Alkemi

What is Alkemi?

Alkemi is an AI-powered way to get data answers, reports, and recommendations directly inside Slack. Instead of using SQL or switching tools to request dashboards, teams can ask questions in plain English in a channel and receive responses grounded in their data.

The core purpose is to help users move from questions to insights in seconds while keeping responses aligned with their systems of record. Alkemi also supports collaboration by letting team members build on answers and reports in real time.

Key Features

Ask questions in Slack channels using plain English, reducing the need for SQL or external requests
Governed answers grounded in a company’s systems of record, paired with permission controls and audit logs
Generate instant outputs such as charts, summaries, and analysis without waiting on dashboards or analyst availability
Build and refine insights collaboratively in-thread, including refining questions and extending reports
Create guided access to business metrics that supports decision-making workflows like revenue and performance analysis

How to Use Alkemi

Install the Alkemi integration in your Slack workspace.
Link your data sources using enterprise-grade permissions (as described on the page).
In Slack, type a data question directly in a channel (for example, asking for period-over-period changes or segment-level results).
Review the answer in the thread, including any charts or summaries Alkemi generates.
Have teammates continue the conversation in-thread to refine the question or build on the resulting report.

Use Cases

Revenue performance analysis: Identify what changed versus the last period and understand which revenue drivers contributed to the change (including real-time attribution for each driver, as stated on the page).
Demand and channel tracking: Monitor where demand is moving in real time, including who gained share and what is driving the change.
Pricing and margin review: Detect margin leaks and competitive pressure before they impact the P&L, based on the page’s described capabilities.
Category growth and assortment insights: Map category growth and shifts in brand share, and identify assortment gaps.
Team decision workflows in Slack: Enable teams to ask for numbers during discussions and continue iterating in-thread until the report is sufficient for next steps.

FAQ

Does Alkemi require SQL?

No. The page states you can “ask your data question right in the channel” without SQL.

Where do answers show up?

Answers, charts, and reports appear in Slack threads, so the work stays in the conversation where decisions are being made.

Are responses tied to company data and permissions?

Yes. The page says responses are grounded in systems of record and include permission controls and audit logs.

Can multiple people collaborate on the same insight?

Yes. Team members can jump into threads to refine questions and build on reports together.

What kinds of outputs can Alkemi generate?

The page describes instant reports including charts, summaries, and analysis.

Alternatives

Spreadsheet-based analysis and reporting: Teams can compute metrics in spreadsheets and share static views, but this typically requires more manual steps and can’t keep the analysis in the same Slack conversation.
BI dashboards and self-serve analytics tools: These can generate charts and reports, but the workflow often involves waiting for dashboard availability or navigating to separate interfaces.
Analyst-driven data requests: Teams can submit requests to analysts for reporting, though this generally introduces delays and additional context switching.
Generic chatbots without data grounding and governance: A plain assistant may answer questions, but the page specifically emphasizes governed, permission-controlled, audit-logged responses grounded in systems of record.