matrix algebra. In 1976, Barr, Goodnight, and Sall took the project out of North
Carolina State and incorporated SAS Institute, Inc.
SAS was further developed in the 1980s and 1990s with the addition of new statistical
procedures, additional components and the introduction of JMP. A point-and-click interface was
added in version 9 in 2004. A social media analytics product was added in 2010.
5. Detailed description
The SAS, or Statistical Analysis System, is a collection of software products that is grouped
and offered by the SAS Institute. The collection of software that is routinely included in the system
allows the end user to perform a wide range of tasks that cover just about every aspect of business
administration and function. Essentially, it represents a one-stop shopping approach to getting all
the programs needed under one simple umbrella.
The software included in the typical SAS system provides tools for all sorts of projects and
daily tasks. Writing reports and creating graphics are easy using the tools provided. Research and
project management software aids in creating both operational and marketing strategies.
Tools that allow for quick and efficient data entry and retrieval make it possible to gather statistics
or other information for reports in no time at all.
The system usually includes components that will aid in departmental functions that range from
information systems support to human resources management and even customer care protocols.
Underlying the function of the system is the definition of series of commands that allow data to be
stored as tables within the system.
The data can be retrieved and used by any of the software programs that are included, essentially
creating a central repository for data that can be used by anyone with the proper login credentials.
Using the protocols associated with the login controls, individual users can be permitted access to
certain tables while denied access to others.
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5.1. SAS service functions
Base SAS
Base SAS (Statistical Analysis Software) software is at the epicenter of SAS solutions
because it provides the essential tools for mastering the four data-driven tasks that are common to
virtually all applications: data access, management, analysis and presentation.
SAS/GRAPH
SAS/GRAPH software provides information and presentation graphics capabilities to
produce a wide variety of business charts, plots, and maps in many colors and patterns.
SAS/FSP
The procedures in SAS/FSP software provide convenient interactive facilities for data entry,
editing, and retrieval. Using SAS/FSP software you can:
browse and edit the contents of SAS data sets
enter data into existing SAS data sets
create new SAS data sets
browse and edit SAS data views created with SAS/ACCESS software
browse SAS data views created with the SQL procedure in base SAS software
create, edit, and print form letters and reports
build and customize end-user applications
SAS/STAT
SAS/STAT software provides comprehensive tools for data analysis that meet the needs of
an entire organization. It provides extensive statistical capabilities that enable you to evaluate data
from a variety of sources, including clinical trials, marketing databases, health surveys, customer
preference studies, stock market research, and many more.
SAS/CONNECT
SAS/CONNECT software is a SAS-to-SAS client/server toolset. SAS/CONNECT provides
users and applications developers the ability to manage, access, and process data in a distributed
environment by enabling you to:
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direct processing to a remote data source and get results back locally
develop local graphical user interfaces that process remote data sources
transfer disk copies of data
build integrated client/server applications
develop store-and-forward applications
write object-oriented applications that span platform boundaries
perform client/server based task scheduling
This allows you to create a distributed environment that best utilizes your data and hardware
resources to satisfy your enterprise needs.
SAS/ETS
SAS/ETS software provides very powerful and extensive tools for time series, econometric
and financial analysis. A full range of forecasting and econometric methods, from simple to
complex, are supported. The software also includes a point-and-click Time-Series Forecasting
System that offers automated model fitting and forecasting, and interactive model development.
An Investment Analysis system provides time-value-of-money analysis for a variety of
investments, including loans, bonds, depreciation and generic cash flows.
SAS/SHARE
SAS/SHARE software is a data server that gives multiple users simultaneous access to SAS
files. Working hand-in-hand with other SAS components, SAS/SHARE locates and delivers the
data to meet multiple requests. It is ideal for applications that require constant data updates and
that are accessed by many different users. SAS/SHARE supports security features for server
operations, including native host security and password verification.
SAS/QC
SAS/QC software provides a comprehensive set of tools for statistical quality control and
quality improvement. You can use these tools to organize quality improvement efforts, design
industrial experiments for product and process improvement, apply Taguchi methods for quality
engineering, establish statistical quality control of a process, maintain statistical control and reduce
variation, analyze process capability, and develop and evaluate acceptance sampling plans.
