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Modern businesses want to increase their reach to everybody in the world. This is because they are striving to increase their efficiency, and profits. So how can companies achieve this? The solution lies in digital transformation. Digital transformation is the integration of digital technology into all areas of businesses. It changes the operational ways of an organisation as well. Now we know that digital transformation is necessary for increasing the company's efficiency. Yet it simply won't be icing on the cake. Because companies have to face some challenges before enjoying the benefits that digital transformation brings. Today's article will discuss the major challenges when it comes to digital transformation.

Selection and planning about careers are the vital steps that make an individual life easy to get dreams true. Guidance and support from experts can assist individuals in this purpose. Without authentic information and tests, a man cannot select a job or course. There is a need for the institute, valid data and opportunities to make career plans. In this way, National Careers Service is a public organisation that provides these services in England to reduce the issues of opportunities for career selection and training. Through this public service, it is possible to save oneself from fraud and scams.

Data collection refers to the process of gathering data through interviews, questionnaires, surveys, experiments and focus group discussions. However, when the data size is large, researchers need to use systematic data gathering techniques. Systematic data gathering techniques are structured and organised ways of collecting data. It allows the researchers to collect large amounts of data through a proper methodology. This article will tell you about systematic data gathering techniques that you can use in your research.

The data analysis method is extremely important as it turns the dataset into a scientific story. It also interprets data to extract conclusions. To put it in another way, data analysis is the process of reducing large chunks of data into smaller but meaningful fragments. Whatever the purpose of your research will be, steps necessary for conducting data analysis remain more and less similar. It always starts from the organisation of data, passes through summarisation, and ends with categorisation. It explores the relationship between different variables. Also, it helps create a final meaningful story describing an event, problem, or solution to the problem under study. This article will discuss a similar data analysis method (content analysis) for the analysis of characteristics of physical items.