Why Choose WhizAI for Business Intelligence in Pharma
- No data science expertise required:
WhizAI revolutionizes business intelligence in life sciences by changing the unit of work from a dashboard to a question. Instead of requiring data scientists and engineers to build a dashboard, run analyses and provide reports, users merely ask questions. WhizAI leverages natural language processing (NLP) to provide answers with easy-to-understand data visualizations.
- Limitless data volume:
WhizAI is also highly scalable, designed to handle the massive data volumes required for analysis for accurate business intelligence in pharma. Even when your company uses multiple data sources with billions of data points, WhizAI still returns data insights in a sub-second. Furthermore, as data volumes grow, WhizAI is designed to perform just as quickly and reliably as with smaller data sets.
- Pre trained for life sciences:
Because the platform is pre-trained for life sciences, pharma companies can deploy it within weeks versus months that it would take to implement a generic AI solution. Moreover, WhizAI understands life sciences and pharma vernacular out of the box, eliminating a learning curve that users experience when they need to learn how to phrase a query or which keywords are acceptable. WhizAI can even determine intent for atypical phrasing or spellings.
- Enterprise ready:
WhizAI knows business intelligence in pharma is just one of many facets of a company’s complex IT ecosystem. Our platform’s microservices architecture provides enterprises with reliability and limitless ability to scale, and WhizAI integrates with the business applications you use. The WhizAI team also designed the platform with a security-first perspective, ensuring only authorized people can access data and insights.
Case Study: How WhizAI Delivers Business Intelligence in Life Sciences
WhizAI makes it possible for pharma company employees in all roles within their organizations to access insights and build data-driven decision making into their workflows. For example, it helped one leading multinational pharmaceutical company overcome the challenge of integrating analytics into its business processes that it was experiencing with its dashboard solutions. Their legacy analytics platform couldn’t provide a complete view of data, particularly an adequate picture of activity in each territory or country. As a result, the company’s IT department was burdened with requests from employees with no data science expertise and analytics autonomy. By implementing AI-powered WhizAI, the company provided its employees with a user-friendly platform that, using natural language processing, translates unstructured queries, analyzes relevant data, and returns data visualizations on the fly. Furthermore, the multi-language platform allows employees based in the company’s different locations to use the platform and build their own dashboards for contextual insights. Using an intelligent platform, the company can proactively and aggressively address global market demands by leveraging more data sources for deeper insights. Additionally, the pharmaceutical company sees enhanced performance from the platform over time as the AI model continuously learns and fine-tunes responses to queries based on individual users’ needs
The Benefits for Pharmaceutical Companies
100% User Adoption
In general, dashboards used for business intelligence in pharma haven’t resulted in the ROI companies anticipated from their data investment. Companies using dashboard solutions often see average daily usage of only 30-40% -- in some cases lower. Because dashboards are complicated and users need to invest time to dig through reports to find specific answers they need, they often ignore the data in favor of expediency. With WhizAI, however, it’s easy to access insights and build data-driven decision making into workflows, resulting in high user adoption.
Improved Efficiency and TCO
An AI-powered augmented consumer platform for life sciences gives users autonomy, which decreases their dependence on a company’s data team. It’s also easier to maintain, requiring less time and fewer dedicated resources. The time and cost savings add up to a significantly lower total cost of ownership (TCO).
Centralized Data and Business View
With WhizAI, all employees use the same platform for data insights versus interpreting dashboards and reports differently. The platform supports consistency and collaboration among teams and between different departments of an organization.
Faster, Better Business Decisions
Users will immediately see the stark contrast between time-consuming dashboard solutions and time-saving WhizAI. Users can find the information they need just by asking or typing a question, making it easy to consult the data before taking action. Furthermore, as employees see the benefits of basing their decisions on data, they will make it a routine part of their workflows so they can do their jobs more effectively.
Delivering business intelligence in pharma is a slow process with dashboards. WhizAI takes only a fraction of the time to provide pharmaceutical companies with information on their markets and competition, enabling them to respond more quickly to changes and position their businesses for success.
Adding Up Data Analytics Total Cost of Ownership (TCO) and How to Lower It
High data analytics expenditures don’t have to be a cost of doing business for life sciences companies. WhizAI lowers total cost of ownership (TCO) while making data insights more accessible to business users. Traditionally, data analytics TCO has been a significant expense for life sciences organizations.
Gartner® Predicts Augmented Analytics Will Have a Major Impact on Life Sciences Commercial Functions
Gartner recognizes WhizAI as a Sample Vendor for Augmented Analytics, an emerging technology poised to revolutionize how commercial teams use data insights to optimize outcomes.
Transforming Life Sciences Commercial Function with AI and Augmented Analytics
In this whitepaper, sponsored by WhizAl, Everest Group explores the business case and profound impact Al and Augmented Analytics can have on the life sciences commercial function across various use cases in Sales, Marketing, and Market Access. They examine what top pharma enterprises are looking for in an augmented analytics tool, a roadmap for how to get started, and a blueprint for adoption.
WhizAI Deployed as a New Field Reporting System at a Top 3 Global Pharma
Better, Faster, Smarter Decisions at Lower Cost for a Top 3 Global Pharma. A top 3 global pharmaceutical faced the following challenges with their legacy field reporting system:
WhizAI Puts Sales Reps at the Center of the Analytics Process for a Leading Specialty Pharmaceutical Company
Sales reps use WhizAI data exploration to answer questions like 'Sales trends this year by region, brand (or by city, territory, GPO, COT, IDN)?' in seconds.