DatabasesConnect to any database and analyse your data instantly·FilesUpload CSV or Excel files and explore them with AI·ChatAsk questions in plain language — chat with your data·DashboardsBuild interactive dashboards from your queries in seconds·AILet AI write the SQL so you don't have to·ChartsVisualise trends with auto-generated charts and graphs·No-codeZero SQL knowledge needed — just ask in plain English·ShareShare live dashboards with your team in one click·InsightsSurface hidden patterns and outliers in your data automatically·ExportsDownload results as CSV, Excel, or PNG charts instantly·DatabasesConnect to any database and analyse your data instantly·FilesUpload CSV or Excel files and explore them with AI·ChatAsk questions in plain language — chat with your data·DashboardsBuild interactive dashboards from your queries in seconds·AILet AI write the SQL so you don't have to·ChartsVisualise trends with auto-generated charts and graphs·No-codeZero SQL knowledge needed — just ask in plain English·ShareShare live dashboards with your team in one click·InsightsSurface hidden patterns and outliers in your data automatically·ExportsDownload results as CSV, Excel, or PNG charts instantly·
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Blog›Operations

Your operations KPI dashboard, built by asking questions

Ops data lives across your ERP, CRM, and ticketing tools. AnalityQa AI AI pulls it together and answers your KPI questions in seconds — no SQL, no waiting on BI.

Try AnalityQa AI AI free →See live examples
Operations warehouse with KPI monitoring

The problem

  • →Weekly ops reports take hours to compile from Zendesk, Jira, NetSuite, and internal databases.
  • →By the time SLA breaches or fulfillment delays appear in reports, the damage is already done.
  • →Operations managers cannot run ad-hoc queries without filing tickets to the data team.
  • →KPIs are inconsistently defined across teams, so the same metric shows different numbers in different reports.

Why the usual approach breaks down

Data scattered across disconnected systems

Support tickets live in Zendesk, order data in NetSuite, engineering work in Jira, and inventory in a custom internal database. Joining these sources for a single view requires either a data warehouse or hours of manual CSV merging every week.

Ops managers are not SQL-fluent

Even when data access exists, querying it requires SQL knowledge most operations teams do not have. The result is constant dependency on analysts for questions that should take minutes.

Static weekly reports miss anomalies in real time

A spike in queue length or a warehouse fulfillment delay that starts Monday may not appear in the Friday report. By the time anyone acts, the backlog has compounded.

How AnalityQa AI AI solves it

Upload your data — or connect it live — and ask in plain English.

01

Connect your internal database or upload CSV exports

Point AnalityQa AI AI at your PostgreSQL or MySQL database with read-only credentials, or upload CSV exports from your ERP and ticketing tools. The connection is encrypted and never used for writes.

02

Ask KPI questions in plain English

Type questions like "Which warehouse had the highest fulfillment delay last month?" or "Show me SLA breach rate by support team for Q1." AnalityQa AI AI translates them into queries and returns charts or tables immediately.

03

Auto-refresh dashboards on a schedule

Pin your most important KPI charts to a dashboard and set a weekly or daily refresh. Your Monday morning ops review loads with current numbers — no analyst required.

04

Anomaly detection without manual monitoring

AnalityQa AI AI flags when a metric deviates significantly from its recent baseline — a sudden drop in on-time delivery rate or an unusual spike in ticket queue length — so you can act before it becomes a crisis.

05

Secure, isolated data processing

AnalityQa AI AI holds only what you upload or connect, data is encrypted and isolated per tenant, and you can delete it at any time. Suitable for operations data that includes personal information.

You askedGenerated in 4.2s

"Show me the SLA breach trend for the last 12 weeks by support team."

Total

12,840+9.2%

Average

324+4.1%

Top segment

38%+2pp

Line chart: weekly SLA compliance rate by support team

Last 12 mo

Grouped bar chart: avg resolution time by team, QoQ comparison

Segment ASegment BSegment CSegment DSegment ESegment F

Table: top 5 warehouses by fulfillment delay count with category breakdown

A dashboard built in AnalityQa AI — from question to chart, no SQL.

Real examples

Paste your data. Ask. Ship.

You

Show me the SLA breach trend for the last 12 weeks by support team.

