2. DEFINITION
• BA is the combination of skills, technologies, application and
processes used by organizations to gain insight in their business
based on data and statistics to drive business planning.
• Artificial Intelligence is the simulation of human intelligence
processes by machines, especially computer systems which include
speech recognition and machine vision
• Machine learning is a scientific study of algorithms and statistical
models that computer systems use in order to perform a specific task
effectively without using explicit instructions, relying on pattern. It’s a
subset of AI.
• Deep learning is subset of machine learning in AI that has networks
capable of learning unsupervised data that is unstructured or
unlabelled. Which is also known as deep neural learning.
3. PROGRAMMING LANGUAGES
• R:It is a programming languages used for statistical computing,
graphics and also for data miners for developing statistical software
and data analysis, which is free.
• Python: It is an interpreted, high level, general purpose programming
languages supports multiple programming paradigms, including
procedural, object-oriented and functional programming.
• Julia: It is garbage collected, uses eager evaluation, and includes
efficient libraries for floating point calculations , linear algebra,
random number generation and regular expression matching.
• Scala and JS are other examples
7. MARKETING
• Business analytics will be useful in sales, research, manufacturing
product, advertising, promotion.
• It helps companies target customer needs by focusing their
messaging or timing of a certain product or service on what is best
for the consumer.
• Spss is a software platform used for statistical analysis used in market
researchers, health researchers, survey researchers, marketing
organizations and data miners
• SAS developed for advanced analytics , business analytics, data
management and predictive analysis
• Understanding the big data works allows marketers to predict
purchases, analyze customer behaviour and better understand the
people buying their product or service, how much to spend the
money, optimise the ROI.
8. HR
• Business analytics in HR can help predict the hiring needs of an
organization.
• Using Hr analytics, one can predict the skills and positions which
are needed to improve the business performance.
• Big data refers to the use of many data sources to evaluate and
enhance practices including recruitment, training and
development, performance, compensation and overall business
performance.
• Analytics can help manage the and analysis the employee data,
new hiring information, reason behind people leaving the job
etc.
9. FINANCE
• It helps to set the goal for business, taking financial decisions,
improve the profitability, cash flow and value of your business.
• Analytics also helpful for providing the information about
investors, fund raisers, government agencies in analysing the
taxation owed to the firm.
• It also helpful for estimating the revenue of a particular product
of a business, employee salary of an organisation, to increase
business revenue, minimize the waste of the business.
10. OVERALL BENEFITS
• To make faster reporting analysis or planning.
• To make business decision.
• To improve data quality.
• Helps to develop marketing campaign
• Helps to use predictive insights to take action
• Taking historical data and forecasting for future.
