Compare
DeepMiner or a spreadsheet with a BI tool
A spreadsheet with a BI tool is the most common way to analyze customer data: export, clean up, build the panel. It works well for reporting. DeepMiner covers what comes before and after the report: it imports datasets into indexes, lets the business ask in natural language, triggers SMS and RCS providers and receives the result of each send on the record, with dashboards on the same data.
Side by side
What each option solves.
Yes, partial or no, with an explanation for each case.
| Criterion | DeepMiner | Spreadsheet with a BI tool |
|---|---|---|
| Combine datasets in different formats | Yes CSV, XLSX, JSON and NDJSON become indexes with a schema. | Partial The spreadsheet opens tabular formats, and nested JSON needs treatment first. |
| Ask in natural language | Yes The AI assistant answers with a chart and shows the query. | Partial It depends on the BI tool's features and a prepared data model. |
| Dashboards with filters | Yes Widgets on the indexes, global filters and automatic refresh. | Yes It is the BI tool's strong point. |
| Send SMS or RCS | Yes Strategies with filters, provider and recurrence. | No The exported list goes to another tool. |
| Send result on the record | Yes The provider's webhook updates the status of each record. | No The result arrives as another export to cross-reference. |
| Sensitive fields | Yes CPF, CNPJ, phone and email recognized and kept out of the AI prompt. | Partial Protection depends on whoever builds and shares each file. |
| Advanced data modeling | Partial A schema per index, cross-referencing of summarized analyses between indexes. | Yes BI tools model relationships across many sources. |
Two ways of looking at your data
In the spreadsheet and BI routine, the data passes through many hands: someone exports, someone cleans, someone builds the panel. Each step holds a copy of the data, and the copy goes stale.
In DeepMiner, the data lives in one index. Whoever needs a number asks the assistant. Whoever needs to follow it builds a dashboard on the same index.
Where the difference shows
The difference shows after the report. When the analysis turns into a campaign, the exported spreadsheet goes to the sender, and the result comes back in a third export. In DeepMiner, the cut becomes the filter of a strategy, the provider sends and the webhook updates the status on the same record that was analyzed.
When to use both
Many companies will keep the BI tool for finance, sales and corporate indicators. DeepMiner comes in for the customer data your operation reaches out to, with its own AI and dashboards.
Frequently asked questions
DeepMiner or a spreadsheet with a BI tool
Do I have to give up my BI tool?
No. It keeps the corporate data. DeepMiner takes care of the customer data your operation imports, triggers and follows.
Can I export data from DeepMiner?
Yes. The AI assistant's charts export as CSV and PNG.
What if everything is already in a spreadsheet?
The spreadsheet goes in as XLSX or CSV into an index. From there it answers the assistant, feeds dashboards and serves as the base for flows.
See DeepMiner working on your data.
Book a demo and watch a dataset get indexed, enriched and queried.