The document discusses business analytics and the role of a business analyst. It defines key terms like business analytics, data analytics, business intelligence, big data, data science, and data mining. It describes the skills required of a business analyst like understanding the business, basic statistics, Excel, and some analytics tools. The duties of a business analyst are to understand business problems and use data to help decision making. The document also lists some common business analyst job titles and roles.

1. RAMAKRISHNA N
NITTE SCHOOL OF MANAGEMENT ,
BANGALORE .

2. • The worldwide business
analytics software market is expected to grow at
a 9.7 percent compound annual growth rate
(CAGR) through 2017, according to a new
forecast from International Data Corporation
(IDC).
• Business Analytics Market worth $66,719.8
Million by 2019
CAGR : compound annual growth rate

4. • The average pay for an Entry-Level Business
Analyst, is Rs 493,348 per year
Source:
http://www.payscale.com/research/IN/Job=Business_Analyst%2c_I
T/Salary
A Senior business analyst with 3 to 5 years of
experience would get anywhere ... Be
commanding a salary in the range of
Rs. 12 to 20 lacks per annum.
• http://analyticstraining.com/2011/salaries-in-analytics/
• http://www.naukrihub.com/salary-in-india/analyst.html
• http://analyticsindiamag.com/analytics-india-salary-study-
2015-by-aim-great-lakes-institute-of-management/

5. Terms
• Business analytics
• Data analyst
• Business Intelligence – Artificial Intelligence
• Big data
• Data Science
• Data Scientist
• Data mining
• Machine Learning

6. Business analytics (BA) is the practice of
iterative, methodical exploration of an
organization's data with emphasis on
statistical analysis.
Business analytics is used by companies
committed to data-driven decision making.

7. • Data analytics (DA) is the science of examining
raw data with the purpose of drawing
conclusions about that information.
• Data analytics is used in many industries to
allow companies and organization to make
better business decisions and in the sciences
to verify or disprove existing models or
theories

8. Difference between BA & DA
• BA : Tasks assigned to business analysts include assessing the
requirements of the organization with respect to its operations and
functions. The analysts then translate the requirements to physical
and financial aspects, such as software and hardware specifications,
and often help find the best financing options
• DA : The main tasks of data analysts are to collect, manipulate and
analyze data. They prepare reports, which may be in the form of
visualizations such as graphs, charts and dashboards, detailing the
significant results they deduced

9. Business intelligence ( BI ) : is an umbrella term
that refers to a variety of software
applications used to analyze an organization's
raw data.
BI as a discipline is made up of several related
activities, including
• data mining
• online analytical processing
• querying and
• reporting.

10. • Big data : Extremely large data sets that may
be analysed computationally to reveal
patterns, trends, and associations, especially
relating to human behavior and interactions.
• big data, the voluminous amount of
structured, unstructured and semi-structured
data that a large enterprise produces.

11. • Data science : is an interdisciplinary field
about processes and systems to
extract knowledge or insights from data in
various forms, either structured or
unstructured or semi structured .

12. Data scientist : is a job title for an employee ,
who excels at analyzing data, particularly large
amounts of data, to help a business gain a
competitive edge.
• A data scientist possesses a combination of
analytic, machine learning, data mining and
statistical skills as well as experience with
algorithms and coding.

13. • Artificial Intelligence the theory and
development of computer systems able to
perform tasks normally requiring human
intelligence, such as visual perception, speech
recognition, decision-making, and translation
between languages.

14. Data mining : is the process of
analyzing data from different perspectives and
summarizing it into useful information.
• The practice of examining large pre-existing
databases in order to generate new
information.

15. Machine learning provides computers with the
ability to learn without being explicitly
programmed.
• Machine learning focuses on the
development of computer programs that can
teach themselves to grow and change when
exposed to new data.

16. BENEFITS : Business Analytics
• Analytics helps you measure how much of
your mission statement is accomplished
• Analytics Encourages Smart Decision-Making
• Analytics Provides Clearer Insights Through
Data Visualization
• Analytics Keep You Updated
• Analytics Offer Efficiency

17. Who is a Business Analyst?
A Business Analyst is someone
• Who combines analytics knowledge with
strong domain expertise.
• Focus on the business problem or an
opportunity.
• At the same time, they have enough analytics
knowledge to be able to drive most kinds of
analyses on their own.

18. What are the skills required to be a
Business Analyst?
• Business Analysts don’t need to be expert
programmers. They don’t need to know very
advanced statistical modeling. However, they
need to know a little bit of everything.
• Business analysts need to have a good
understanding of the business and/or domain
they are in.
• They need to understand basic statistics and have
knowledge of simple analytics techniques
including basic predictive modeling.

19. • They are expected to, of course, know Excel.
Knowledge of more specialized analytics tools
like SAS or R is an added bonus.
• Business analysts are hired not for how well
they know a tool, but rather how well they
can understand a business problem or
opportunity and use data to come up with a
decision.

20. BA Roles/Titles
Business Analyst
Business Process Analyst
IT Business Analyst
Requirements Engineer
Business Systems Analyst
Systems Analyst
Data Analyst
Functional Architect
Usability/UX Analyst
Equity Analyst
Credit Analyst
Technical Analyst
Risk Analyst
Insurance Analyst
Financial Analyst
Credit Risk Analyst
Statistical Analyst

22. To become Business analyst what you have
to do ?
What is the process ?
Which softwares/tools required ?

23. Fundamentals of statistics
and Probability
Excel
MY SQL
DBMS
R
Python
SAS
Big Data
Machine Learning

24. In Further presentations Above mentioned
softwares/tools content will available .
• For any queries related Ppt please contact :
RAMAKRISHNA N
Gmail : Ramakrishna.pgdm@gmail.com
Facebook : Ramakrishna BE PGDM
Linkedin : Ramakrishna BE PGDM
Quora.com : Ramakrishna BE PGDM
Thank you
My initial attempt on Business analytics to give awareness