In-Brief
- Statistics for business analysis in business enables executives to analyze past performance, predict future business practices and lead organizations effectively. Statistics can describe markets, inform advertising, set prices and respond to changes in consumer demand.
- Primary data collection helps to collect data through experiments, observation, surveys, and personal interviews. Secondary data information is previously collected and readily available from other sources.
Introduction
The automotive industry comprises a huge range of organizations and companies involved in the development, design, marketing, manufacturing, and selling of motor vehicles. It is one of the world’s major industries by revenue. It does not comprise industries dedicated to automobiles’ maintenance following delivery to the customer, such as motor fuel filling stations and automobile renovation shops.
India’s automobile industry is the world’s fourth-largest, with the country currently being the world’s fourth-largest manufacturer of cars and seventh-largest manufacturer of commercial vehicles in 2018. Two-wheelers dominated the industry and made up 81 per cent of the share in the domestic automobile sales in FY19. Overall, Domestic automobiles sales increased at 6.71 per cent CAGR between FY13-18, with 26.27 million vehicles being sold in FY19. The Indian automobile industry has customary Foreign Direct Investment (FDI) worth US$ 23.51 billion between April 2000 and September 2019.
Data analysis question to improve your business:
Exact Requirement:
Find out the exact requirement. It is good to evaluate the well-being of your business. The first and foremost step is to find out the goal and what decision making it will facilitate. This blog helps you delve deeper into more specific insights you want to achieve in business.
Here some of the key question to ask while analyzing data, which help in designing a strategy to develop your company,
- Frame a specific question as much as possible. The more specific the research question, the more valuable the answer is for the company’s development.
- Instead of asking the question directly, it is sensible to frame a need and create a reference and ask the question accordingly. To get valuable responses from the end-users, this can be used for Data analysis purposes.
Data Sources:
Chosen out some data analysis questions and use found KPIs (Key performance indicator) to measure them. The next step is to determine the data sources you required to dig into all your data, select the fields that you’ll need, leaving some space for data you might essentially need in the future, and collect all the data in one place. Always open-minded about your data sources in this step – all departments like company, sales, finance, IT, etc., have the potential to offer insights.
Don’t worry if you feel like having the abundance of data resources makes things seem complicated. The next step is to “edit” these resources and make sure their data quality is up to par, eliminating some of them as useful options.
If you have gathered and created a rough draft, you can use CRM (Customer Relationship Management) data. These data can be from things like Facebook and Google Analytics, financial data from organizations. For this, you need to a wide imagination, as far as the data source is related to the question you’ve determined in the first step. The next step concentrates on utilizing business intelligence software, especially datasets, since datasets in modern days have extended in a volume that spreadsheets can no longer offer fast and intelligent solutions to acquire a higher quality of data.
Data Analysis Services permit industries to get their data collected, processed and presented, to form actionable insights and also help in avoiding unwanted investments in the development and administration of an Data analytics solution.