AI-Driven Insights are on the Rise - WhizAI Paves the way with Anomaly Detection and Key Driver Analysis
The wait is over. Users now have immediate access to the data and AI predictions without having to wait for middle-man analysis, saving organizations time and money they can’t afford to waste.
The exciting launch of the next release of WhizAI leaves a passive process in the past. With newly enhanced, automated anomaly detection, users receive proactive alerts to deviations that prompt necessary corrective action, benefiting both brand managers and salespeople. Based on historical data, WhizAI uses a range of prediction algorithms to automatically and efficiently generate predictions for your metric of interest..
Benefits, from the top, down.
Automated anomaly detection will provide brand analysts or managers, for example, with alerts for new-to-brand and total prescriptions variance to the projected forecast range to actuals. Based on these alerts, they can run an exploratory or deep dive analysis to understand the key drivers of this variance and take corrective action. This allows analysts or managers to report estimates to senior management, investors, and potential partners, providing more accurate analysis for short, medium and long-term planning.
More importantly, WhizAI is now able to automatically predict at the territory level, linking anomalies to behavior changes in sales teams. Up until now, this used to be a lengthy, manual process due to excessive, unexplored data, leaving sales reps and their customer base out of the equation. Negative anomalies can now predict unmet sales goals or encourage repetition of positive deviations which is important because this data accounts for new products and lesser known response rates for varying therapeutic areas.
Anomaly detected. What’s next?
With Key Driver Analysis in beta, WhizAI prioritizes fast, corrective action for organizations and their teams. KDA might prompt increased calls, sample drops to physicians, or non-personnel product promotion if sales and performance goals aren’t being met; and it could also reinforce current behaviors if outcomes are positive.
When it comes to insight management, WhizAI continues to provide the best path to better, smarter and faster decision-making:
- Anomaly detection is automated and based on relevant, historical data.
- We answer the WHY for you with integrated key-driver analysis.
- Predictions are the future: We continue to beta test prediction capabilities with key customers.
Additional Product Enhancements Ahead
Expanding Cognitive Computing Areas
WhizAI continues to expand its NLP and narrative capabilities by integrating timeline intelligence improvements and by customizing narratives based on intent with enhancements to our editor. Users can now ask questions that conduct analysis with multiple time periods all within the same response.
This allows a single report to show actual percentage and merit change for multiple time periods: short, medium, and long term performance of a brand or total prescriptions.
By creating an easy drag-and-drop editor, WhizAI has made it easier for Brand Analysts to create narratives or extended narratives, without needing additional tech or analysis assistance.
WhizAI Incorporates Pinboard Organization
Pinboard organization allows users to create logical tags and labels for arranging integral information into practical subject areas for deployment. This means that brand analysts can now group their reporting into organized subject areas and provide contextual searches for their end users; which allows them to interpret information that aligns with their ‘favorites.’ This can be extremely valuable when it comes to creating organizational structure around report areas like clinical trials, sales performance, or call management.
Metadata Definitions: Understanding Reports and Pinboards
Introducing metadata definitions means users can now tightly integrate centralized data definitions into WhizAI. When users review invoice dashboards and reports, they now have access to centralized definitions, like TRX. Data definitions act like a centralized glossary, providing standard definitions and context for what users are seeing when they look at reports and pinboards.
Centralized metadata is now integrated with products like Collibra, streamlining and providing consistent definitions of metadata across WhizAI solutions.
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