Desk Research

Create and clean large datasets and directories enriched with publicly available KPIs for your research team

✅ A fully cleaned, structured dataset (Excel/CSV) with custom fields
✅ Verified company list with live website links
✅ Address fields + Google Maps URLs
✅ LinkedIn company page links + basic employee insights
✅ KPIs sourced from publicly available data

What we do

1. Create and clean large datasets and directories enriched with publicly available KPIs.

2. Build comprehensive company lists with accurate names, industry tags, services offered, and segmentation.

3. Enrich datasets with public financials, headcount estimates, website traffic indicators, or any open-source KPIs that support analysis.

4. Standardize and structure all data so your research team gets a clean, analysis-ready file.

What we deliver

Turnaround time

✅ Turnaround time depends on:

• The number of rows/companies to be processed

• The number of datapoints/fields to be filled

• The complexity of manual scraping and verification required

✅ Projects can range from a few hours to multiple days depending on dataset size and enrichment depth.

Pricing

✅ $30–$40 per hour, based on work complexity and level of manual effort required

Large Dataset Creation & Enrichment

Company Discovery, Verification & Metadata Collection

1. Identify and compile companies across any industry, geography, or size bracket.

2. Verify working websites, social media links, and contact information.

3. Collect accurate head office addresses, city/state mapping, and Google Map links.

4. Add LinkedIn company profile URLs, basic headcount ranges, and employee insights.

5. Perform manual scraping when automation is insufficient, ensuring complete and reliable data.

Data Cleaning, Structuring & Validation

1. Remove duplicates, errors, broken links, and inconsistent entries.

2. Standardize website formats, address formats, and company naming conventions.

3. Validate links, metadata, and scraped fields to ensure data accuracy.

4. Map companies to segments such as industry, sub-industry, geography, headcount, service type, and more.

5. Deliver datasets that are ready to be used in your models, dashboards, or outreach workflows.