Automatically Export & Sync ClickUp Data to Looker Studio
Flatly automatically enriches some fields in some ClickUp data sets if they contain Custom Fields. Your resulting data will contain extra columns, created by Flatly, which are labeled by a combination of the prefix "flatly_enriched" and a suffix derived from your Custom Field's label. The values under these enriched columns will be useful and interpretable by human users, instead of being identifiers meant for computer programs.
Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.
Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.
Opening a CSV file from Google Cloud Storage in Looker Studio is straightforward and takes only a few clicks. Importantly, a CSV file can be larger than 10 million cells, whereas a Google Sheet is limited to 10 million cells.
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