Which recurring reports can self-serve analytics replace?
The short answer
Self-serve analytics can replace any recurring report that answers the same fixed question each time. List every report your data team produces, score each on how often it runs, how many people use it and how much judgment it needs, and move the simple, frequent ones to standing questions the business team asks directly.
Why it matters
Recurring reports eat analyst time that could go into harder questions, and some are barely read. Retiring the simple ones frees the data team for work that needs judgment and gives business teams answers when they need them.
The question to ask
Copy this into Lexi as written.
What the answer looks like
Illustrative output on sample data
Illustrative example: how Lexi answers this for a furniture retailer whose data team produces 46 recurring reports. It sorts them by how often they run and whether the question changes.
- Includes reports run at least monthly that answer the same question each time.
- Excludes reports that need analyst judgment or legal sign-off.
- Result: 19 reports, about 52 analyst hours a month.
What the data shows
Weekly sales by store, monthly new customers by channel and pre-campaign opt-in counts are requested by three teams every week.
What it means
Those three reports alone take up a large share of the 52 hours, and each one already has a fixed definition.
What to do
Move those three to self-serve first, with the definition written down, then work through the rest.
Want me to set up the first three as standing questions?
Frequently asked questions
What is self-serve analytics?
Self-serve analytics lets business teams get answers from data without asking an analyst to build each report. In retail, that means a merchandiser, marketer or store manager can ask about sales, customers or stock directly. It works when definitions are shared and governed, so everyone gets the same answer to the same question.
Will self-serve analytics replace the data team?
No. It removes the repetitive requests, which frees analysts for work that needs judgment, such as forecasting, experiment design and data quality. The data team also owns the definitions self-serve answers depend on, so its role shifts from producing reports to keeping the numbers trustworthy.
How is ad hoc reporting in retail different from a standing question?
Ad hoc reporting answers a one-off question, often with a custom pull that someone has to build. A standing question is a fixed question asked repeatedly, such as weekly sales by store, that returns a fresh answer each time without new work. Moving repeat ad hoc requests into standing questions shortens the analyst queue.