A strategy that will result in more users building data-driven decision making into their workflows is to deploy an augmented consumer platform. Augmented analytics not only analyze data.These platforms also use forms of artificial intelligence (AI) to make it easier for users to interact with them.
WhizAI’s augmented consumer platform for pharma analytics is built from the ground up to provide a user experience that makes data insights, not using technology, the focus.
How WhizAI Provides Easy Access to Pharma Analytics
- Natural Language Processing Engine:
WhizAI combines deep learning and linguistic techniques, such as natural language query (NLQ) that allows users to ask questions as if they were speaking to a colleague and natural language generation (NLG) that enables the platform to respond to users in ways they can easily understand. WhizAI is designed to deliver a conversational experience.
- Automatic Visualizations:
WhizAI uses cues from users’ questions and the data itself to determine the best way to create visualizations. If users prefer different visualizations, such as comparative line graphs instead of charts, they can easily update the visualization in WhizAI’s no-code environment.
- Access from Devices and Business Applications:
WhizAI integrates with the applications that pharma company employees typically use, such as Veeva, Salesforce, and Microsoft Teams. When employees need insights in the course of their day-to-day work, they can access WhizAI from the screens they’re already using. Additionally, users can access pharma analytics from a PC at their desks, on laptops when working remotely, or on mobile devices on the road or before onsite meetings with physicians.
- Multilingual Capabilities:
WhizAI gives employees in global organizations to interact with the platform in their native languages. WhizAI currently supports English and G5 languages.
How WhizAI Makes Data Analytics Processes Easier for Data Teams
When employees have pharma analytics autonomy, they need less assistance. Data and IT teams will reclaim time in their schedules to spend on higher-level tasks, such as building custom models for complex analyses that can help advance research and innovation that can improve the company’s competitive position.
However, WhizAI also benefits data teams in additional ways. They are leveraging WhizAI to eliminate writing SQL queries to determine which datasets to use in their analyses more quickly and easily.
Although WhizAI is designed for the augmented consumer, these power users are also finding that the platform is helping them perform their jobs more effectively.
Pharma Analytics Benefits, Courtesy of WhizAI
One of the biggest advantages of leveraging WhizAI for pharma analytics is the speed at which it delivers insights. WhizAI analyzes billions of data points to provide answers and insights in less than a second. Contrast this with the weeks it takes to build a new dashboard and run analyses; the competitive edge companies gain with WhizAI is apparent.
Additionally, WhizAI also makes insights instantly available to the C-suite. With the platform, it isn’t necessary to wait for an analyst to write a summary of findings, possibly interjecting bias into the report. Like all employees throughout the organization, business leaders can ask questions, drill down for information on the performance of specific brands or regions, and have the answers they need in minutes.
One of the biggest challenges life sciences companies face with dashboard analytics solutions is user adoption. Companies that have deployed WhizAI, providing employees with a platform that’s intuitive and fast, have increased analytics user adoption from 20% to 40% to as much as 100%.
WhizAI is designed for any size company and is capable of providing on-demand, contextual insights to global enterprises. WhizAI utilizes microservices architecture managed with Kubernetes for high reliability and scalability. It is also protected with enterprise-grade security and access control. It also integrates with pharma company business systems, enabling easy access and data flow.
Higher Data ROI and Lower TCO
WhizAI also enables pharmaceutical companies to finally see a return on their data and data analytics investments. Teams use data to enhance their performance and improve outcomes, and they accomplish those goals in less time with the support of fewer resources. Pharma analytics autonomy increases user adoption, enables data-driven decision making throughout the organization, and decreases the demand on IT and data teams.
Accelerating Decision-Making with AI-Powered Analytics in Life Sciences to Drive Commercial Success
Gartner Reports Augmented Consumerization Will Drive Analytics Adoption by 2025
Life science companies considering which augmented analytics platform is the optimal choice for their organization will find a list of Augmented Analytics Tool Vendors and Products at the end of the Gartner Market Guide for Augmented Analytics.
Gartner Reports AI in Clinical Development is Only 2-5 Years from Mainstream Adoption
WhizAI is recognized as a Sample Vendor for AI in clinical development, a high-benefit technology already seeing market penetration.
Augmented Analytics is “On the Rise” on Gartner’s 2022 Hype Cycle for Life Science Commercial Operations
The Gartner® 2022 Hype Cycle™ for Life Science Commercial Operations introduces a new category, Augmented Analytics, this year. WhizAI is listed as a sample vendor in the Augmented Analytics category in this Hype Cycle. This summary report covers the following highlights.
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