The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Messy spreadsheet? I fix that. 🧹📊
Cleaned up scattered order data fixed inconsistent names, emails, phone formats, and dates, then organized it into one clean, client-ready sheet. This is the kind of Excel cleanup work I do for clients: fast, accurate, and audit-ready.
DM me if your data needs the same treatment.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
I organized and cleaned data using Microsoft Excel and Google Sheets. I focused on accurate data entry, removing duplicates, formatting spreadsheets, and making information easy to read and analyze.
Private Equity Buyer Research | Technology & Software
Recently completed a targeted PE research project focused on firms that acquire technology and software businesses within specific deal and revenue ranges.
Research included:
• $5M–$50M deal value
• $2M–$20M target revenue
• Technology / software focus
• Acquisition criteria
• Relevant decision-makers
• Verified work emails
• Portfolio & previous acquisitions
• Firm location and website
The goal was to identify qualified PE buyers based on actual investment criteria, not just build a generic database.🚀
smallbusinessownersaasdataenrichmentservicesResearchData EntryLead GenerationApolloLinkedIn Sales NavigatorMicrosoft Excel
Too many businesses try to build complex predictive AI models before their basic data pipelines are even functioning. You cannot skip the fundamentals.
The Data Hierarchy of Needs for scaling SMBs:
Level 1: Stable Collection (SQL) — Your database health and data pipelines. If your raw data is broken, everything built on top of it will fail.
Level 2: Data Governance (Python) — Enforcing uniform definitions, cleaning messy data, and ensuring total integrity.
Level 3: Automated BI (Power BI) — Moving away from manual spreadsheets to automated executive views and daily KPI tracking.
Level 4: Predictive Insights (AI / ML) — Churn models and forecasting. This only generates ROI if levels 1 through 3 are rock solid.
Stop wasting time on manual data entry and broken reports. If you are stuck at Level 1 or 2, I can help you scale up. Check out my Contra services to get your SQL pipelines automated and your Power BI dashboards built right the first time.
Amazing Information