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SAS/ASSIST
SAS/ASSIST software is a menu-driven, task-oriented interface to SAS features and
functionality. Many SAS customer sites use SAS/ASSIST software to empower end users of all
experience levels with the ability to access data and produce analyses and reports.
SAS/IML
SAS/IML software provides a powerful and flexible matrix programming language in a
dynamic, interactive environment for programmers, statisticians and researchers. You can use the
SAS System for data manipulation and statistical analysis, then employ the SAS/IML matrix
language for more specialized analyses and exploration.
SAS/AF
SAS Component Language, SCL, is a programming language that enables you to develop
many different types of applications, from simple programs that accomplish a few tasks to
sophisticated, interactive applications that use procedures available in other SAS software
products. For example, you can use SCL with other SAS software to create data entry applications,
to display tables and menus, and to generate and submit SAS source code. SAS/ASSIST software
is an example of the powerful applications that you can build with SCL.
SAS/AF software provides many predefined classes that enable you to create components for
your applications. Classes provided with the Nashville Releases of SAS software utilize the SAS
Component Object Model, a flexible application framework that enables rapid component
development. Classes supplied with SAS/AF software include a wide selection of visual and
nonvisual classes that can be grouped in the following categories:
Base Classes, a set of four basic classes that provide the foundation from which all other
SAS/AF classes are built
Visual Controls, a set of host-based, graphical user interface components that provide
native platform look-and-feel
Models, a set of nonvisual components that provide access to SAS libraries, tables,
catalogs, external files, and system colors
Nonvisual components that provide other functionality for SAS/AF components
Utility classes that provide access to SAS software features such as the SAS Registry
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Legacy classes, which include the complete set of classes that were supplied with Version
6 of SAS/AF software.
SAS/ACCESS
SAS/ACCESS interfaces offer direct and transparent access to data that is stored in database
management systems, relational database management systems, in ERP systems, and several PC
file formats. Interfaces are currently available for DB2, Oracle, Sybase, MS SQL Server, CA-
OpenIngres, Informix, SAP R/3, Baan, Teradata, OLE DB, ODBC and others.
5.2. Tutorial – how to use SAS
There are several ways to read and write permanent SAS data sets.
Creating a Permanent a SAS Data Set in Windows
The technique for creating a permanent SAS data set in Windows is straightforward. Instead of
using a temporary SAS data set name such as PEOPLE (or a permanent data file such as
MYLIB.PEOPLE) in the SAS DATA statement, use a complete Windows filename.
Consider this SAS code:
DATA “C:\SASDATA\PEOPLE”; INPUT ID $ 1 SBP 2-4 DBP 5-7 GENDER $ 8 AGE 9-10 WT 11-13; DATALINES; 1120 80M15115 2130 70F25180 3140100M89170 4120 80F30150 5125 80F20110 ; RUN; PROC MEANS; RUN;
This code creates a data set called PEOPLE on your hard drive in the C:\SASDATA folder,
and the Window file name of this permanent file is PEOPLE.SAS7BDAT or more precisely,
C:\SASDATA\PEOPLE.SASB7DAT
That is, instead of using a SAS data set name directly, you can use a Windows filename. Thus,
The statement ‘DATA “C:\SASDATA\PEOPLE”;’ creates a permanent SAS data
set stored on your hard drive.
Reading from a permanent data set in Windows
If you already have a SAS data set on your hard drive -- (named for example
PEOPLE.SASB7DAT) anywhere on your system (could be local, network, flash drive, etc)
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you can access that data set in a SAS procedure using the following technique illustrated
here:
PROC MEANS DATA=”C:\SASDATA\PEOPLE”;RUN;
Where C:\SASDATA\SOMEDATA is the Windows filename for that data set.
Run this program and observe that SAS used the data from the file PEOPLE.SASB7DAT
to calculate descriptive statistics on the numeric variables from that data set.
6. Software setup
In order to install SAS for Windows user should consume, that he has more than 1.6 gigabyte
on his hard drive and install all of the modules that are generally used in SAS. The whole process
of installation can be divided into a few steps.
Step 0. Check a computer system
SAS 9.1.3 WILL NOT run on Windows XP Home Edition.
User should make sure that his Microsoft Windows is up-to-date, for example, make sure
that Windows XP Service Pack 2 is installed.
If a system is not up to date, user should update the system first before installing SAS. Visit the
Microsoft Windows website for more details.
