Automate Boring Data Tasks

Data cleaning, enrichment, reconciliations, reporting pipelines, exports/imports, data consolidation, "last-mile" spreadsheets so humans stop doing robot work.

The Problem

Teams spend hours on manual data cleaning and reconciliation

Spreadsheet hell: endless imports, exports, and manual updates

Data quality issues causing errors and delays

Repetitive reporting tasks consuming valuable time

No time for analysis because of data preparation work

Common Data Pain Points

  • • Manual data cleaning takes hours
  • • Spreadsheet updates are error-prone
  • • Reporting is repetitive and time-consuming
  • • Data quality issues cause delays
  • • No time for analysis and insights

Common Data Chores We Automate

Data Cleaning & Enrichment

Remove duplicates, fix formatting, validate data quality

Time Saved:5-10 hours/week
Typical Roles: Data Analyst, Operations, Sales

Reconciliations

Match transactions, balance accounts, identify discrepancies

Time Saved:8-15 hours/week
Typical Roles: Finance, Operations, Accounting

Reporting Pipelines

Automated report generation and distribution

Time Saved:3-8 hours/week
Typical Roles: Analyst, Manager, Operations

Import/Export Automation

Automated data transfers between systems

Time Saved:2-5 hours/week
Typical Roles: IT, Operations, Data Team

Data Consolidation

Merge and consolidate duplicate records across systems

Time Saved:3-6 hours/week
Typical Roles: CRM Admin, Sales, Marketing

Spreadsheet Automation

Last-mile automation for complex spreadsheets

Time Saved:4-12 hours/week
Typical Roles: Finance, Operations, Analyst

The Outcome

Automated data pipelines that run without human intervention

Clean, reliable data available when you need it

Hours saved per week on manual data tasks

Reduced errors and improved data quality

Team can focus on analysis and insights, not data prep

Key Benefits

  • • Automated data pipelines
  • • Clean, reliable data
  • • Hours saved per week
  • • Reduced errors and delays
  • • Focus on analysis, not prep

What You Get

Data Pipelines

Automated cleaning, validation, and processing pipelines.

Spreadsheet Automation

Last-mile automation for complex spreadsheet workflows.

Reporting Automation

Automated report generation and dashboard updates.

Monitoring

Monitoring and alerting for data quality issues.

Economic Impact Example

Mid-size company with 5 data-heavy roles

Average 6 hours saved per role per week
5 roles × 6 hours × $40/hour = $1,200/week
Annual savings: $62,400
Plus: Reduced errors, faster insights, better decisions

Ready to Stop Doing Robot Work?

Let's identify the highest-impact data tasks to automate and free up your team for more valuable work.

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