Transforming commercial analytics: How can pharma solve the hard to cure legacy data models problem? скачать в хорошем качестве

Transforming commercial analytics: How can pharma solve the hard to cure legacy data models problem?

Legacy self-service analytics require extensive data model training and deep technical knowledge to be used effectively. The alternative is developer-driven dashboards with too broad a scope and is not unique to each user request, territory, or country. Every new data insight requires the creation of a unique dashboard, custom-built to address the specific needs of each request. These dashboards have long development cycles and can only answer the specific analytics questions for which they are built. With existing solutions, it is difficult for business teams — especially non-technical users in sales and management positions — to use reporting and analytics to its full capacity. These problems hurt an enterprise pharma’s competitive advantage in the industry. Watch this interactive presentation session to hear from industry stalwarts how life sciences-trained, AI-powered analytics enables accelerated decision-making to drive commercial success.: https://www.whiz.ai/webinar-and-event...