Financial modelling is the process of creating a summary of a company's expenses and earnings in the form of a spreadsheet that can be used to calculate the impact of a future event or decision.

A financial model has many uses for company executives. Financial analysts most often use it to analyze and anticipate how a company's stock performance might be affected by future events or executive decisions.


  • Financial modelling is a representation in numbers of some or all aspects of a company's operations.
  • Financial models are used to estimate the valuation of a business or to compare businesses to their peers in the industry.
  • Various models exist that may produce different results. A model is also only as good as the inputs and assumptions that go into it.


Equity Research primarily means analysing the company’s financials, perform ratio analysis, forecast the financial in excel (financial modelling) and explore scenarios with the objective of making a BUY/SELL stock investment recommendation. Equity Research analyst discusses their research and analysis in their equity research reports.


Although they may seem the same, names in industry and industry have slightly different meanings. An industry refers to a specific group of companies or businesses, and the term sector refers to a large part of the economy.

Sector terms are often used interchangeably to describe a group of companies operating in the same economy or sharing the same type of business. The word sector usually refers to a large, normal part of the economy, while the word industry refers mainly.

These two words are sometimes postponed. But the general idea remains: one divides the economy into a few common parts while the other divides those specific business activities. In the stock market, commonly accepted terms cite industry as broad divisions and industry as straightforward.


Investors who use the analysis of the sector believe that certain sectors of the economy perform better in different stages of the business cycle and that identifying these sectors can help them make a profitable investment.

The move to the top is a form of sectoral analysis that initially focuses on major economic factors that impact the economy, such as unemployment and inflation.

Investors who use the stock exchange system shift their investments from one sector to another, depending on the market cycle and trends that contribute to the potential profitability of the various sectors.



Digital transformation has persuaded almost every industry to understand the importance of Data Analytics. With the growth of data production, the term “Data Analytics” has gained its prominence by helping organizations take decisive  action. Our Data Analysis Guide will help you understand the internal data of Analytics and your value in today's world.

Data Analytics not only retrieves historical data but also helps predict future results and improve business processes. As the entire organization strives to drive data, Data Analytics helps the entire industry to thrive, as it helps metrics to help companies achieve their milestone.

This Data Analysis Guide provides a comprehensive frame work for Data Analytics. It also describes the types, processes, and tools involved in performing the Data Analysis. Finally, our Data Analytics guide will inform you of the application and job details to grow in the Data Analytics field