As competing cogs in one of the fastest-growing industries within the technology sector, data analysis companies are constantly vying for ways to transform raw SQL queries into impactful visualizations faster and more reliably. Suffice to say, visualization is quite an in-demand skill in today’s increasingly complex world of data. While this may sound trivial to outsiders, analysts know this is often anything but straightforward.
Data analysts and software engineers spend time trawling and filtering multiple data sources before getting data ready for the moment of truth—visualizing it. Data visualizations are the culmination of all data crunching work—they’re supposed to take long numeric lists and complicated KPIs and present them in an intuitive, easy-to-understand way. That is, if you choose the right visualization tool for your data.