Manual spreadsheet processes slowing you down

• Time is lost producing regular reports.

• The majority of effort expended is taken by administrative or low-skill process steps.

• There is common data but each member of staff obtains it in their own way so there is duplication of effort and inconsistency in the output.

Reports involve complex data processing

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• Staff manually collect data from a range of sources.​

• Significant time is spent preparing data before it can be used for reporting.

• Combining datasets requires a lot of manual steps.

Can't commit to permanent data resource

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• Your organisation may understand the value of data engineering but can't commit to hiring permanent staff at this time.

• You want to remove the usual lead-time associated with interviewing, on-boarding and training.

• You want automation quickly and without an expensive IT project.