After that user should close all the programs and make sure that the virus scan program
is closed. Usually, there are a few Windows programs running in the background, such as
the virus scan program and such. User can see what programs are running from the lower
right corner of the screen such as this one: . Most of the
time, users can then right click on them to close the programs.
Step 1. Before start
Where is a SID file? Before starting installation, determine where SID file is. It usually comes
on a CD. User should copy it to his computer to the Desktop. If user have received it from an
email, file should be saved in the attachment to the Desktop as sid.txt.
Location of temporary WORK directory
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SAS will pick up a default folder for the temporary files created during an active session of SAS.
Unfortunately the default place is usually NOT the best place. This is because it is set to be in a
windows temp directory and this is usually on C drive which may not have very large space as
compared with other drives. Before to start installation, it is better to use Windows explorer to see
how large each of hard drives are and select the drive with the most room for WORK directory. I
tis better to make a folder on that drive, if user do not already have one, named sas_temp_data.
Step 2. Start the Install
User should put in the install DVD or CD (named SAS Setup Disk). If it does not start
automatically, such as in the DVD version, user should click on the file named setup.exe.
Choose the language for running SAS
Step 3. Verify System Requirements (and possibly update system to meet requirements)
Under the "End User Steps", user should choose "Verify System Requirements".
If user wish to login automatically after reboot, he should enter his computers password.
There are three components that needed to be updated. User should press Next button to
update these components.
If the System Requirements Wizard requires that user update Java Runtime Environments
(JRE), he should click Next, then JRE should automatically be installed.
Step 4. Install SAS Software
User should click on the button to install SAS 9 Software
User should “tell” SAS that he have the SAS Installation Data in a File, which is the default
and then he should click on Next.
It is important to use the Browse button to point to where user have saved the sid.txt file
(Step 1.). Then he should click Next.
It takes SAS a couple of minutes (depending on the speed of the machine) to process the
installation request.
After that user would be able to select the language(s) he wish and then press next.
After that user can choose the components (modules) to be installed.
The last step – he should click Next to start the install.
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7. Business usage
SAS uses analytics to transform data into insights giving fresh perspective to businesses. Identify
what is working. Fix what is not. Discover new opportunities. That is how SAS help organizations
do: turn large amounts of data into knowledge they can use. And SAS do it better than anyone.
SAS is used at more than 70,000 sites in 139 countries, including 91 of the top 100 companies on
the 2013 Fortune Global 500. These companies rely on SAS Business Analytics to:
Find and seize opportunities to grow their businesses and increase profits.
Take strategic, operational and tactical action – in record time.
Use data to make decisions that provide tangible results.
SAS also makes business analytics easy to use. For example, data visualization with SAS Visual
Analytics transforms the way how users analyse data. Managers can spot patterns, identify
opportunities for further analysis, and convey visual results via Web reports or iPad® and Android
tablets. Every decision maker in the organization can access and use fast, accurate predictive
analytics of SAS.
SAS is the leader in business analytics software and services, and the largest independent vendor
in the business intelligence market.
8. Competition
In a 2005 article for the Journal of Marriage and Family comparing statistical packages
from SAS and its competitors Stata and SPSS, Alan C. Acock wrote that SAS programs provide
"extraordinary range of data analysis and data management tasks," but were difficult to use and
learn. SPSS and Stata, meanwhile, were both easier to learn (with better documentation) but had
less capable analytic abilities, though these could be expanded with paid (in SPSS) or free (in
Stata) add-ons. Acock concluded that SAS was best for power users, while occasional users would
benefit most from SPSS and Stata. A comparison by the University of California, Los Angeles,
gave similar results.
Competitors such as Revolution Analytics and Alpine Data Labs advertise their products
as considerably cheaper than SAS'. In a 2011 comparison, Doug Henschen of InformationWeek
found that start-up fees for the three are similar, though he admitted that the starting fees were not
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necessarily the best basis for comparison. SAS' business model is not weighted as heavily on initial
fees for its programs, instead focusing on revenue from annual subscription fees.
9. Advantages & Disadvantages
The SAS High-Performance Analytics for Teradata Advantage Program combines the world's
best-advanced analytics with the world’s leading data warehouse platform. In addition, a
specialized, proven set of well-defined services is available to help customers get rapid time to
value.
Why to use SAS?
