The first episode of the Rockstar Data Podcast is live. In this episode I have a great conversation with Michel Mongeau, VP of Product at ReturnLogic.
Crafting Your Data Strategy: A Comprehensive Template
Having a clear and effective data strategy is essential for any organization aiming to leverage its data for business success. A well-defined data strategy not only aligns with your business…
Ensuring Scalability of Architecture and Observability in Data Analytics Platforms
In data analytics, scalability is a cornerstone that determines the long-term success and efficiency of data platforms. As organizations grow, so does the volume of their data and the complexity…
Revolutionizing Data Architecture: Exploring the Power of Data Mesh
Today, organizations are constantly seeking innovative approaches to effectively manage and harness their vast amounts of data. One such approach gaining significant attention is the concept of Data Mesh. In…
SaaS software development and data observability
Data observability plays a crucial role in the development of Software-as-a-Service (SaaS) products. SaaS companies rely heavily on data to deliver value to their customers, make informed decisions, and continuously…
Don’t waste your user research, use it!
I see it all too often, companies do this amazing user research and cannot find a way to apply it. The key is to have a framework within your organization…
The Role of Generative AI: An Optimization Tool, Not the Current Answer
Generative Artificial Intelligence (AI) has garnered significant attention and excitement in recent years. It has the remarkable ability to create new content, imitate human creativity, and produce unique outputs. However,…
Enhancing Product Management Efficiency with the Eisenhower Priority Matrix
Product management is a challenging discipline that requires efficient decision-making and prioritization skills. With numerous tasks and responsibilities demanding attention, it can be overwhelming to determine which tasks should be…
Building a Data Team from Scratch: Challenges and the Importance of Proving Business Value
Building a data team from scratch is no small feat, and it comes with a host of challenges. Not only do you need to find the right people with the…
Starting Wide: Why it’s Important to Begin Data Analysis with a Broad Overview
In the world of data analysis, starting wide and gradually focusing in on specifics is a crucial step towards arriving at accurate and insightful conclusions. While it may be tempting…