Big firms should put big budget in running big data projects. Why not? Experts say that big data offers a lot of great opportunities for businesses. Data is undoubtedly something that every company has to pay attention to. Before you get in the larger scope, it is important that you are able to write data analysis well. Here are some important things that you have to consider.
1. Acknowledge your tests and testing processes. Clarify all of the tests you performed and why you performed them. This part is very important for it is going to redefine your goals.
2. Explain how you gather the data. It is very important that you are able to explain how you collect your data and the measures you took to make sure that your ways of collecting data are objective and accurate.
3. Make graphs and charts. Visual presentations are the best ways to show the results of your tests. It can be a pie chart, scatter graph or other visual aid to illustrate results. You need to make sure that the visuals are well presented and are appealing enough to capture the attention of your audience.
4. Come up with your collusions and then present how they differ. You also need to explain very well what the results mean and why they are important and how you can compare those to previous studies or similar experiments.
5. Make a list of your sources.
6. Define your sample set. The readers or audiences have to understand that the sample set for your study so you need to explain to them very well why you selected this as your "ideal" for the presentation.
Data analysis is not easy. It takes a lot of experience to master it and claim that you are already good at it. Now the good thing is that innovative solutions make it possible for log analysis platforms to have built-in integration to the many applications and a virtualized dynamic infrastructure. Incorporation with Amazon and Google clouds helps to quickly bind cloud data for intelligence, monitoring, and security. Data analysis may be complex but with the right solutions that you should embrace, you will realize how much more there is to learn and improve. That is the good part. You are always learning and growing in your IT operations. Everything has to start on how you present your data.