In this era of big data, it is a known fact that data volumes continue to grow and
organizations are dealing with complex business issues with heightened global competition.
Recognizing the importance of near real-time advanced analytics for solving complex business
problems is crucial due to the speed of change in the market place, which demands the need for
making business decisions - faster.
There are some advantages of SAS software.
Act quickly and confidently (Fast optimization routines) - Seize new opportunities, manage
large volumes of data and make the right choices.
Expand the use of advanced analytics - Solve very complex problems that could not
be solved before.
Gain insights at breakthrough speeds – Make high-value and time-sensitive decision by
leveraging in-memory analytics.
Ask and answer new business questions – Apply new insights to your daily operations.
Take full advantage of a highly scalable - Reliable infrastructure that is optimized for big
data and complex analytics.
Flexible, because users write their own code.
There are also some disadvantages of SAS software:
Access not universal, varies by state and region
Requires learning the language (but similar to other languages)
Nonparametric analyses are OK, not great
Bootstrapping and Monte Carlo methods are cumbersome to do but can be programmed
Graphics not good
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10. SWOT analysis
SWOT analysis is a way of evaluating the strengths, weaknesses, opportunities, and threats that
affect SAS Software. Here we analyse a company, because all its strengths, weaknesses,
opportunities, and threats have impact on their products (SAS software).
Strengths
Innovative culture (An innovative culture helps SAS to produce unique products and services that
meet their customer’s needs).
Pricing Power (Customers typically rebel against price increases by switching to competing
products, but if a company has pricing power, customers will continue using SAS’s products and
services).
Unique products (Unique products help distinguish SAS from competitors. SAS can charge higher
prices for their products, because consumers can’t get those products anywhere else).
Weaknesses
Outdated technology (A lack of proprietary technology and patents can hurt SAS’s ability to
compete against rivals).
Customer service (Weak customer service hurts SAS’s reputation and causes customers to flee to
competitors, who are more respondent).
High staff turnover (High staff turnover can hurt SAS’s ability to compete, because replacing
valuable staff is expenses).
Opportunities
New technology (New technology helps SAS to better meet their customer’s needs with new and
improved products and services. Technology also builds competitive barriers against rivals).
New markets (New markets allow SAS to expand their business and diversify their portfolio of
products and services).
Threats
Political risks (Politics can increase SAS’s risk factors, because governments can quickly change
business rules that negatively affect SAS’s business).
Volatile costs (Volatile costs mean SAS has to plan for scenarios where costs skyrocket. Cautious
planning leads to development delays that can negatively affect SAS).
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Volatile revenues (Volatile revenue makes planning difficult, which could delay key investments
in SAS’s business).
Substitute products (The availability of substitute products hurts SAS’s ability to raise prices,
because customers can easily switch to another product or service).
11. Starting costs
Each successful IT product has certain costs. This is also true for SAS, which has different
products that can be applied in business sector. Depending on the size and type of purchase SAS
products vary in costs. SAS software are famous for being flexible in any operation systems that
company uses. By being quite comfortable and easy in use SAS software delivers efficiency to
many processes such as data processing, conducting statistical researches, organizing data into
meaningful graphs and other representations. In 2011 SAS introduced new products in its customer
intelligence line. Nowadays, there are variety of modules of SAS products that are applicable in
webs, social media and marketing analytics, which might be used to classify information about
customers, and predict their buying behaviour. Moreover, company was able to develop new
product called SAS Fraud Framework, which enables company to track all business related
transactions executed in several other software. It is really powerful tool that is can be applied to
reveal anomalies that are indicative of fraud.
Prices of SAS products as it has been mentioned previously differs. Usual price of software
depends on type of customer, whether customer is an enterprise, institution, or individual, or
government. Therefore, depending on amount requested by organization prices of software can
vary. For instance, basic windows Analytics package costs 8,700 USD for the first year. This
package includes BASE, STAT, and GRAPH products for basic and simple data processing,
advanced statistics, and automated product graphics. However, for more than one user or versions
that are run on Linux, Unix it is expected that prices will be higher. License fees can easily reach
100,000 USD per year. But, usual prices of SAS software range from $ 24,000 to $ 64,000
(www.quora.com).
