A Business Automation Platform is a general purpose platform for automating recurring reports. The goal of the platform isn't to automate any single business process, instead, it's goal is provide end users with the tools they need to automate their own repetitive workflows. For business users,

Python is the go-to language for data science. While Excel is currently the most used tool for data work, Python is quickly replacing it, and there’s a rush to help existing analysts and business users of Excel learn Python. At Mito, we’ve helped run Python trainings at bulge

Recon process updates internal records used to pay insurance agent's commission This medicare agency's (MA) team of insurance agents advocates on behalf of the customers to help them sign up for the right Medicare plan. Those insurance agents get paid commission over the lifespan of each

1. Using single equals sign (=) instead of double equals sign (==) for checking equality: In Excel, a single equals sign checks equality in formulas. For example, the formula =IF(A1=B1, "Equal", "Not Equal") checks if the values in A1 and B1 are the same. In Python,

We're always on the hunt for tools that improve our efficiency at work. Tools that let us accomplish more with less time, money, and resources. We launched Mito three years ago to help analysts write Python code faster. And even with Mito's limited functionality at the

I used Mito to automate a critical monthly reporting process that is sent to the C-suite. This was my first foray into Python, but I’m now Python-literate, and have continued to automate other manual reporting processes throughout my team. Greg, Analyst in Wealth Management at large North American Bank

The Mito report process will end up saving my team and I countless hours during the year with the ability to take complex reporting data and turn it into useable information for our Stakeholders. We’re able to automate complex reporting structures. Now we can easily run a script to

Citizen data scientists are becoming more essential than ever to organizations that rely on data. If you’re a citizen data scientist or an organization that is looking to upskill your team members, there are some great tools out there for taking their data science skills to the next level.

Analysts at the world's top banks are automating their manual Excel work so they can spend less time creating baseline reports, and more time building new analyses that push the company forward. These report automations often live in Jupyter Notebooks and use a combination of SQL and Python.