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(1)

Certification In

SAS Programming

Introduction to SAS Program

(2)

In this session, you will gain answers to:

Overview of Analytics

Careers in Analytics

Why Use SAS?

Introduction to SAS System

(3)

Introduction to

Analytics

(4)

BIG

DATA

Data that is

TOO LARGE

&

TOO

COMPLEX

for conventional data tools

to capture, store and analyze.

Shares traded on US

Stock Markets each

day:

7 Billion

Data generated in

one flight from NY

to London:

10 Terabytes

Number of tweets

per day on Twitter:

400 Million

Number of ‘Likes’

each day on

Facebook:

3 Billion

The 3V’s of Big Data

VOLUME

VARIETY VELOCITY

90

%

OF THE WORLD’S

DATA WAS

GENERATED IN THE

LAST TWO YEARS

(5)

What is Analytics?

Data on its own is useless unless you can make sense of it!

WHAT IS ANALYTICS?

The scientific process of transforming data into insight for making

better decisions, offering new opportunities for a competitive

(6)

What is Business Analytics?

Past Business

Performance

Data and Statistical Models

Analysis

Role of

Business

Analytics

Future

Business

Performance

Insights

Quantitative Analysis

Evidence-based

Management

Informed

Business

Decision

Making

Business Analytics is not so much about tools or technologies – It is a way of

thinking that uses knowledge, tools and techniques to extract valuable insights

from unstructured data, which then leads to a business strategy.

(7)

How would you answer

these business dilemmas?

Business Issues

How do I predict future stock prices through twitter data, news data , intraday trading data ,consumer behaviour

data?

Which screenplay of the movie/show will give maximum number of views on

Youtube or TRPs on TV?

Which screenplay of the movie/show will give maximum number of views

on Youtube or TRPs on TV?

Will there be any fraudulent activity in our

hospital? If yes, how to prevent it?

Which industry/segment is yet to witness growth based

(8)

Enter Data Scientists

Data Scientist:

The

SEXIEST

Job

In The

21

ST

century

Harward Business Review, Oct 2012

A Business analyst is not able

to discover insights from huge

sets of data of different

domains.

Data scientists can work in

co-ordination with different

verticals of an organization

and find useful

patterns/insights for a

company to make tangible

business decisions.

INCREASE IN JOB POSTINGS FOR

DATA SCIENTISTS IN THE US

BETWEEN 2011-12

(9)

Growing Need for Analytics

Generation of Large Amount of Data

Availability of Better Tools and Technology

to Analyze the Large Data Sets

Generation of Large Amount of Data

from Business Transactions

Availability of the Large Data Storage

System at Lower Cost

(10)

Growing Need for Analytics (Contd.)

DATA

HARNESSING

Companies store

each piece of

information

generated during

the business

operations and

customer

interactions.

DATA VOLUMES

Data is generated.

Learning from the data

is used in the decision

making and process

optimization.

Data is analyzed.

2010

1.2

2012

2014

2.4

5

Volumes in Trillion GB

DID

YOU

KNOW

?

Generation of Large Amount of Data from Business Transactions

4 Billion

Number of

transactions

every year

900

Number

of Stores

Number

of SKUs

10000 -1 lakh

(11)

The Case for Business Analytics

The Business environment today is

more complex than ever before.

Businesses are expected to be

diligently responsive to the

increasing demands of customers,

various stakeholders and even

regulators.

Organizations have been turning to

the use of analytics.

More than

83% of Global CIOs

surveyed by IBM in 2010 singled out

Business Intelligence and Analytics

as one of their visionary plans for

enhancing competitiveness.

In most cases the primary objective of

an organization that seeks to turn to

analytics is:

Revenue/Profit growth

Optimize expenditure

SOLUTION

BUSINESS NEED

(12)

Types of Analytics

12

1

3

2

Analytics

Prescriptive Analytics

Descriptive analytics

Predictive analytics

Enabling smart decisions

based on data

What should we do?

Mining data to provide

business insights

What has happened?

Predicting the future based

on historical patterns

(13)

Types of Analytics

Prescriptive

Analytics

advice on possible outcomes

Predictive

Analytics

understanding the future

Descriptive

Analytics

insight into the past

Why do airline prices

change every hour?

How do grocery cashiers

know to hand you coupons

you might actually use?

How does Netflix

frequently recommend

(14)
(15)

Demand for Analytics Professionals in India

$ 1 Billion

Jan, 2014

$ 2.3

Billion

Projected for

2018

Analytics Market

$ 163

Million

Jan, 2014

$ 375

Million

Projected for

2018

Domestic Market

31,500

Jan, 2014

2,50,000

Projected for

2018

Job Openings

Source: NASSCOM

Salary Report

Experience

Salary in INR

0-2 Years

4.5 Lakhs

2-5 Years

5.8 Lakhs

5-10 Years

8.8 Lakhs

15 Lakhs

10+ Years

(16)

New Analytics Jobs By Industry

ANALYTICS SERVICES

BANKING

TOTAL NUMBER OF JOBS

PHARMA

Analytics Services and Pharma lead the pack in the highest percentage

of Analytics jobs being created in developing nations.

