AI for Data Analysts: From Numbers to Decisions
An analyst's real product isn't tables, it's the decision they drive. Drafting queries, translating charts into executive language, writing weekly report intros — that's where time goes. Ryna AI reads your Excel files, summarizes, and drafts the executive narrative.
Ryna AI Editorial Team · Updated 25.02.2026
An analyst's real job isn't running the query — it's turning the number that comes back into a story someone will act on. The dashboard is built, the pivot ran, the figure is in hand — but when the exec asks 'so what does this mean?' at 5pm, there's neither time nor patience left to write that 'so what' line. On top of it sits a steady drip of small-but-interrupting asks: 'can you check this XLOOKUP', 'why does this SQL throw an ambiguous-column error'. Some industry surveys find analysts spend 60–80% of their time finding, cleaning and preparing data, leaving very little for the interpretation and narrative that actually matter.
Ryna AI steps in at exactly that interpretation-and-communication layer. Paste your metric movements, pivot table or cohort data; Ryna turns it into an insight summary structured as 'what changed, why it might have, what to do', a three-bullet exec brief, or a one-to-two-sentence caption to sit under a dashboard chart. Ask for an Excel/Google Sheets formula (INDEX-MATCH, XLOOKUP, array formulas) or SQL and get the explanation alongside it. On Plus you can upload a dashboard screenshot and ask 'what stands out here, what should I flag' (image analysis), upload a CSV/Excel export or PDF report, switch on deep thinking for ambiguous 'why did it drop' questions, and use web research for market benchmarks.
Everything Ryna produces is a first draft you own and verify. It doesn't connect to your warehouse or BI tool and it won't invent your numbers — you supply the data, it builds the skeleton of the interpretation. It doesn't draw the chart either (no image generation); you build the chart in Excel/Looker/Tableau, it writes the words around it. Double-check every ratio or total it derives in your own tool. The free plan gives near-unlimited daily messages — dozens of insight drafts, formulas and summaries a day; only file/image uploads, deep thinking and web research come with Plus (399.99 TRY/month).
Why use Ryna AI for this
Numbers to narrative: paste metric movements or a pivot → an insight summary structured as 'what happened, why it might have, what to do'.
Exec brief: compresses a three-page analysis into a one-paragraph 'so what' + three action items; tunes tone for a CFO, a product team or a customer.
Formula help in one place: Excel/Google Sheets (XLOOKUP, INDEX-MATCH, array & dynamic-array formulas) and SQL — describe it, get the formula plus why it works.
Root-cause hypotheses: 'MAU dropped 12%' → a list of likely causes and which segment/cut to check to confirm each; it won't lock onto a single explanation.
Dashboard narrative: captions to sit under each chart, exec notes for a KPI board, report call-outs.
Image interpretation (Plus): upload a funnel or KPI dashboard screenshot → biggest drop-off, anomalies, and points worth flagging.
Example prompts
Copy any prompt below and paste into chat.rynaai.com. Each prompt is tuned for a different scenario — try them all to see how Ryna AI adapts.
How it works — step by step
- 1
Bring the data and the context
On chat.rynaai.com, paste the numbers to interpret, or on Plus upload a CSV/Excel export, PDF report or dashboard screenshot. State the metric, period, unit and audience too: '12.4K TRY, quarterly, YoY, for the CFO' — a clear frame yields a clear read.
- 2
Sharpen the question
Don't just say 'interpret this.' Ask for 'what changed, why it might have, which action', or say who it's going to — the same data is framed differently for leadership, a product team and a customer. Specify the format too: one paragraph, a bulleted brief, or a dashboard caption.
- 3
Take the draft and challenge it
When the insight draft arrives, don't accept it — press: 'what data confirms this hypothesis?', 'is there an alternative explanation?', 'what's the weakest point in this reading?' Ryna produces counter-arguments; you close the holes before it reaches leadership.
Example: input → output
You ask
Monthly active users, last 3 months: Apr 82,000, May 88,000, Jun 77,000. In June mobile -18%, web +3%, new signups flat. Short insight for leadership + 3 actions.
