The biggest difference between senior and junior-level individual contributors is how they name things. Seniors name things intentionally and clearly. Juniors name things based on how they feel that day. All the Best, Tucker
3 days ago • 1 min read
You're already a data manager. (Yes, you.)If you check reports, use software, or make decisions based on forecasts - congratulations, you're practicing data management.The difference? Some do it intentionally. Most don't.Unintentional data management looks like: • Unpredictable workdays • Constant firefighting • Frustrated customers • Teams working in silosThis might feel like the status quo. You might even enjoy the chaos.But I promise you this: once you start managing data intentionally,...
4 days ago • 1 min read
At a certain point nearly every company needs to modernize their tech stack. This includes how they manage their data. Because you don't have time to track down data: When you are shipping thousands of orders a day... Talking to multiple clients at a time... Putting out fires every day... Modernizing your data management stack, and getting off of excel is a necessity not a luxury. All the Best, Tucker
2 months ago • 1 min read
"We do it in Excel" they said. I almost fell out of my chair. 😳 This 3PL was processing 1,000+ orders daily... Managing millions in revenue... And doing their invoicing manually. Here's why this is dangerous: MANUAL INVOICING RISKS Missing billable activities costs you thousands in revenue Excel errors compound over time, destroying profitability Hours spent reconciling could be used growing your business Delayed invoicing hurts your cash flow THE REALITY For small operations, Excel works...
2 months ago • 1 min read
A bad data strategy costs money. A great one makes it.The question isn’t whether you need one—it’s whether you’re building it right.Here are 5 key ingredients to building a great data strategy...👇1. VISION This is your North Star. Write it down. Make it real. Hold yourself accountable.2. GUIDING PRINCIPLES Healthcare? Privacy first. Logistics? Speed wins. Your principles shape everything.3. BUSINESS-ALIGNED GOALS Think big. Make them ambitious enough to transform your business. Keep them...
2 months ago • 1 min read
A COO told me his company was making about 20 million in revenue without a data team. That's impressive for a newly founded company. He acknowledged, though, that.... Their billing was done manually There was little to no reporting The owner had concerns about growing Here's the thing. You can make a lot of money and not spare a second to think about your data. But if you did spare that second, I can guarantee you'll sleep better at night, spend less time doing mundane tasks, and increase...
2 months ago • 1 min read
Most data projects that fail don't: Have a long-term plan Have an executive sponsor Deliver a good enough MVP They're too reactive and not planned out enough. The opposite is also true. You could get stuck in planning session upon planning session. You could have too much executive oversight. You could spend too much time on your MVP. Most of the time, though, the error is having to little rather than having too much. All the Best, Tucker
2 months ago • 1 min read
To create a successful data program, you need to focus on these three things: 1. DATA STRATEGY Most data programs fail because their vision is too narrow.If it's too focused on a specific report or project, you risk building solutions that don't scale, are messy, and are hard to maintain. Instead, you need to: - Define a clear vision - Set high-level goals (Think on the order of year,s not months)When you get this right: - You build scalable, future-proof solutions - You handle challenges...
3 months ago • 1 min read
Most companies aren’t ready for AI and machine learning.The brutal truth?You’d see a far better ROI by focusing on something foundational:Developing modern data infrastructure with integrated, governed data.Why? - Your company still needs a single source of truth (Not just an LLM running on a million excel sheets) - Most metrics can still be tracked best by modern BI tools - LLM's will have just a hard time with your messy data as an analystThe bottom line?Now is the time to position yourself...
3 months ago • 1 min read