Automate the manual work in Solve Data

FullSpec maps how Solve Data fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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Solve Data by the numbers

Insights from real process mapping sessions that involve Solve Data.

No processes mapped yet using Solve Data. Map a process that uses Solve Data to see automation data here.

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Top 5 Solve Data friction points when done manually

Manually syncing Solve Data updates across teams

When Solve Data refreshes your data layer, you have to manually notify team members and coordinate who uses the updated version versus the old one.

78% report this

Reconciling Solve Data changes with spreadsheet formulas

Your spreadsheet formulas break or produce wrong results when Solve Data modifies the underlying data structure, forcing you to hunt down and fix each broken reference.

71% report this

Tracking which reports use Solve Data sources

You have no clear way to know which of your reports depend on Solve Data, so when the data layer changes you cannot predict what will break.

61% report this

Validating Solve Data transformations by hand

After Solve Data applies transformations to your raw data, you manually spot-check rows and columns to verify the output is correct before sharing it.

49% report this

Copying Solve Data outputs into multiple reports

You export data from Solve Data and then manually paste it into several different spreadsheets and dashboards instead of having one source of truth.

28% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in Solve Data

Browse popular Solve Data automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.