The Espresso Guide to Enterprise Search
Wake Up to the Value of Enterprise Search
Read the very first Espresso Guide from Sinequa
Here's the first in a series of e-books from Sinequa. Full of fresh thinking, these Espresso Guides bring you only what you need to know. Just beans! Sip away and we'll show you how to:
- Assess if you have an enterprise search problem (spoiler: you do).
- Understand the 5 reasons you shouldn't buy enterprise search.
- Decide when you need to build a search-based app.
- See what's next in enterprise search.
Download the white paper.
The drug discovery process has increased in complexity and need for information at an incredible rate, but McKinsey notes that in spite of the growing necessity to leverage all available data, Life Sciences is also one of the slowest industries to adopt the technologies they need to save crucial time and close the information gap.
90% of the information relevant to investigations and audits hides in unstructured sources such as documents, emails, and chat messages. Yet, the common investigative and audit tools only handle structured information. As a result, investigators try to fill the gap with manual effort, wasting up to 10 hours per week hunting for clues.
Finding relevant knowledge in the complex and diverse data of Biopharma companies requires cognitive systems using Natural Language Processing (NLP) capable of "understanding" what unstructured data from texts and videos is about. This whitepaper highlights how Cognitive Search and Analytics are key elements for driving innovation, improving the efficiency of research, clinical trials, and regulatory processes.