Let’s have a chat about Data Analysis, shall we?
Over the past few years, I have run a few dozen data analysis and sent out a lot of reports. If I had to define it in my own word, I would say that it is the process of answering complex questions and presenting it in a way that is understandable to whomever the report is for.
For a more formal definition, Wikipedia defines data analysis as a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. The formal definition is a great overview of the task that I am performing on a daily basis.
What industry do I work in?
I have done most of my projects in e-commerce and marketing but I worked in other industries too such as sports, bioinformatics, and even ecology.
Most of the time, the data analysis process is the same, but the insights are different. The art of data analysis resides in how you apply those set methodologies to extract valuable and relevant information to you, regardless of the industry you are working in.
Here’s how a project typically goes?
1. Meeting and discussion about the project.
Here, I will gather all the information required to understand the problem and to have a brief idea on how to solve it. It will get me familiarized with the problem, with what you are trying to do, with what’s important for me, and it will give me an idea about what value I could add.
2. Gathering the information and data required
Once we have established the project requirements, I usually take 1-2 days depending on the project, to sort of establishing where the data is going to be sourced, what tech is going to be required, and I will come back to you with a proposal.
3. Performing the analysis
If everything is set I would then perform the analysis. The steps of the analysis are data collection, data transformation, insights/information extraction, and data visualization. Everything is written in a report. While doing the analysis. I will always keep in touch with you at least once a week. This weekly contact will give me the opportunity to update you on how the project is going.
4.Delivering the project.
At the end of the analysis, I will send you the deliverables as we agreed in our initial meeting. Examples of deliverables are a written word/pdf report (most of the time), a dashboard, Jupyter notebook, markdown, etc. I have worked with a fair share of reporting tools, so I am comfortable providing you the results in a format that is adequate for you.
If you have made it this far … Thank you.
I really value the relationships that I build from this platform. And, I hope that It can be a valuable resource for you.
I am really good at applying principles in data analysis, data science, data mining, or machine learning for small and mid-sized businesses. So if you are here because of that, do not hesitate to reach out.
Shoot me an email at email@example.com if you have any questions. I would love to hear from you.
If you are looking for something to read, you can start here. Here’s my best content.
I have helped a lot of people make sense of their data and make data-driven decisions.