Beyond the Surface of Spreadsheets
Rather than having to choose between spreadsheets as a code-free option or learning SQL, R, or Python, self-service data analytics gives you the power of code without the learning curve.
If Excel is known for gridded rows and columns, self-service data analytics platforms are known for their long-connected strings of functions and tools.
Secrecy, of course, is the opposite of understanding and transparency, because when you can’t easily trace your work, it’s easy for mistakes to have a waterfall effect, compounding risk and the effect of human errors.
If you have quarterly, monthly, or weekly reporting, rather than going through the same tedious cleaning and analysis each time, you can schedule the workflow to pull the necessary data and crunch through everything while you’re asleep.
In the age of Big Data, you need technology and processes that can grow with your ever-expanding data-sets. For many data professionals, that’s currently not the case.
Check out our full cookbook, “7 Steps to Successful Data Blending for Excel,” and get some great recipes for transferring your spreadsheet into more robust, repeatable self-service analytics.
Chat with us at @alteryx about your biggest spreadsheet pain points and meet the Community who pioneered some pretty powerful solutions.