Alyson Murphy is the in-house Senior Data Architect at Moz. She works with stakeholders to build a data solution that help Moz make data informed business decisions. Sean Work runs the blog at KISSmetrics.com. He’s been with the team since 2010.
We consolidated key data that was routinely used for analysis onto one reporting server. We then funneled key pieces of data into our web analytics solution so that there were fewer places to have to look for data when it was time to do an analysis.
We used to use email to get and prioritize projects. We shifted to Trello which allows us to have templates to ensure request quality and to be transparent about when certain projects will be worked on.
Where to Focus 2
Then we may branch out into orange and other colors.
But that’s all it is, a series of colors.
It’s not until much later that we start to see the entire picture. Where to Focus
In reality, your ball probably looks like this.
Goal 1: Build the Minimum Viable Ball
Components of a Data System There are 6 main areas of focus for building a successful and scalable data system.
Data Infrastructure Consolidating your data sources will make analysis easier and quicker which is important when you start adding people to your team.
Data Integrity Data Infrastructure and Data Integrity are perhaps the most important places to start because decisions in these areas waterfall into the other areas of your Data System.
Data Access and Visualization Data Access and Visualization is key as your company starts to grow. The goal is to make the data as easy to access as possible for people who have the skills to fish for their own data..
Infrastructure Change Process When you are in startup mode, everyone might have access to do what they need to do quickly to implement the changes they need to make. In a small organization this works out because everyone knows what everyone else is working on.
Goal 1: Build the Minimum Viable Beach Ball
To optimize the system, you may have to sub-optimize the subsystem.
Over COMMUNICATE what sections you are working on (helps with buy-in)
Ways to get buy-in
Pre-Research Buying Decisions
Data Infrastructure Data Integrity Data Access & Visualization Components of a Data System Infrastructure Change Process People in your Org Data Utilization Process Changes
In order to re-evaluate the KPI’s we look at, we had a collaborative meeting where each of the groups came up with a dashboard. We then looked for areas where we needed to create alignment. After that, we started building.
Data Infrastructure Data Integrity Data Access & Visualization Components of a Data System Process Changes Infrastructure Change Process People in your Org Data Utilization Process
Minimum Viable Product (MVP) vs. All-in-one Do you want to ship as little as possible as soon as possible and learn and add versus shipping a totally finished product all at once.