This is the third installment in a series documenting the challenges, progress, setbacks, and victories of The Data Dojo: A Power BI Community of Practice. In Part 1, I shared the story of how I founded the Data Dojo at Des Moines University (DMU). In Part 2, I talked about our first two workshops, and shared a cautionary tale about our first major setback. In this post, I’ll tell you all about:
- Our third workshop, including a summary of the foundational topic we covered, and why it was so important for us to establish this baseline before moving on to more advanced topics
- How we clawed our way back from the brink of disaster following our setback, and began rebuilding the trust and confidence of our members
- Our plans for ensuring that the Data Dojo will continue to grow and thrive for many years to come
Thank you for joining us on this adventure!
Waking the Sleeping Dragon (Our Third Workshop)
We hosted our third workshop on August 2nd, 2023, and as I mentioned in Part 2, it had been a very long time since our last workshop, so the stakes were quite high. We had to prove to everyone (especially ourselves) that we could:
- Rebound quickly from a major setback
- Resume attracting new members, delivering value to our existing members, and providing a safe and welcoming environment for everyone
- Recommit ourselves to building a strong community and fostering a culture of knowledge sharing and collaboration within our organization
Our third workshop was attended by just twelve members – a much lower turnout than either of our previous workshops. I had actually anticipated a significant dip in attendance at our third workshop (as a result of the issues I outlined in the “Our First Major Setback” section of Part 2), but even though I saw it coming, it still hit me pretty hard and left me feeling more than a little disappointed (mostly in myself). However, this storm cloud had two clearly visible silver linings:
- Most of the attrition consisted of members who had participated only minimally (if at all) during the first two workshops, while nearly all of the members in attendance had been eager participants in the first two workshops, and continued that trend during the third. Obviously, we’ll need to figure out how to re-engage our less active members, but we can at least take comfort in the fact that we have a solid core of members whose unwavering enthusiasm will keep us energized and help us navigate even the most turbulent waters.
- We also had several new members join us for the first time, and we were thrilled to welcome them to the Data Dojo. We’re always excited when new members arrive, but it was especially encouraging to see new members put their faith in us during a time when we were still reeling from a major setback, and the future of the Data Dojo was perhaps uncertain, or even precarious (particularly from their outside perspective). The fact that these new members chose to join our ranks despite our readily apparent struggles and shortcomings is a testament to the strength and resilience of our community, and the real value that our members provide, both to each other and to the organization at large.
In this workshop, we focused on providing simple definitions, real world examples, and clear explanations for most of the common technical “jargon” terms that Data Dojo members are likely to encounter while working with data (slide deck pdf). Compared with the topics we covered in our previous workshops, this one was probably a little boring. However, it is absolutely critical for everyone working with data in an organization to have a unified vocabulary and a shared understanding of how each term relates to the organization’s overall data analytics strategy and specific implementation. This is especially true for a Community of Practice like the Data Dojo, where members are encouraged to share their knowledge and collaborate with each other. If we don’t all speak the same language, then we can’t communicate effectively with each other, and all of our collaborative and knowledge-sharing efforts will be severely hampered. So, even though this subject may have been a little dry, it was still very important for us to get everyone speaking the same technological dialect, and I’m glad we did it.
I was chatting with my wife the other day about data terminology, and how important it is for everyone in the organization to have a shared understanding of what the various terms mean. She made some excellent points, and I thought I’d share them here:
It’s not uncommon for accounting/finance and IT to have terrible communication with each other, because they’re usually speaking two very different languages. Establishing a common language around data in the organization is a great way to not only increase data literacy in the organization at large, but also to start breaking down the language barriers preventing individual business units within the organization from understanding each other and collaborating effectively. Data literacy and a common language around data in the organization enable clearer, more effective communication of needs and objectives throughout the organization.
– Erin Howland
Wax On, Wax Off: The Importance of Practice
One of the most important lessons I’ve learned from my experiences with the Data Dojo so far is that practice is absolutely critical. This is especially true for those of us who are responsible for leading and/or facilitating a Community of Practice, because our actions and decisions will have a direct impact on the success or failure of both our Community of Practice and the organization as a whole.
Successful Communities of Practice require effective leadership, and in order for us to be effective leaders, we must not only hone our technical skills, but also we must practice the craft of leadership itself. Therefore, as leaders and facilitators of our Communities of Practice, we must:
- Find one or more mentors with expertise in:
- Event planning
- Project management
- Collaborative leadership
- Learn and drill the basics
- Learn as much as possible from our mentors
- Practice what we’ve learned
- Seek feedback from mentors, peers, and members of our Communities of Practice
- Develop core strength
- Pick one new skill to learn, and one existing skill which needs improvement
- Focus on those two skills, and look for opportunities to practice them whenever possible
- After gaining sufficient strength in those two skills, repeat the process with two more
The Art of War: Strategy First, Then Tactics
As we’ve seen, successful Community of Practice leaders and facilitators must be effective tacticians, but that’s only half of the equation. In order to be truly effective, we must also be strategic thinkers. We must be able to:
- Look at the big picture and understand how our Communities of Practice fit into the larger organizational landscape
- Identify and prioritize the most important goals and objectives for our Communities of Practice, and then develop and execute a plan to achieve them
- Adapt our plans as necessary in response to changes in the organization’s needs, as well as the needs of our members
- Communicate our plans with our members, so that they can understand and support our vision, and help us achieve our goals
- Seize the initiative and take advantage of opportunities as they arise, while also being mindful of the potential risks and pitfalls involved, and taking proper precautions to avoid or mitigate them
Speaking of averting disaster by thinking ahead, here are some pointers to help you avoid making the same strategic mistakes that I’ve made:
- Beware of “tunnel vision” masquerading as “laser focus” (I’ve fallen into this particular trap so many times, I’ve lost count)
- Remember to zoom out from time to time, assess the situation, re-calibrate as necessary, and then zoom back in
- Target attainable goals first, then set stretch goals once you’ve achieved the attainable ones
- Don’t be afraid to pivot when necessary – an acceptable solution today is better than a perfect solution next year
- Know your limits, don’t overcommit yourself, and don’t hesitate to ask for help when you need it
Next Time: The Data Dojo Strikes Back!
In Part 4 of this series, I’ll tell you all about our fourth workshop, which featured an interactive walkthrough of Power BI Desktop, and generated more buzz, enthusiasm, and positive feedback from our members than all previous workshops combined – a huge success for the Data Dojo, and a clear indication that we’re finally back on the right track and making forward progress. I’ll also share some of my key takeaways from the organizer/facilitator perspective, like how we can leverage the power of kinesthetic learning to help our members engage directly with the subject matter, acquire and retain new knowledge and skills, and become better data analysts and data-driven decision makers in the process. Stay tuned!