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AgileData Newsletter #32
Rich Mironov – The Problem with Sales Led Development
Join Murray Robinson and Shane Gibson on the No Nonsense Agile Podcast as they engage in an insightful conversation with Rich Mironov, addressing the issue of sales-led development in B2B enterprise companies.
Understand how the focus on customisation can starve core product development, limiting innovation, quality improvements, and technical resilience.
Key outcomes of sales-led development:
🔸 Frustration among product development and engineering teams
🔸 Lacklustre products
🔸 Reduced profitability
🔸 Hindered growth
🔸 Difficulty in securing investments
The discussion emphasises the role of product leaders in helping executives recognise the differences between the economics of product and service businesses, urging them to adapt their behaviour accordingly.
Tune in to explore solutions and strategies to overcome the challenges of sales-led development.
“It.s not the physical structure of the data that is important, but the language, what language do you speak, if you’re a machine learning engineer, you speak a language of wide tables, lots of rows of raw data that’s got feature flags”
”Data modelling is actually going to become more and more about shared language than the technical implementation that we focused on for the last couple of generations.”
Consuming Data In Looker Studio
We explore how to seamlessly connect Looker Studio to AgileData. With this, you will gain the ability to visualise, analyse, and derive incredible insights from your AgileData tiles in a powerful and user-friendly environment!
If you're new to Looker Studio, it is a robust, next-generation data exploration tool that empowers users to navigate through vast data landscapes with ease.
Combine AgileData and Looker Studio together and they form a formidable pair, enabling you to handle even the most complex data tasks with ease.
So, buckle up and get ready as we guide you step-by-step on your data journey. By the end of this video, you'll be a pro in connecting Looker Studio to AgileData and unlocking the full potential of your data.
On this episode of the #AgileData #Podcast we chat with Raj Joseph about Data Observability patterns.
My key takeaway "measurement without a purpose is messed up."
Observable data doesn't require checking every dimension, but some key metrics
Key metrics include volume (row count), schema (column count), freshness (timeliness), and duplicates (based on primary or composite keys)
Usage information is also important to consider, including who is using the data and for what purpose
Usage doesn't necessarily indicate business impact, but it adds another dimension to consider
A methodological process can then be used to define criticality using these metrics and other KPIs.
In our latest Way of Working (WoW) article, we delve into the realm of prioritisation anti-patterns that can derail decision-making. We shed light on the pitfalls of delegated stakeholders who participate in prioritisation workshops without the authority to make decisions, creating a disruptive dependency that diminishes the value of these sessions. We also explore the tendency to defer to the Highest Paid Person's Opinion (HIPPO), and the problems arising when multiple projects are labeled as the top priority. By understanding these anti-patterns, we aim to guide organisations in fostering a productive environment that truly values the principle of collective decision-making, encouraging every participant to engage actively in the prioritisation process.