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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….

Your warehouse data is like that messy storage closet no one wants to deal with. You know there’s valuable stuff in there. But it’s so disorganized, you can’t access the information you need when you need it. Here’s 3 steps you can take today to start turning your messy data into actionable information: 1. Take Inventory – Document every data source and report in your operation. 2. Identify Redundancies – Find where teams are creating duplicate reports or tracking the same metrics…

Your 3PL generates millions of data points… But when a client asks for a simple report, your team spends days compiling it.If this sounds familiar it means you’re likely data rich, but information poor.Here’s how successful 3PLs turn this around to become information rich:1. Integrate Your Data – Break down silos between your systems – Centralize everything into a single source of truth – Stop playing “find the right spreadsheet”2. Automate Your Reporting – Replace manual data pulls with…

“I don’t trust the data” – these four words can stop a data project dead in its tracks. Data validation challenges typically fall into two categories: genuine data inconsistencies and misaligned expectations. Whether it’s discrepancies in your Warehouse Management System (WMS) or unexpected variations in your Order Management System (OMS), getting to the root cause can become a resource-intensive process that pulls in more stakeholders than necessary. That’s why it’s important to have a…

Do you expect your team to be 100% on every task they do, never making a mistake? Of course not. So when they’re using manual reports, calculations, and formulas to report on SLAs, billing, and invoicing, Don’t be surprised when they get it wrong. All the Best, Tucker

Here’s a quick way to query your data warehouse data using AI. Export your data model to PDF Create a project in Claude and add your data model as a document Add any Business Glossary or data dictionary to your project Ask Claude to write a query to get x data It’s still not fully automated, and there is the chance that Claude doesn’t understand the full business context, but it’s a quick and cheap way to experiment with AI. All the Best, Tucker