Note that I did not write Data Scientist or Business Intelligence Expert. This is because this post is meant for those who plan to join the field with no former experience.
To become a Data Scientist or Business Intelligence Expert, you have to learn the basics of handling data first.
Here comes a starters list:
- You need to understand the basic business metrics and KPIs – What data is currently used for.
Check basic KPIs for different branches and learn to the intended purpose of the measurements. Most data collected today is used for Descriptive analysis, i.e. looking back at what has happened. To start the journey towards BI and data expertise, you need to understand the basics of BI today. Some suggested books are in the above image – BI recommended beginners reading.
2. Next step is to understand how the data you are collecting today will be used in the future. This will give you invaluable insight into what data you need and how the solutions need to be designed to deal with future analysis needs.
In any career, you need to be strategic. All businesses want to utilize their data for strategic actions and competitive advantage. A big part of this understanding how customers will or may act in the future. Based on customer behaviour today, what will they need in, say – one year, two years etc.
3. Learn the basic techniques and methodologies of handling, processing and analyzing data.
Most of these are well described in Kimball’s Data Warehouse tool kit which has been invaluable for me. I still re-visit it, when a difficult problem arises and I have forgotten exactly how the syntax or logic should be. SQL and data modelling techniques are globally useful and a good base to build you data expertise on. Please refer to the above image – BI recommended beginners reading. Additionally, there are numerous online resources so you are spoiled for choice! Just find something that works for you in the learning process and keep learning.
Feel free to make contact with questions or input! And leave comments with your own suggestions below.