First, give conclusions that can be used for decision-making
The credibility of AI's business analysis is largely derived from data and query governance rather than model language skills. Main data and indicator calibrations determine what “client” “orders” “income” refer to, respectively; semantics map business words to controlled fields, dimensions and calculations; access layers limit the organization and range of data that users can query; executive layers limit SQL, scans and sensitive fields; and answer layers display calibres, time, source and anomalies.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Select 10 to 30 real business issues to establish a baseline.
Validation Key Dependence
Collating indicators, dimensions, synonyms, permissions and query templates.
Development of assessable outcomes
Limit the scope of the query and verify that the results are consistent with the existing report.
Make sure you decide the next step with the real results.
Add the questions of no answers, ambiguity and error to the regression test.
How do you understand it in the actual business?
Users ask “New clients this month” whether the system will first confirm the new entry on first-time or first-time slots, then search for the user’s organizational privileges, show the time and calibre, and allow for client details. If the company has two calibres, the assistant will be asked to choose instead of to decide.
The easiest pit to step on.
Hand over the database structure to the model for free generation query
The only number of different sectors still returned.
Compares text flow only and does not reconcile with authoritative statements
How should we end up receiving and confirming?
Check semantics, SQLs or search schemes, privileges, numbers, calibres and sources using fixed set of questions; the ambiguity, excesses, super-high inquiries and missing indicators should be rejected or clarified correctly.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.