12 Years of ERP Work Taught Me These 3 Data Entry Rules That Save Hours After

12 Years of ERP Work Taught Me These 3 Data Entry Rules That Save Hours After12 Years of ERP Work Taught Me These 3 Data Entry Rules That Save Hours After

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Umer Farooq

• May 30

12 Years of ERP Work Taught Me These 3 Data Entry Rules That Save Hours After 12 years working with SAP, Oracle and Odoo I learned that most data entry errors come from the same 3 mistakes. Rule 1: Always validate before you enter Never copy-paste raw data directly into your ERP. Run a duplicate check and format validation first. This single habit reduces errors by 60%. Rule 2: Standardise your master data first If your vendor names are inconsistent across records your reports will always be wrong. Clean master data = clean reports every time. Rule 3: Build a template for every recurring entry Any data you enter more than once per week deserves a template. I have saved clients 3-4 hours weekly with this alone. Need help cleaning your ERP data or building entry templates? Message me — free consultation available. dataadminpro.com

erpdataentry sapdataentry Quickbooks Data Entry

Oluchi Okonkwo

• Jun 1

Customer Database Management project using Microsoft Excel. I performed data entry for 5 customers including names, email addresses, phone numbers, cities and transaction amounts.I applied sorting, filtering, VLOOKUP.IF Formula and Conditional Formatting to organize and analyze the data accurately.

Bookkeeping Data Entry Virtual Assistance Google Sheets Microsoft Excel Microsoft Word

Jovanne Saldierna

pro

• Jun 1

Most small businesses are making decisions off numbers they don't fully trust.

Mismatched reports. Spreadsheets that take hours to update. Metrics that mean different things to different people.

I spent 4 years fixing exactly this at HCA Healthcare across 186 facilities and at Dell across 100+ enterprise accounts. Reduced manual reporting by 60%. Standardized 30+ KPIs so every team was finally working from the same numbers.

Now I bring that same rigor to smaller teams that need real analytics without hiring a full-time analyst.

If your data is a mess or your reporting takes longer than it should, that's exactly what I do.

Open to dashboard builds, SQL audits, and monthly reporting setups. DMs open. https://public.tableau.com/app/profile/jovanne.saldierna/viz/ShippingCostIntelligenceSystem/ShippingCostIntelligence

Data Analysis Data Visualization SQL Tableau

Samual Badcock-Moore

• 2d

Data cleaning is something that eats hours if you do it manually. I built this tool to handle the boring parts automatically, stripping duplicates, catching nulls, fixing inconsistent formatting, flagging dodgy values. Paste your CSV in, get a clean version out, with a full log of everything that changed. Based on how I approach cleaning in pandas day to day.