12. Statistics
As SAS was able to develop new product lines and successfully introduce them in market,
demand for them increased from year to year. According to annual report of SAS in 2013 revenue
totalled 3.02 billion USD, hitting the 38th straight year of record.
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Source: Official webpage of SAS Company
The figure above represents overall revenue generation by regions of the world. As it can
be seen Americas represent significant proportion of company revenue generation. Moreover,
current potential for company is from Europe, Middle East and Africa, this region takes second
place on revenue generation list of the company. The least one is Asia Pacific region with almost
12% of revenue. Next diagram illustrates the sector division of revenue, which includes all sectors
that purchased SAS products.
Source: Official webpage of SAS Company
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As it can be seen from the division of SAS revenue by sectors, most demanded sector was
banking sector with more than 25% and then followed by government purchases about 14%. Least
amount of revenue comes from sectors such as education, capital markets, utilities and others.
Furthermore, SAS recently announced that more than 1,400 sites were licensed for Visual
Analytics in 2013 (www.thomaswdinsmore.com)
12. Software update
In order to update any SAS software a user must go to special supporting webpage
maintained by SAS Company. This webpage is called “www.support.sas.com” where user will
have an instruction how to upgrade SAS products. In order to be able to update SAS software, user
must download so called “SAS deployment wizard”. Primary mission of this wizard is to compare
the releases of the SAS software in current order to the SAS software, which is deployed on the
machine. There are three possibilities that exist:
1. The software in the order has a newer release level than the software that is deployed on
the machine;
2. The software in the order has an older release level than the software that is deployed on
the machine;
3. The software in other order has an identical release level as the software deployed;
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This picture above illustrates a typical SAS deployment wizard main menu. As it can be
seen from the picture there are two columns one of which indicated the status “installed” with
version, another shows “update” status. If the deployment wizard detects one or more products in
the order have a newer release level than any other products in the specified SAS Home on the
machine, the wizard goes into upgrade mode.
13. Conclusion
In conclusion, it must be said SAS is currently one of leading and successful companies
that is offering quite various types of products and services, which are vital in every industry
segment. Despite the fact that company faces harsh competition by government-backed
companies, organization is able to achieve tremendous success due to its very innovative and
comfortable software tools that every organization needs. Its products are highly valued by
different institutions. Moreover, it must be said that company’s future in developing latest versions
of analytical tools that will meet changing market needs and wants seems promising. The need for
such analytical tools that company produces will never disappear, if company puts its best efforts
to keep market and consumer oriented strategy.
14. Bibliography
Dinsmore, T. (2013, May 14). SAS Visual Analytics: FAQ (Updated 1/2014). Retrieved May 3,
2015, from http://thomaswdinsmore.com/2013/05/14/sasvisualanalytics/
How to Buy SAS Software. (n.d.). Retrieved May 3, 2015, from
http://www.sas.com/en_us/software/how-to-buy.html
SAS (software). (n.d.). Retrieved May 3, 2015, from
http://en.wikipedia.org/wiki/SAS_(software)
SAS surpasses $3 billion in 2013 revenue, growing 5.2% over 2012 results. (n.d.). Retrieved
May 3, 2015, from http://www.sas.com/en_za/news/press-releases/2014/january/2013-
financials.html
SAS(R) 9.2 Intelligence Platform: Installation and Configuration Guide. (n.d.). Retrieved May 3,
2015, from
http://support.sas.com/documentation/cdl/en/biig/60946/HTML/default/viewer.htm#add
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ont
Sinclair, L. (2013, July 8). How much does SAS cost? Retrieved May 3, 2015, from
http://www.quora.com/How-much-does-SAS-cost
15. List of web links
http://www.sas.com/en_us/home.html
http://www.ats.ucla.edu/stat/sas/icu/install9_1_3_win_lite.htm
http://ecs.arrow.com/blog/portfolio-item/sas/
http://www.sas.com/en_us/insights.html#filterlist=cbo731
http://sastrainingnoida.blogspot.com/
http://en.wikipedia.org/wiki/SAS_%28software%29
https://www.youtube.com/watch?v=r1Yy_sYbfy0