AI

AnalityQa AI AI queries your ticket data, groups breaches by team and ISO week, and renders a line chart with one series per team. It highlights the two teams whose breach rate increased more than 15% over the period.

Line chart: weekly SLA compliance rate by support team
You

What is the average ticket resolution time by team this quarter, compared to last quarter?

AI

AnalityQa AI AI calculates mean resolution time per team for both periods and produces a grouped bar chart. Teams where resolution time worsened quarter-over-quarter are marked in a distinct color.

Grouped bar chart: avg resolution time by team, QoQ comparison
You

Which warehouses had the most fulfillment delays in March, and what categories were affected?

AI

AnalityQa AI AI joins your order and fulfillment tables, filters to March, and ranks warehouses by delay count. It breaks down delays by product category for the top five warehouses.

Table: top 5 warehouses by fulfillment delay count with category breakdown
You

Plot on-time delivery rate by week for the past 6 months.

AI

AnalityQa AI AI computes the weekly ratio of on-time shipments to total shipments and renders a line chart. It annotates weeks where the rate fell below your 95% target.

Line chart: weekly on-time delivery rate with target threshold annotation
You

Is there seasonality in order volume, and what does next month look like?

AI

AnalityQa AI AI decomposes your order volume time series into trend and seasonal components, then projects the next four weeks using historical patterns. The forecast includes a confidence interval.

Forecast chart: order volume with seasonal decomposition and 4-week projection
You

Flag any unusual spikes in support queue length over the last 30 days.

AI

AnalityQa AI AI calculates a rolling baseline and standard deviation for queue length, then marks days that exceed two standard deviations. It surfaces the three largest anomalies with timestamps.

Annotated line chart: daily queue length with anomaly markers

What teams get out of it

✓Daily ops review preparation time cut by more than half — dashboards refresh automatically before the standup.
✓SLA breaches detected days earlier on average, reducing the number that escalate to customer-visible incidents.
✓Operations managers run their own ad-hoc KPI queries without filing requests to the data team.
✓Consistent KPI definitions across teams, since all metrics are computed from the same connected source.

Frequently asked questions

Can AnalityQa AI AI connect directly to our ERP like NetSuite or SAP?+

AnalityQa AI AI connects to PostgreSQL and MySQL databases. If your ERP exposes data through one of those (common for self-hosted or cloud ERP deployments), you can connect directly. Otherwise, you can upload CSV or Excel exports from any ERP — most support this out of the box.

Is it safe to give AnalityQa AI AI access to our production database?+

AnalityQa AI AI connects with read-only credentials and never issues INSERT, UPDATE, or DELETE queries. We recommend creating a dedicated read-only user with access limited to the schemas you want analyzed. The connection is encrypted in transit.

Can dashboards refresh automatically without someone logging in?+

Yes. You can schedule dashboards to refresh daily or weekly. AnalityQa AI AI re-runs the underlying queries on your connected database or the most recent uploaded file and updates the charts. You can have a current ops dashboard ready before each morning review.

Does AnalityQa AI AI store a copy of our operations data?+

Uploaded files are stored for as long as your account is active and deleted when you remove them. For live database connections, AnalityQa AI AI queries on demand and does not cache result sets beyond the current session unless you explicitly save a chart or dashboard.

What does it cost, and is there a limit on how many KPI questions we can ask?+

AnalityQa AI AI is priced per workspace, not per query. You can ask as many questions as your team needs. Details are on the pricing page; a 14-day free trial is available without a credit card.

Can operations managers with no data background use this without training?+

That is the core design goal. If you can describe what you want to know in a sentence, AnalityQa AI AI can produce the chart or table. There is no SQL, no formula syntax, and no dashboard-building interface to learn. Most users get their first useful chart within five minutes of connecting their data.

Can we monitor KPIs from multiple data sources in the same dashboard?+

Yes. You can connect multiple databases or upload multiple files and combine them in a single dashboard. AnalityQa AI AI handles the join logic when you ask a question that spans sources, as long as there is a common key (order ID, date, team name) to link them on.

Related guides

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Customer Churn Analysis Without the Spreadsheet Grind

Your data has answers. Start asking.

Upload a file or connect your database. Your first dashboard, in under 5 minutes.

Try AnalityQa AI AI free →

No credit card required

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