How We Fix Your Data
A systematic, phased approach that gets your data clean and keeps it that way
Data cleanup and operational visibility services help manufacturers and distributors fix messy ERP data, eliminate duplicates, and build real-time Power BI dashboards that replace spreadsheet-based reporting. Uptimize Solutions has helped clients achieve 99.5% inventory data accuracy and eliminate 34% duplicate customer records through structured data cleanup and dashboard development.
If your team is pulling numbers from spreadsheets, second-guessing inventory counts, or manually reconciling reports across systems, the problem is not your people. It is your data. We clean it, consolidate it, and build the dashboards that give your operations leaders the visibility they actually need.
Book a Free Workflow AuditThese issues are common across manufacturers and distributors, especially after years of growth, acquisitions, and system changes
The same customer entered three different ways across ERP and CRM. Vendor records that do not match. Item numbers with conflicting descriptions. Your team wastes hours reconciling data that should be clean.
You acquired companies and inherited their systems, naming conventions, and data quality issues. Now you have multiple databases with overlapping records and no single source of truth.
Need M&A data consolidation? See our dedicated service →
For a detailed look at our post-acquisition data consolidation approach, see our dedicated M&A data consolidation page and our case study where we unified 5 acquired companies.
Critical business decisions rely on spreadsheets that one person maintains. Reports take days to compile, numbers do not match between departments, and nobody fully trusts the output.
Cycle counts do not match the system. Warehouse teams keep their own shadow records. Finance adjusts for known inaccuracies. The result is excess stock, stockouts, and write-offs that hit your margins.
Your ERP has the data, but getting it out in a useful format is painful. Leadership asks for a report, and it takes a week. By the time the numbers arrive, they are already stale.
Data lives in SAP, Oracle, Epicor P21, Infor, NetSuite, Sage, or legacy platforms that do not talk to each other. Getting a complete picture means logging into multiple systems and stitching data together manually.
Need to connect your systems? See our System Integration services →
A systematic, phased approach that gets your data clean and keeps it that way
We start by mapping every data source: ERP, CRM, spreadsheets, legacy databases, and the tribal knowledge that lives in people's heads. We quantify the duplicates, gaps, and inconsistencies so you know exactly what you are dealing with and what the cleanup will involve.
We deduplicate records, standardize naming conventions, correct errors, and merge data from acquired companies into a unified structure. For M&A consolidation projects, we handle the full mapping and migration, whether that means merging five companies into one ERP or building a master data layer across platforms.
Once the data is clean, we build Power BI dashboards tailored to the people who need them. Controllers get financial performance views. Ops leaders get order and fulfillment tracking. Warehouse managers get real-time inventory accuracy. CFOs get the executive summary with drill-down capability. No more waiting days for a report.
Clean data does not stay clean on its own. We establish validation rules, entry standards, and automated monitoring so that data quality holds over time. Your team gets clear processes for maintaining what we built, and we provide ongoing support as needed.
Measurable outcomes from real data cleanup and visibility projects for manufacturers and distributors
A distribution client went from unreliable cycle counts and constant write-offs to 99.5% inventory accuracy after systematic data cleanup and process improvement.
After a series of acquisitions, we merged customer, vendor, and item data from 5 separate companies into a unified ERP and CRM with zero duplicate records and consistent naming. See how we merged 5 companies into one unified ERP and CRM → Read the case study
Replaced weekly spreadsheet reports with live Power BI dashboards. Leadership now sees inventory levels, order status, and financial KPIs in real time instead of waiting days for stale data.
Controllers and ops managers who spent 10+ hours a week compiling reports now get the same data automatically. That time goes back to analysis and decision-making instead of data wrangling.
We build data solutions for the roles that depend on accurate, accessible information every day:
We pull data from and clean data in the platforms manufacturers and distributors actually use: SAP, Oracle, Epicor P21, Infor, NetSuite, Sage, and legacy systems including AS/400, Access databases, and the spreadsheets that somehow became mission-critical.
Common questions from operations leaders evaluating data cleanup and dashboard projects
We handle the full range: duplicate customer and vendor records across systems, inconsistent item numbers and descriptions, messy data inherited from acquisitions, spreadsheet-dependent reporting processes, and ERP records that nobody trusts. We clean it, consolidate it, and build dashboards so your team can finally make decisions based on facts.
We work with data from SAP, Oracle, Epicor P21, Infor, NetSuite, Sage, and legacy systems. We also handle data spread across spreadsheets, Access databases, and homegrown tools that have accumulated over years of operations.
Yes. M&A data consolidation is one of our core strengths. We have consolidated data from as many as 5 acquired companies into a single unified ERP and CRM, deduplicating records, mapping fields, and validating data integrity throughout the process.
We primarily build with Power BI because it integrates well with the ERP and operational systems our clients use. We create dashboards for real-time KPIs, inventory accuracy, order status, financial performance, and warehouse operations tailored to the roles that need them: controllers, ops leaders, warehouse managers, and CFOs.
A targeted data cleanup (one system, one data type) takes 2–4 weeks. A comprehensive cleanup across multiple systems takes 1–3 months. Post-acquisition data consolidation projects typically take 2–4 months depending on the number of systems being merged.
Projects typically range from $5,000 for targeted cleanups to $30,000+ for multi-system consolidation. The ROI is immediate — cleaner data means fewer order errors, more accurate inventory, and faster reporting.
Yes. We build Power BI dashboards that connect directly to ERP systems (Epicor P21, SAP, NetSuite, Sage, Dynamics) and refresh automatically. No more manual Excel reporting.
The most common issues: duplicate customer records (we have seen 34% duplication rates), inconsistent product naming, missing vendor data, inventory count mismatches, and orphaned records from system migrations. We audit first, then clean systematically.
Yes. We have consolidated up to 5 acquired companies into a single ERP and CRM. This includes deduplicating records across systems, mapping fields, validating data integrity, and building a single source of truth. Read the full case study →
Not sure where to start? Book a free data assessment — we will audit your key data and show you where the biggest problems are.
If your team is spending more time compiling reports than reading them, or if you have been through an acquisition and still do not have a single source of truth, we should talk. We will audit your current data landscape, identify the highest-impact cleanup opportunities, and show you what real visibility looks like.