“I work in Business Intelligence. What can intouch do for me?”

For BI work, InTouch acts as the orchestration and watchdog layer around the stack you already have — it doesn't replace your warehouse or dashboards, it runs the plumbing and tells you when something's off. Concretely:

Extract → load → transform → dependent extract → dashboard refresh, wired as one workflow where each step waits on the last. If step 3 fails, step 4 doesn't publish yesterday's numbers as today's — the chain just stops and you get told.

A check runs before anyone logs in: did the source file land, is the row count in range, is max(date) actually today, did the fact table grow. You hear about a broken feed at 6am from InTouch, not at 9am from a director.

Build the pack, render to Excel/PDF, send to a distribution list on schedule. Tableau extracts can be refreshed or exported directly. Kills the recurring "can you send me that report again" Slack message.

Compare the number in the warehouse against the number in the source system nightly, and only message on a mismatch. One of these ends more credibility arguments than a new dashboard does.

The ad-hoc query someone asks for every month becomes a scheduled workflow with their name on the distribution list — build it once.

Sources it talks to: SQL (the usual RDBMS list), Snowflake, Databricks, ClickHouse, MongoDB, Cassandra, plus S3, SFTP, HTTP/REST, Excel/CSV, and Google Sheets/Drive. There's also a dataframe tool for joins/aggregation between steps when the transform doesn't belong in SQL.

Want me to build one of these now — say, a freshness check on a specific table, or a scheduled report send? Tell me the source/warehouse and I'll wire it up.