All the data and analytics insights for data leaders we've scooped up this week - 8/26/22.
Analytics Leader Digest - 9/2/2022
All the data and analytics insights for analytics leaders we've scooped up this week - 9/2/22.
Is your team's busyness helping or hurting?
In the modern world, busyness is perceived positively. It’s a sign that you’re getting things done, that you’re in demand, and that your time is valuable. We also tend to believe that busyness is a condition imposed by others - we are merely victims of it.
This article suggests a different perspective, claiming “you should only ever be busy on purpose”. If your team is too busy to get their work done properly and with an acceptable level of quality, you should reconsider the workload. What are the levers you can pull to give your team a better quality of life? IE: implementing new best practices, communication, tools, strategies, etc. While this post is originally framed in engineering terms, its lessons are broadly applicable and a must-read for leaders of technical teams.
Database Migration at Scale: Lessons from Discord on Change Management
A post by the massively-popular messaging application’s CTO and co-founder, Stanislav Vishnevskiy, on how his company transitioned database technologies. Spoiler: they’re using Cassandra. It gets into the technical details of this migration and some harrowing issues they ran into along the way, but also provides a great look at the tool selection process and change management. One tip that stuck out: “Build quickly to prove out a product feature, but always with a path to a more robust solution.”
How Data Can Make Better Managers
As leaders of data teams, or data practitioners, we’re used to using data to drive business outcomes. But what if we could more effectively turn it back on ourselves? Using computational leadership science, we may be able to do just that. With applications in employee morale, productivity, diversity/inclusion, and growth, computational leadership science (CLS) has the potential to define the future of management.
Where ad-hoc analytics has an edge over self-service
Ask any analyst about the highs and lows of ad-hoc analysis, and you’ll hear war stories and tirades. Maybe even stories recounting that time they saved $15M for the business with an especially insightful SQL statement. Despite “quick question” type ad-hoc requests being the bane of any analyst at 4PM on a Friday, this author claims it’s crucial to making a data-driven business function. This post makes the case for its merit, instead of pushing to replace it completely with a self-service model.
Architecting a database for the collaborative fabric of the programming universe
This post, the first in a five-part series, lays bare the algorithms and data structures that power git, the definitive source control solution. Even if you don’t use git on a daily basis (or you don’t anymore), you can probably imagine how managing changes and tracking diffs across a massive number of users makes for an interesting data problem. Buckle up, it’s a technical read, but worthwhile for a glimpse of git’s approach to abstraction and optimization.
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