I hear it constantly:  “This dashboard is wrong.” Or worse, teams keep spreadsheets to track the exceptions that explain why the numbers don’t quite line up each month.  The problem is almost never the software or tools.  The real issue is fragmented, inconsistent, and unreliable data that can’t be trusted to support real decisions.  When numbers don’t match or reports take too long to produce, leaders aren’t making informed decisions; they’re just guessing.
 


After working with thousands of users across hundreds of businesses over more than 20 years, I’ve seen the same recurring pattern.  Teams burn hours (sometimes days!) compiling, cleaning, and reconciling data.  Key initiatives stall, confidence in reports erodes, and eventually, leaders stop trusting the numbers altogether.  They fall back on intuition and emotion instead of evidence.
 


Many businesses assume the answer is another dashboard or different software.  Most of the time, what they actually need is the ability to trust the data they already have. 


The belief that data confidence must come before tools, automation, or analytics sits at the heart of DataMadeRight and the APS Data Reliability Framework. I built it to help analysts, operators, and business leaders, particularly those living in spreadsheets and reporting tools, understand what’s possible, what’s broken, and how to fix it in a practical, sustainable way.


We start by establishing a clear foundation that aligns tools, processes, and people so reports and analytics can be created with numbers you can actually depend on.  No heroic cleanup every month, no shadow spreadsheets, no guessing which version of the truth to believe.  Just decision-ready data that supports how your business actually operates.
 


That’s DataMadeRight.