Ryna AI returns
**Summary:** MAU fell 12.5% in June vs May (88,000 → 77,000). The decline is entirely mobile-driven (mobile -18%), while web grew slightly (+3%). With new signups flat, the problem isn't acquisition — it looks like retention of existing mobile users. **Likely causes (to confirm):** 1. A mobile app release shipped in June (a crash or a flow change). 2. A mobile push/notification campaign that stopped or was scaled back. 3. A seasonal effect (holiday/school period). **3 actions:** 1. Line up the June mobile release date with the day the MAU drop began — check for a regression. 2. Compare mobile D7/D30 retention cohorts, May vs June. 3. Check crash-free rate and app-store rating/reviews for June. **Note:** the 12.5% is from the totals you gave; verify the segment breakdown in your own board. The 'why' items are hypotheses — confirm against cohort data before putting them in a report. This is a draft; tell me if you want the tone tightened for leadership.
Pro tips
- Don't paste a raw table and say 'calculate' — Ryna isn't a BI engine and can slip on row-by-row arithmetic over large tables. Compute the SUM/AVG yourself and let it interpret: give it numbers to make sense of, not to 'calculate'.
- Always state unit and period: '12% drop' relative to what? A line like '88,000 → 77,000, monthly, not seasonally adjusted' kills a wrong-scale reading up front.
- Name the audience upfront — the same 5% churn is framed as a risk for the CFO, a backlog item for the product team, and an 'improvement plan' for a customer.
- Ask it to 'argue the other side': before taking an insight to leadership, have Ryna flag alternative readings and any claim the data doesn't support.
- Save deep thinking (Plus) for genuinely ambiguous root-cause questions; for a simple summary or a formula, normal mode is faster and enough.
- When pulling benchmarks via web research (Plus), always check the source and date — 'industry average' figures age fast and their definitions vary.
Common mistakes to avoid
- ✕Pasting a giant raw CSV and saying 'calculate, then interpret' — give aggregates, do the arithmetic in your own tool, leave the interpretation layer to Ryna.
- ✕Saying 'interpret this' with no unit, period or definition — if it's unclear what the percentage is relative to, the read comes out hollow.
- ✕Putting a ratio or total Ryna derived straight into a report without checking it — especially when it did the math, verify once.
- ✕Expecting it to draw the chart — Ryna doesn't generate images; you build the chart in Excel/Looker/Tableau, it only writes the narrative around it.
- ✕Locking onto the first hypothesis for 'why did it drop' — don't settle for one answer; ask for 3–4 alternatives and how to confirm each.
Who this is for
Data analysts, BI specialists, product analysts, and financial analysts.
FAQ
Does Ryna pull my data itself, or connect to my database or BI tool?
No. Ryna doesn't connect to your warehouse, to Looker/Tableau/Power BI, or to your SQL server. You paste the numbers, or on Plus upload an export/report; it interprets, summarizes and writes formulas. That's also a safety win: it can't accidentally touch live data.
Can it analyze a CSV, Excel file or PDF report I upload?
Yes — file/PDF analysis comes with Plus (399.99 TRY/month); upload the export or report and ask 'what stands out, what anomalies are there'. For very large datasets don't expect it to process everything; give an aggregated summary or a representative sample and the read gets sharper.
Will it interpret my dashboard screenshot?
Yes — image analysis is available on Plus; upload a funnel or KPI screenshot and it names the biggest drop-off, the anomalies and what to flag. But it can't draw a new chart; Ryna doesn't generate images, it only reads and narrates what's there.
Can I trust the numbers and reads it gives me?
Ryna is an interpretation and drafting aid, not a system of record. Verify every ratio, total and formula it derives in your own tool; 'why' reads are hypotheses that need confirming against data. Nothing it produces is investment or financial-decision advice — you make the call, with the accountable teams.
Is the free plan enough for an analyst?
For day-to-day work, more than enough: text-based insight summaries, exec briefs, Excel/SQL formulas and dashboard captions are near-unlimited on free. File/image uploads, deep thinking for ambiguous root-cause work, and web research for benchmarks unlock with Plus (399.99 TRY/month).
Related use cases
Free — near-unlimited daily messages
No credit card. Plus at $12/mo (399.99 TRY) unlocks image analysis, file analysis (PDF/Word/Excel), deep thinking, web research, and assistants.