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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

“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…

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…

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…

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

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…

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…

Slow information can bleed a company dry. Here’s what it looks like: – Endless email threads asking for basic data – Teams working from different versions of the same report – Hours wasted hunting down numbers in Excel sheets – Daily fires that could’ve been preventedHere’s two things you can do to start fixing this:1. Start Small Don’t try to boil the ocean. Pick 1-2 high-impact processes that are causing the most pain. Build momentum with quick wins.2. Invest Smart”We can’t afford new tools…

In 2025, shippers are raising the bar: 68% demand control tower visibility 49% require advanced analytics and data mining The message is clear: 3PLs that excel at delivering these capabilities will win more contracts. Those that fall short risk losing business to more data-savvy competitors. But meeting these demands isn’t just about buying new tools—it starts with a robust data strategy. Here’s the exact framework I use to help 3PLs transform their data operations and position themselves to…

The quickest way to boost your 3PL’s efficiency and cut costs isn’t by creating more spreadsheets.It’s by building a single source of truth for your data.Here’s how you can achieve that:1. Application IntegrationThis is when data from one application is pushed or pulled to a different application to either enrich or create data. For example, orders created in an OMS are pushed to a WMS.2. Data IntegrationThis is where you combine different data sources to create one unified view of reality….