1. Basic process on how we transform data into actionable insights
2. Examples of several different demand related analytics
The process to convert raw data into actionable analytics might seem intimidating at first, but the process is pretty straight-forward once you understand the main steps.
And this process can be easily modified to fit any business no matter the size or complexity.
Below you will experience four purpose-built examples of brewery analytics; each will provide different levels of insights into your business. They use real (but slightly modified) data from Taproom and Wholesale transactions systems (Square and Quickbooks respectively, but these would interact just as well with data from any other systems), so you can envision how they would work for your brewery.
Please view the video on each for a deeper understanding.
High level and insightful analytics to overall demand for brewery using combined taproom and wholesale data.
Use this to see business performance across periods and what segments are doing well or need more focus
Quickly find opportunities to take advantage of or risks to mitigate
Detailed performance analytics for flagship and individual beers.
Use this to understand performance of each beer and deep dive metrics to find actionable insights.
High-level overview of different customer segments and detailed performance analytics for individual customers.
Use this to understand all the customers we sell to and deep-dive individual customers to gain actionable insights
Understand previous day and recent demand trends in taproom and see how our tap coverage has been over time.
Use this to understand taproom how the taproom is operating and how we have done with the various beers on tap.
Our pricing model is flexible to allow us to add value at any investment level; starting at around $1,000 for a year.
The main components are as follows and the pricing varies based on the complexity and capabilities:
We also offer Analytics Assessment / Strategy Development and Team Enablement and Training to help build a holistic analytics program