If your business has grown past the concept phase, you’ll benefit from regular analytics reporting. Early on, chances are you’ll be able to get a lot out of the built-in analytics of many applications. Eventually, however, your business questions will evolve, and you’ll need more detailed analytics. If you are not familiar with data analytics
Three Critical Decisions When Starting Your Analytics Team Read More
I want to start tackling an elephant in the room when it comes to data analytics in business. When leadership decides to pull the trigger to stand up an analytics team, several challenges need to be addressed. Most importantly, leaders need to integrate analytics with other business functions to be most successful. Put simply, analytics
Why Analytics is Not a Bolt-On Business Function Read More
If this article caught your attention, then I’m guessing you have experienced challenges integrating analytics into your business units. Technical people often don’t fully understand business problems. Leadership often doesn’t fully understand analytic methodology and workflow. But the solution to these challenges is deceptively simpler than most people want to admit. Integrating your analytics boils
Hi there, friends! This is the last post I’ll do in 2023. It’s also the time of year I like to reflect on the journey I’ve taken over the last 365 days. But don’t worry, I won’t do that reflection in this post. Instead, I want this post to help YOU with 10 questions to
10 Questions to Reflect on 2023 and Prepare for 2024 Read More
Data analysis is a funny thing. When the analytic results are clear, you gain the supporting evidence to make solid data-driven decisions. When the analytics results aren’t clear, however, you get…well, frustrated. A quick Google search will return plenty of articles explaining reasons why your analysis failed. The reasons will include everything from using the
Probability: The Real Reason Your Analytic Results Aren’t Always Clear Read More
In the world of statistics, logical explanations exist for nearly every formula or decision point made during an analysis. From describing the characteristics of your measures, to choosing your analytic methods, you draw on scientifically-based approaches developed by statisticians. You will encounter one exception to this “rule”, however, in all but the most basic of
Why Do So Many Analyses Rely On a P-Value of 0.05? Read More
One beautiful aspect of analytics is your ability to rerun the same analysis over and over again. Once you write the code to do something, you can easily execute the same analysis on different data. Ideally, your analytic team would develop their code so that repeating an analysis with new data would require minimal updating.
Best Practices for Developing and Nurturing Mature Analytic Code Read More
If you aren’t a data analyst, but work in a business that embraces analytics, you might know the feeling of imposter syndrome. You experience Imposter syndrome as a feeling of anxiousness or self-doubt – that somehow you don’t belong even when you are successful. You’re not alone, my friend. This is a very real phenomenon,
Obliterate Your Imposter Syndrome, and Go Learn Something New About Data Analysis Read More
When I train business professionals looking to level-up their skills, data quality is a topic that always comes up. They bring it up around the time they start learning the different methods used to clean data for analysis. The more they learn, the more they begin to understand the art of analytics. You see my
Can I use this data? Evaluating the implications of poor data quality Read More
