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: antuka_poi@ukr.net

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

akhmajon.abdiganiyev@kimep.kz

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