FAQ on Data Analytics and SAS

What is analytics?

The purpose of analytics is to take existing data collected from either a single source or

multiple sources and use it to arrive at the optimal decision. Essentially, analytics can be best

defined as a science of analysis. This is most commonly used in situations where realistic

judgments are necessary. Past experiences collected and rule of thumb concepts can be added

to the data to create a qualitative aspect of decision making. However, without adequate data

sources culled from various factors of real information, the determination cannot be said to be

made with the concept of analytics.

Commonly, one of the most frequent uses of analytics is in the field of business. Managers or

researchers for an analytics company can use various data mining techniques combined with

historical patterns to make predictions about the performance of a particular market or

business. This is usually done in an effort to improve an already existing model of operations.

Mathematics are highly important, with determinations being made through graphs or sheer

numbers.

What is SAS?

SAS or Statistical Analysis System is provided by SAS institute, headquartered in North

Carolina, USA. It’s an integrated system with software modules which are designed for

business intelligence (BI), Customer Relationship Management (CRM), IT and financial

Management and many more. The main purpose of SAS is to collate, manipulate and present

data. Hence, it’s also widely popular as a data and statistical analysis tool. One of the major

advantages of SAS is that it’s highly compatible in many computer environments, making it

suitable to be used for different purposes all over the world.

SAS business solutions help the organizations in transforming enterprise data into strategic

information which in turn will help in the increased performance of the enterprise. Its

products range from Business Analytics, CRM, and Data Analysis to Performance and Risk

management.

SAS can be used across industries and large to small, medium enterprises. Say for example,

the use of SAS Enterprise solution in the Insurance world will ensure better forecast of

business trends, provision of insurance data models which will ensure that the main enterprise

systems are integrated. Also, SAS business solutions provide a business intelligence

framework to ensure an end-to-end solution for data integration, manipulation and storage.

Some of the major solutions offered by SAS software are given as follows:

a) SAS Analytics - Analytics provides the basis for

Data mining – the huge volumes of data is synonymous to each and every

organization and to mine to find trends and setup data models is part of the

solution provided

Data categorization – Automatically categorize huge amounts of content

based on set business rules

Forecasting – Analyze the patterns and predict the trends

Quality Improvement – monitor, implement and improve the business quality

processes.

Statistics – Use statistical models to arrive at strategic information.

b) SAS Business Intelligence - provides the organization the ability of analyzing and presenting

the data. It has the unique integration with Microsoft Office tools so as to make it more user

friendly in accessing, gathering and manipulating the data.

c) SAS CRM comprises of the various sub modules such as

Customer experience analytics – data collection, analysis and presentation

especially in graphical manner to understand the customer requirements better

Marketing Analysis – impact of the marketing investments and the bottom

lines can be investigated

Resource management – includes the planning, budgeting and performance

management of the marketing initiative

Decision management – provides real time decisions based on the data

collected on the various media.

d) SAS Performance Management provides a holistic view to the cost control initiatives,

understanding the business drivers, identifying the business and process risks and how to

manage them as a whole.

e) SAS Supply Chain Management provides valuable insight to a company’s customer

management, demand forecasting models, supply networks to effectively achieve business

objectives.

The solutions given above are only a subset of the business suite provided by SAS. Even

though SAS is more widely known as the statistical analysis software, it can greatly enhance

the workings of an organization from all modules, departments and systems and help in the

progress towards its business and strategic objectives!

What will be the Placement Assistance?

After successful completion of the course student will be provided with the job alerts from

the institute for next 6 months .

Who all can do this course?

Any student of UG/PG in Statistics, Economics, Maths, Business Management, Commerce,

Engineering.