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Part 2 of 2: The Data Leader’s Guide to Proving ROI Last week, I promised you Part 2 would dive into revenue growth ROI calculations—going beyond time savings to show you how to quantify the bigger financial impact of data initiatives. After wrapping up Part 1, I went back to our client projects to pull examples of revenue generation ROI. And you know what? This boils too many oceans to write about in a concise and easy to follow way. This isn’t a result of poor implementatio

Why intimate gatherings beat massive trade shows, the power of bringing your tribe, and what Steve Wozniak taught me about staying true to your "why" A Quick Note on Last Week’s Promise: Last week, I promised we’d dive into Part 2 of our ROI series—building the complete business case and calculating total value creation. However, between Kickstart Ohio and other conferences this week, I didn’t carve out writing time until Sunday afternoon. Rather than rush through something a

How to Turn "We Need Better Analytics" Into Hard Dollar Savings Executives Can't Ignore Setting the Foundation When beginning a data initiative, what is the objective of your company/client? Where are they in the data maturity lifecycle? What was the initial pain that brought you on board to help? How is data being used/going to be used as a growth driver for the company? What is a solution that speaks to a significant problem that ties directly to the company’s value chain?

The hidden metadata refresh delay that cost us hours of troubleshooting—and how one API call solved everything The 8 AM Mystery: A Data...

I quit my Fortune 200 job to blast Young Dolph and build a six-figure agency. Here's what happened next I’ve almost run my agency into...

A healthcare data consultant’s Friday morning crisis—and the lesson that changed how I think about professional relationships The...

From SQL to Boardroom: A Field Guide to Thriving in Data's Multi-Hat Reality This past week was a learning journey. 'Tis the season of...

Data Catalogue Series #2: How Information Flows to Recommend Profitable Design We are sticking with a cost effective sentiment from last...

Data Catalogue Series # 1: The foundation that prevents data disasters Last week, I highlighted the importance of documentation on one of...

Communicate your data strategy proactively This year I've had the privilege of stepping into my Chief Data Strategy role. Beyond delivery...

Lessons learned from Microsoft Fabric implementations in the last 12 months If you’re interested in implementing Orchestra at your...

The parallels drawn between our data consulting experiences to the healthcare industry I posted a note this past week that focused on...

AI as Enhancer, Not Replacer: A Healthcare Data Consultant's Playbook I often question if I’m using AI enough for hands on keyboard...

The cornerstone of articulating data strategy & governance successfully Pitching the value of analytics and data governance can seem like...

How to leverage tools that solve problems A month ago I had a conversation about AI with the CEO of a GPS IoT company. Specifically, we...

The art and science to building robust Microsoft data pipelines in healthcare Here we go with a more “hands-on” issue. The last four...

The path to showing value quickly in healthcare data projects The chaos of data pipelining cannot hold you back in an end to end data...

The challenges with quirks of a new data tool in healthcare We’ll revisit our data modeling in healthcare series in the coming weeks....

Maximize the benefits of conceptual data modeling with these call-outs It’s one thing to read textbooks and documentation on data...

What is the business outcome of data modeling and technical architecture? A quick note on this week's focus: While I originally planned...