US

INSURANCE

OIL & GAS

COMMUNICATIONS TECHNOLOGIES

INDIA CHINA UK BRAZIL JAPAN SINGAPORE

11%

14%

39%

20%

14%

2%

38,700

31,500

30,500

7,000

6,200

2,400

1,300

54%

24%

7%

11%

3%

1%

25%

32%

8%

22%

10%

3%

9%

19%

32%

25%

13%

2%

14%

30%

11%

19%

23%

3%

6%

44%

27%

14%

8%

1%

9%

26%

24%

25%

9%

7%

(17)

Employment Landscape in India

Large IT

Companies who

have an Analytics

Practice

Analytics KPOs

In-house

Analytics Units of

Large Corporates

Niche Analytics

Firms

(18)

Global Clients

(19)

Career Options in Analytics

FIELDS IN ANALYTICS

TARGET AUDIENCE

• Data management

• Data Exploration

• MIS and report creation

• Automation of reports Segmentation • Customer profiling • Portfolio Analysis • Trend Analysis • Forecasting • Probability models • Classification and • regression trees Time series • models

• Neural networks

• Multi-layer Perceptron

• Geospatial models

• Associative rule learning

• Inductive logic programming

INDICATIVE JOB ROLES

KEY FEATURES

No matter what your educational background or aspirations,

you have a fulfilling career in one of the many fields of Business Analytics.

MIS

REPORTING NON-PREDICTIVE ANALYTICS PREDICTIVE ANALYTICS LEARNINGMACHINE

• BCom • B.E • BTech MIS Analyst Data Analyst Strategy Analyst Cost Analyst Data Scientist Statistician

Advanced Analytics–Team Manager Market / Global Research Analyst

Analytics Manager BCom • B.E • BTech • MBAs • • B.E • BTech

• MSc (Statistics)

• MBAs

• MCA

• B.E

• BTech

• MSc (Statistics)

• MBAs

(20)

Tools for Analytics

(21)

Why SAS?

The largest independent

vendor in the business

intelligence market

The De facto industry

standard for Clinical Data

Analysis

#

1

Market Leader

in Analytics

Used in

60,000+

companies in

over 135

countries

“Analytics powerhouse”

INTEGRATED PLATFORM FOR END TO END SOLUTIONS:

SAS provides an integrated set of software products and

services and integrated technologies for information

management, advanced analytics and reporting.

BUSINESS SOLUTIONS ACROSS DOMAINS AND INDUSTRIES:

Unmatched domain specific industry focused analytics

solutions

(22)

Base and Advanced SAS Certification

Certification in SAS (C-SAS) program thoroughly prepares you for successfully clearing two

internationally renowned certifications: Base SAS and Advanced SAS from SAS Institute.

SAS Certification credentials are globally recognized as the premier means to validate SAS knowledge. With a SAS Certification credential, you will set yourself apart from others and prove

that you have the SAS knowledge to make a difference within your

organization.

This exam tests candidates on: Importing and exporting raw

• data files

Manipulating

• and transforming data

Combining

• SAS data sets

Creating

• basic detail and summary reports using SAS procedures

Identifying

• and correcting data syntax and programming logic errors

Base SAS Certification

This exam tests candidates on:

• Writing efficient SAS code to solve complex problems in accordance with system specifications

• Using advanced DATA step programming statements and efficiency techniques

• Writing & interpreting SAS SQL code

• Using the SAS MACRO facility.

Advanced SAS Certification

Providing software solutions since 1976

(23)

Introduction to

SAS Programs

(24)

Components of the SAS System

Base SAS

Reporting

and

Graphics

Analytical

Visualization

and Discovery

Data Access

and

Management

Business

Solutions

User

Interfaces

Application

Development

Web

(25)

What is SAS Program?

DATA steps are typically used to create and update SAS data sets.

PROC steps are typically used to process SAS data sets (i.e. sort data, manage

data, generate reports and graphs and data analysis).

Raw

Data

DATA

Step

Report

SAS

Data

Set

PROC

Step

SAS

Data

Set

A SAS program is a sequence of steps that the user submits for

execution.

(26)

Files

Libraries

A

SAS data library

is a collection of SAS files that are recognized as a

unit by SAS.

SAS Data Libraries

Work Temporary library

Sashelp permanent library

(27)

&

Thank

You

For Your

Attention

References

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