Blog
June 1, 2023
A compilation of contributions from Cindy's community discussing the importance of Data in Community. Thank you to contributors, Kathryn Wolterman, Yohance Barret, Jason Rubinstein, Aaron Bianchi, Patrick Carmitchel, and Mike Elder. Plus bonus childhood photos of Cindy!
May 18, 2023
Getting your employees to make data driven decisions is the ultimate goal of a strong Data Culture so how do you develop their talent and curiosity so that they are empowered to do so? Well, that's what this post on the Individual Layer of the Data Culture Framework covers. Understand the fundamental data skills that every employee should have (and it's a lot less technical than you might think), how to develop curiosity so people are getting to the right questions, and developing empowered individuals that are excited to use data.
May 11, 2023
This entry in the Data Culture blog series covers the key principles for the Departmental Layer of the Data Culture Framework: Tools, Process, and Community. At this layer, relevant and specific data tools are developed for each team, which are then integrated into departmental processes with clear guidance on how to use them so that team members use data effectively in their day-to-day communications with each other. And don't miss the breakdown of the four main ways data can be used!
May 4, 2023
The second entry in the Data Culture blog series discusses the critical principles that compose the Organization Layer of the Data Culture Framework: Trust, Alignment, Storytelling, and Governance. Those leading the Data Culture must ensure that data is trusted, goal metrics are used to ensure alignment across the organization, storytelling is employed to explain changes in metrics, and data is governed to ensure accessibility, standards, and security.
April 27, 2023
In the first of the Data Culture blog series, get an overview of Data Culture (the infrastructure, processes, and practices that dictate how day to day data activities occur within an organization to facilitate decision making), including why it is important, a basic review of the framework, key metrics to measure, ownership, and the need for an ethical Data Culture.