Why Small Innovations Matter
Sometimes the most impactful innovations aren't revolutionary, they're evolutionary. They're the small tweaks that remove frustration, smooth out rough edges, and make good experiences great. These improvements might not make headlines or impress executives in boardroom presentations or make for great LinkedIn clickbait, but they create the kind of positive customer experiences that build loyalty and drive growth.
My Personal Journey to Analytics Independence
Through my work with hundreds of organizations, a clear pattern emerged. Companies struggling with their data initiatives typically treated their analytics teams as organizational afterthoughts, shuffling them between budget holders without clear purpose or protection. In contrast, successful organizations approached the structure of their analytics teams with careful deliberation, establishing clear reporting lines and safeguarding their independence.
Why We Must Always Question the Numbers
As the CEO of 33 Sticks, a boutique analytics company, I've seen firsthand how data can be both illuminating and misleading. This lecture wasn't just about statistics, it was about empowering the next generation to think critically about the numbers that shape our daily decisions.
The Price of Perception: Why Clients Value Complexity Over Clarity
The "Thud Factor" highlights a significant challenge in the consulting world, the need to provide value while meeting client expectations for perceived effort. As we move forward, both clients and service providers must work together to prioritize effectiveness over appearance.
By valuing clarity, efficiency, and measurable outcomes, we can create a more transparent and productive environment for problem-solving.
Remember, the weight of a solution should be measured not by the pages it fills, but by the impact it creates.
In the end, real value doesn't thud, it transforms.
The Real ROI of Consumer Analytics: Why Your Business Can’t Afford to Ignore It
When done right, analytics is an enabler and a multiplier. It’s not about pulling a lever and watching revenue magically pour in. It’s about building a foundation for sustainable growth. It’s about giving you the tools, the insights, and the clarity needed to make smarter decisions. And those smarter decisions lead to significant, lasting outcomes.
The Difference Between Data Reporting and Data Analysis
his same scenario plays out in businesses, both large and small, across the world. Business owners and key stakeholders are demanding meaningful insights from their analytics teams however most analtyics teams stop at providing basic, often times misleading, commentary about data reports.
The Inevitable Transformation: How GenAI is Redefining Roles in the Analytics Industry
The path forward is clear but not easy. We must shift our focus from task-based activities to value-driven contributions. This requires a fundamental change in mindset and approach. It demands that we continually learn and adapt, leveraging our unique human abilities to interpret and add context to the data.
Building a Personal Coffee Data App with Python and Streamlit
Coffee is more than just a drink, it's an experience, a ritual, and for many of us, a passion. As a coffee enthusiast, I've always been fascinated by the of the variables that go into making the perfect cup. From the origin of the beans to the brewing method, each factor plays a crucial role in the final taste profile.
Building a Future-Proof Foundation: The Imperative of Sustainable Analytics
Digital Analytics is in a state of crisis. Despite the wealth of data at our fingertips, many organizations find themselves burdened by overly complex systems, frustrated teams, and a lack of meaningful insights. This article explores the concept of sustainable analytics, highlighting the urgent need to shift our approach and implement long-term, sustainable practices. By addressing these challenges, we can build a future-proof foundation that not only meets our current needs but also sets the stage for continued success.
Inspiring the Next Generation
Data literacy is incredibly important, that is why we set out to desire the next generation.
From Student to Data Analyst
Becoming a great analyst takes time. It’s not something that happens overnight. It’s not something that you become by reading a book. It’s not something you become by working for {fill-in-the-blank-company} or getting a certification in {fill-in-the-blank-industry-certification}.