Business Analytics with Big Data : A Complete Guide

What is the future of Business analytics? What development in the world support your decision?

Know about things we are going to learn in this section.

Why Business Analytics has so much importance? Let us have an overview.

Business Analytics can be applied in varied businesses for informed decision-making. It can be extensively used in market analysis, consumer behaviour, social network, financial data analysis, crime detection departments, medical sciences, network and cyber security, retail and supply chains and many more areas. This lecture explains all about applications of Business Analytics.

The term ‘analytics’ in Business Analytics provides insights into obtaining, describing, visualising and using data for making right decisions and combating uncertainties. BA can be used for speeding up the decision-making process, reducing the margin of errors and gaining control over business processes. In the lecutre we will understand the benefits of Business Analytics.

During the 19th century, Frederick Winslow Taylor , known as the father of scientific management, initiated time management exercises to improve business efficiency. BA has been used since then in businesses for effective and measured decision-making. However, analytics became more prevalent when Decision Support Systems (DSS) were used for making decisions. BA evolved with the advancement of hardware and software tools and applications such as Enterprise Resource Planning (ERP) systems and data warehouses. In the lecture we will understand how BA has evolved over the period of time.

Business Analytics has evolved. There are many phases audience must be aware of. This lectire discussed on those phases in detail.

Within Business Analytics there are manu types catering various requirements of the organization to make informed decisions. This lecture deals with all of them.

What you learn in this section and what is the key take away at the end of this course?

Business Analytics has become an important component required for the overall success of most modern businesses. Organisations cutting across varied business domains are realising the increasing benefits from analytics. This lecture provides an view on how it is benefiting business with practical examples.

To avoid data to remain just a document of facts, the accuracy of data matter as lot of informed decisions in the organizations will be taken based on that. This lecture deals with all about importance of data.

wWth vast repositories and databases, it may be an overwhelming task to dig out and make effective use of the available data. Unlocking the insights with the help of IT solutions in the key. This lecture talks about the same.

This lecture critically analyses the advantage of Business Analytics with practical use cases from real world.

Adopting a Business Analytics solution? Implementing a Business Analytics solution? - there needs certain important necessary paramters in the solution. This lecture talks about it.

This lecture briefly gives agenda for this section and about take away at the end of this section.

This lecture talks about how Data transforms into infrmation and finally into knowledge. It also staes stages data goes through before it becomes information.

Data quality in any organization has key influence in Insights and informed decision making. Lecture throws light on reasons behind poor data quality, source of data quality problems. Lecture also discussed benefits of high quality data. 

Data quality is an important activity and Data cleaning is a pre requisite. This lecture talk about steps of data cleaning

The term “maturity” describes the degree of formality and optimisation of a competency. Lecture talks in detail on stages of data maturity and details associated with it.

Lecture talks about the agenda of this section and key take away from various lectures. 

 Business analytics refers to the techniques and statistical methods used by companies to evaluate their performance while business intelligence refers to the use of computing technologies for identifying useful business data. This lecture details out differences between two.

Data mining refers to the identification and discovery of useful relationships in data. This lecture talks about process of Data mining and types of Data mining

Data Mining has several benefits to Business and society. This lecture talks about details of benefits with certain examples.

You will come to know what you are going to learn in this section.

This lecture talks about the history of Big Data and examines in detail the charecterisitcs of Big Data. Very important in understanding what is Big Data.

What are the driving factors of huge information growth? What are the causes - lecture explains in detail.

Data Growth has many primary reasons. This needs to be understood and monitored as well as tracked. This lecture talks about it.

Big Dats offers tremendous opportunities to the enterprise to extract deeper Insights. However, it suffers certain challenges too. This lecture details both sides in a detailed way.

This lecture details out Significance of BigData analytics in the Business perspective. You will learn how this has an influence in making informed decisions in day to day operations and how that will make an impact on company's bottomline,

Social Media Analytics is a Very intersting subject. In this lecture we are going to see what we are going to learn in this section.

This lecture introduces you to social media analytics. It talks about various social media prominently used by Business to take full advantage and explains about the growth of social media. 

Lecture talks about the need of social media Analytics in the present world. Systematic approach is made to understand this.

Social media analytics has become the mainstay of today’s marketing mix and the main source of information for analysts. Lecture talks about goals of having social media anlytics.

Social media has proved to be a game changer for most organisations who have leveraged this tool to reach out to existing and potential customers. Let us see how it has played a role of game changer in this lecture.

Social media analysis must focus on organisational goals and devise methods to accomplish them effectively. To achieve this entire deployment of Social Media analytics must follow a process. This lecture discusses the same.