Complex KPI frameworks
Multiple business domains and metric levels make definitions and cross-table checks time-consuming.
For pharmaceutical and medical-device businesses, AI4BI connects sales, marketing, procurement, compliance, and other data sources. Teams ask questions in natural language, then bring analysis, review, and recommended actions into day-to-day operations—turning reports into an organizational capability that keeps improving.
When metric definitions, data sources, and analysis are spread across teams, business questions are harder to turn into timely, reliable action.
Multiple business domains and metric levels make definitions and cross-table checks time-consuming.
Analysis depends on a few people who know the data and the business, making their expertise difficult to reuse consistently.
Requests, data extraction, and reporting add steps that slow business response.
Insights stay outside collaboration workflows, making follow-up difficult to sustain.
AI4BI provides the data and analytics foundation. Business teams and experts validate results, while operational feedback flows back into metrics, templates, and analytical knowledge.
Bring internal and external data together, align key metric definitions, and manage access by role and data permission.
Ask about sales, targets, year-over-year or period-over-period changes, institutions, and channels.
Generate charts and analytical leads, with drill-downs, filters, attribution, and follow-up questions.
Business owners check definitions and conclusions, then use their operational expertise to determine follow-up.
Govern validated definitions, cases, templates, and expert judgment for continuous improvement.
After review, validation notes, business actions, and new data update knowledge, metric definitions, analysis templates, and agent configurations.
Move from experience held by individuals to intelligence carried by workflows, making data, knowledge, and process capabilities reusable organizational assets.
The capabilities support the full process: start with a business question, analyze and explain the result, collaborate, and bring it into a decision.
Teams can query metrics, compare trends, inspect details, and ask follow-up questions in conversation—making self-service analysis easier.
Recommend and generate charts from query results to reveal composition, trends, and business differences.
Identify metric changes and contributing factors, then provide leads and recommendations for business teams to validate.
Turn Q&A and analysis into structured reports, with export and collaboration options such as PowerPoint.
Create scenario-based query and analysis templates for everyday questions, so shared data capabilities support the work of different teams.

Review regional and product performance, target progress, account coverage, and visits to spot differences and plan follow-up.

Track order volume, progress, and budget use; compare supplier delivery, quality, and reliability.

Query meeting, marketing expense, and reimbursement data; flag anomalies for review.

Analyze procurement impact by province, institution type, and product to identify priority accounts and business changes.

Upload a business spreadsheet and ask questions about it for ad hoc tracking, project reviews, and lightweight insights.

Access the analytics assistant on desktop and mobile to query, filter, and drill down—connecting field questions with back-office analysis.
Pharmaceutical analytics must balance usability, data security, and compliance. AI4BI supports governed queries through access controls, sensitive-data protection, and audit logs. Specific policies are configured to fit each organization and project.
Grant access by user, role, and data scope to enforce isolation and least-privilege access.
Apply masking rules to control how sensitive information appears in analysis.
Keep login, download, and other activity logs for audits and investigation.
Business and compliance teams review critical interpretations and recommendations against established rules.
Coverage of relevant information in target data to support high-confidence answers.
Accuracy for pharmaceutical-domain questions and specialized scenarios.
End-to-end retrieval and reranking latency at 30 concurrent requests.
Search results and the first response begin within 30 seconds at 30 concurrent requests.
Automate charts, presentations, and analysis reports to reduce manual reporting time.
Second-level Q&A helps frontline teams find data and analyze it independently.
Unify internal and external data sources for standardized management and more effective data flow.
Help business teams get insights and make decisions without relying on IT or data teams.
Support governance with role-based access, auditability, and sensitive-data masking.
Support focused operations across sales, marketing, procurement, compliance, and volume-based procurement.
Work with our solution team to identify a fit for your data, key business steps, and governance needs. Bring a typical business question, the metrics you track, and the actions you want to connect.
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