Data and BI
Varied data in indexes, ready to be queried
For data and BI teams who get count, cut and chart requests all day. In DeepMiner, CSV, XLSX, JSON and NDJSON files become indexes with a schema, nested fields included. The business asks the AI assistant in natural language, and it shows the query that ran, then builds dashboards with KPI, Pareto and global filters. The data team looks after the schema and quality.
What holds you back today
Where the operation stalls and what changes.
-
The queue of small requests
Today
How many customers per state, which segment grew, how many accept marketing. Every question becomes a ticket.
With DeepMiner
The business asks the AI assistant and gets the answer with a chart. The View query button shows what was run.
-
Data that does not fit in a table
Today
JSON with lists inside, NDJSON exports and spreadsheets with changing columns need treatment before any analysis.
With DeepMiner
The schema accepts objects and lists of objects and is inferred from a sample document. New fields can be added later.
-
Dashboards nobody updates
Today
The panel depends on a manual extract and shows last month.
With DeepMiner
Widgets read straight from the indexes and refresh at the interval you set.
-
PII circulating in analyses
Today
A spreadsheet with CPF and phone numbers travels from email to email just so someone can run a count.
With DeepMiner
Sensitive fields are recognized, stay out of the AI prompt and do not appear in dashboard tables.
What the routine looks like
The path inside DeepMiner.
Define each index's schema from a sample and mark the key field.
Import the files or set up the import through the API.
Let the business ask the AI assistant, with the query visible for checking.
Build dashboards with AI or widget by widget, with global filters saved as the default.
The features that matter most
Three features that make the difference for this profile.
-
Data indexing
Import CSV, XLSX, JSON and NDJSON. Each dataset becomes an index with schema and types.
See the feature -
AI on your data
Ask in natural language. The assistant queries your indexes and returns the answer with the chart.
See the feature -
Dashboards
Configurable widgets, global filters, an AI assistant and automatic refresh.
See the feature
Who it is for
Data, BI and analytics teams that spend part of the week handling short count and cut requests, and that live with semi-structured data coming from operations, partners and legacy systems.
What changes in the routine
The data team defines the index schemas, marks the key field and looks after import quality, with the error report for each file. The business starts asking the assistant directly, which only queries the partner’s indexes and shows the query that ran.
Requests that turn into ongoing tracking go to dashboards. Whoever asked the question uses Add to dashboard, and the widget starts following the global filters and the refresh interval you set.
Frequently asked questions
Data and BI
Does DeepMiner replace the company's BI tool?
No. It covers the customer data that goes through the operation, with AI and dashboards on top. The corporate BI tool stays with the financial data and the other systems.
How do I check what the AI queried?
Every chart has View query, with the query that ran, and the raw result is available in the technical details of the answer.
Can the schema change after the import?
It can grow. New fields can be added at any time, and fields already saved become read-only so queries and dashboards do not break.
Which metrics do widgets calculate?
Count, sum, average, minimum, maximum, distinct values and percentiles, with grouping by value, by date or by range.
See DeepMiner working on your data.
Book a demo and watch a dataset get indexed, enriched and queried.