http://support.sas.com/documentation/cdl/en/biig/60946/HTML/default/viewer.htm#addon.htm
http://thomaswdinsmore.com/2013/05/14/sasvisualanalytics/
http://www.quora.com/How-much-does-SAS-cost
http://www.sas.com/en_za/news/press-releases/2014/january/2013-financials.html
http://en.wikipedia.org/wiki/SAS_%28software%29
http://www.sas.com/en_us/software/how-to-buy.html
16. List of figures
Figure 1 - Component Densities Plot ......................................................................................................... 5
Figure 2 - Progression Plot ......................................................................................................................... 5
Figure 3 - Scatter Plot Matrix .................................................................................................................... 6
Figure 4 - Survival Plots ............................................................................................................................. 6
Figure 5 - Spatial Data Analysis ................................................................................................................. 7
17. Authors’ CV
17.1. Author № 1
Personal information
Full name: Shvets Anna
Date of Birth: November 06, 1992
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Address: Krasnodarskaya str. 175 fl.112, Kharkiv 61176, Ukraine
Address in Czech Republic: Janděrova 190, Jindřichův Hradec 37701, Czech Republic
Telephone number: +420 775907984
Email adress: [email protected]
Nationality: Ukrainian
Education
23.02.2015 – 25.06.2015 – The University of Zagreb
The Faculty of economics and business
Trg Johna Kennedyja 6, Zagreb, Croatia
10000
Took part in a student mobility program “Erasmus”
2012 – 2015
The University of economics, Prague
The Faculty of Management
Jarošovská 1117/ 2, Jindřichův Hradec, Czech Republic
377 01
Third year student. Studing management, economics, law.
2010 – 2014
National University “Yaroslav the Wise Law Academy of Ukraine”
Correspondence Faculty № 1
Pushkinskaya 77, Kharkiv, Ukraine
61024
Bachelor's degree in jurisprudence
2011 – 2012
Language school ”Karlov College” in Prague
Study Czech language
2000 – 2010
Kharkiv Gymnázium № 47, Kharkiv
A-Levels in Ukrainian language and literature, English, Math, History
Work Experience
2010 – 2011
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Personal assistant
Regard Ltd., Semigradskaya 12A, Kharkiv, Ukraine, 61068
Summer 2013 and 2014
Took part in work experience programme for students at Business Court of Kharkiv
region.
Plosha Svobody 5, Kharkiv, Ukraine, 61022
Skills
Language Skills
- Russian (mother language)
- Ukrainian (mother language)
- Czech (Advanced level)
- English (Upper intermediate level)
Computer Skills
- experienced in MS Office (Word, Excel, PowerPoint)
Personal Skills
- excellent communication and organization skills, team player, determined
17.2. Author № 2
PERSONAL INFORMATION Akhmajon Abdiganiyev
Gajsak Street 44 C, 10000 Zagreb
(Croatia) 0976379649
Skype ahmet.abdiganiyev | Google Talk ahmet.abdiganiyev
Sex Male | Date of birth 14/12/1994 | Nationality kazakhstani
POSITION Office Assistant at Housing Department
WORK EXPERIENCE
15/04/2013–Present Office Assistant at Housing department Assel Altaigulova (Manager of Housing department), Almaty (Kazakhstan)
- Computer and other electronic device maintanance
- Relations with the residents and landlords -Demonstration of apartments to the University Faculty, to the students and others - Maintenance of apartments which belong to the KIMEP University on campus
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- Payments for different household bills including Cable TV, Internet and etc.
- Reserving rooms for the KIMEP guests in the hotels
EDUCATION AND TRAINING
08/11/2009–25/05/2010 English Language Advancement "NiK" Private Educationl Center, Sayram District (Kazakhstan)
1) English Courses: Elementary, Pre-Intermediate, Intermediate and Upper-
Intermediate
2) Computer Science and using different office tools
3) Basic High School Algebra
4) Leadership and psychological training
5) Russian Language proficiency
09/05/2010–30/06/2012 World Education and training Shakhnoza Yakubova's Academic Resource and Career Consulting Center, Almaty (Kazakhstan)
- Time Management
- Psychology: Personal Development
- TOEFL Preparation course conducted in English
- Introduction to the legal system of Kazakhstan
- Kazakh Language Proficiency
- Social Work Project -Career Shadowing - History of Kazakhstan
- Mathematics, Physics, Chemistry, Biology in English for professionals
- World Literature
- Public speaking
Computer skills -good command of Microsoft Office™ tools -excellent skills of using Corel Draw Graphics -
good knowledge and use of Adobe programs -Web design