As the business landscape continues to be governed by big data, it is essential that you enlist help from analytics professionals to help propel your venture to greater heights hassle-free. After all, they fulfill the demand for technical expertise by wearing the hats of both developer and analyst. Skimp on this and you might struggle to give your competitors a run for the money.
Considering the role played by business analysts in the smooth running of your company, you need to be sure that you’re working with the best in the field. No wonder having both a conceptual and working understanding of tools and programming languages is one of the skills you should look for in prospective hires. With that in mind, here are some of the top tools for business analytics professionals.
SQL
SQL is the coding language of databases and happens to be one of the most important tools in an analytics professional’s arsenal. This is because they make use of SQ queries to extract and analyze data from the transactions database. It is then that they are able to develop visualizations to present to stakeholders. Luckily, most institutions that offer business analytics courses Singapore teach students how to use this tool.
Statistical Software
Although the ability to program is essential for a career in Business analytics, writing code isn’t necessarily required to work as an analytics professional. For you to build a successful analytics career, you need to understand more about statistical software such as SPSS, Sage, SAS, and even Mathematica. These software will come in handy when managing and analyzing data.
Statistical Languages
If you’ve done your research, then you may already know about the two common programming languages relied upon in analytics i.e., R and Python. R is specifically set aside for statistical analysis whereas Python works for general programming. Knowledge in either of these statistical languages will prove beneficial when analyzing big data sets, but is not vital.
Final Thoughts
Before hiring analytics professionals, ensure they posses these and other technical skills for business analytics. You don’t want to end up with a wrong hire as they may fail to help you attain business success no matter how hard you try. That is something you never want to make do with at any given time. So, what are you waiting for before you hire great analytics professionals.
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Can you be more specific about the content of your article? After reading it, I still have some doubts. Hope you can help me.
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