An AI assistant for analysts: merging exports, cleaning data and finished reports
Conclusions and interpretation stay with you. The assistant takes the preparation: it merges exports from different systems, cleans duplicates and inconsistencies, calculates the recurring metrics, writes the explanatory note and proposes the dashboard structure.
What it does
- merges exports from different systems into one table with shared reference data
- cleans the data: duplicates, gaps, and the same thing spelled several ways
- calculates the recurring metrics and lays them out as a finished report
- writes a plain-language note on the figures for management
- drafts a dashboard: which cuts to show and why
What it does not do
The limits are set in advance
- does not replace your interpretation: a person draws the conclusions from the figures
- does not make decisions on the basis of the data
How much time it frees up
By our reviews, an analyst spends roughly
16 hours a week on the routine listed above — more than a third of the working week. The assistant does not take all of it: some tasks you will still be checking. But checking something finished is faster than doing it from scratch, and the gain lies in exactly that difference.
How it works
The assistant plugs into the channels where the work already happens: email, messengers, spreadsheets. It does not require the company to move to a new system — on the contrary, it works through what has piled up in the current one.
How the assistant handles an analyst's tasks
One table from five exports
The CRM identifies customers by one ID, billing by another, the warehouse by SKU and marketing by email. The assistant merges the exports by your matching rules, brings the reference data to one form and shows what did not match: 37 customers with no ID in billing, 12 SKUs spelled two ways. You decide on the contested rows instead of hunting for them.
Cleaning: duplicates, gaps, the same thing spelled several ways
"Romashka LLC", "LLC Romashka" and "romashka" are three rows for one counterparty. The assistant finds such cases, proposes merges showing the originals, fills gaps by the rules you set and flags what cannot be filled. A cleaning log — how many rows were touched and why — accompanies the data so the result can be verified.
Recurring metrics in a finished report
The weekly report is the same metrics in the same format: revenue by channel, conversion by stage, average order, churn. The assistant calculates them from the merged data, lays them out in your template with charts and a comparison to the previous period, and marks where a variance went beyond the threshold. The report is ready on Monday morning before you open the laptop.
An explanatory note for management
Numbers without words breed "why did it drop" questions. The assistant writes a half-page note: what changed, by how much, in which segments, what is seasonality and what needs attention — in plain language, without "negative dynamics are observed". You edit the interpretation — that is your part — and send.
A dashboard draft: which cuts and why
Before building a dashboard in BI the assistant prepares the structure: which questions management asks most often, which metrics answer them, which cuts and filters are needed, what goes on the first screen and what into the details. With a rationale for each block. You build the dashboard from a ready scheme instead of redoing it three times after the demo.
What the dialogue looks like
You: Build the weekly report: the CRM, billing and ad account exports are in the folder. Same format as last time.
Assistant: Merged. 37 billing customers did not match — list attached, they look like new deals without a CRM ID. Report ready in your format: revenue +6% on last week, enquiry-to-payment conversion fell from 18% to 14% — mostly in the paid search channel.
You: Check whether it is the new campaigns. And write the note.
Assistant: Checked: the two campaigns launched on Tuesday produced 41% of enquiries and 9% of payments — the drop sits there, other channels are normal. The half-page note is ready; I left the conclusion about the campaigns for your review.
What we need from you at the start
- Data sources and how to export them: systems, formats, frequency.
- Matching rules and reference data: which fields to join on, how to name categories.
- The recurring report template and two or three finished reports from previous periods.
- Thresholds: which variance counts as material for each metric.
Implementation timeline
The first conversation — which reports you build regularly and how long data preparation takes. Setting up for your sources and templates — four to five days. Two reporting cycles in parallel: the assistant builds, you compare with what you would have done. Usually from the second cycle the check comes down to reviewing the contested rows.
Frequently asked questions
Will the assistant replace a BI system or Python scripts?
No. It works on top: it prepares data for BI, and for recurring calculations it can use your own scripts. You get clean data and a finished report while the tools stay the same.
No. It works on top: it prepares data for BI, and for recurring calculations it can use your own scripts. You get clean data and a finished report while the tools stay the same.
Can I check what it did to the data?
Yes, that is a mandatory condition. Every result comes with a log: which rows were merged, which gaps were filled and by which rule, what was flagged as contested. Nothing changes silently.
Yes, that is a mandatory condition. Every result comes with a log: which rows were merged, which gaps were filled and by which rule, what was flagged as contested. Nothing changes silently.
Does the assistant draw conclusions from the data?
It describes what changed and where, and flags what went beyond the thresholds. The interpretation — why it happened and what to do — is left to you: those places in the note are marked as needing your decision.
It describes what changed and where, and flags what went beyond the thresholds. The interpretation — why it happened and what to do — is left to you: those places in the note are marked as needing your decision.
What does it cost and what do I pay for later?
Task review and configuration of one assistant — from ₽12,000 (≈ $142), usually 5–7 days; with many sources the timeline is confirmed after the review. Then support from ₽4,000 (≈ $47) a month if you need changes and new scenarios; without support the assistant keeps working.
Task review and configuration of one assistant — from ₽12,000 (≈ $142), usually 5–7 days; with many sources the timeline is confirmed after the review. Then support from ₽4,000 (≈ $47) a month if you need changes and new scenarios; without support the assistant keeps working.
What it costs
Task review and configuration of one assistantfrom ₽12,000 (≈ $142)
An extra task beyond the basic fivefrom ₽3,000 (≈ $36)
Training for you or a member of stafffrom ₽5,000 (≈ $59)
Support and adjustments, per monthfrom ₽4,000 (≈ $47)
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