BigML for Google Sheets Endorsed as Outstanding Add-on

The good folks over at the innovative web application integration and event based automation startup Zapier have recently prepared a comprehensive list of Top 50 Google Sheets Add-Ons to Supercharge Your Spreadsheets. We were flattered to find out that they listed BigML for Google Sheets (aka BigML-GAS) as a top add-on for “number crunching”.

Like all of our BigML-Tools, BigML-GAS is super-easy to use and it is a great way to expose your predictive models externally to your workgroup or other partners regardless of their experience with Machine Learning. For example, imagine that you have a model predicting the likelihood of a prospect to become a customer based on your historical sales pipeline results.  Your Field Sales team that may collect data on prospects can easily score each of their prospects without needing a BigML account of their own or knowing anything about predictive models or Machine Learning for that matter! The beauty of it is that you need no complex IT integration with any CRM tools to get going with such a use case.

But, why stop there? With a vast ecosystem of apps, Google Sheets offers users a wide array of options to piece together functionality without relying on programming skills or internal developers. Besides BigML-GAS, there are other noteworthy add-ons for the analytical minded; in case they decide to get serious about automating the gathering and analysis of data in Google Sheets as well as implementing new processes based on the resulting actionable insights. Here are a couple from Zapier’s eBook:

• Blockspring: Let’s you import and analyze data with APIs. For example, you can extract pricing data for your competitors’ products from Amazon API. Once you import the data, you can analyze it manually or on a schedule.
• Aylien: This is a great add-on for text analytics tasks such as sentiment analysis. For instance, you can pull in Tweets about your products and analyze their sentiment scores to see which ones are being received more favorably in which geographies.
• import.io:  With this service, you can turn any website into a spreadsheet. If you would like to augment your Sheet with data from external sites, use this handy tool to scrape the data and infuse with what you have. import.io is Free for up to 10k queries per month.
• Geocode by Awesome Table: This add-on helps you get latitudes & longitudes from addresses in a Google Sheet to display them on a map that you can share.

In the coming weeks, we will present some interesting use cases that leverage the Google Sheet ecosystem along with BigML. In the meanwhile, do you have cool idea that you have already implemented on BigML? Are you planning to extend to Google Sheets with BigML-GAS?  If so, let us know and we will present it on the BigML blog to spread the learning.