INTRODUCTION: THE TRADITIONAL ENTERPRISE SEARCH PROBLEM
Your organization is only as productive
as its knowledge base and insights
The key departments across your enterprise—engineering, research and development, IT, customer
service, sales and marketing, finance, and HR—require specific information to perform their roles.
Knowledge is integral to developing those business insights. However, there are hard costs associated
with the time employees spend searching for information or acting on inaccurate information.
A survey conducted by The Economist Intelligence Unit found that employees spend 25 percent of their
time searching and gathering the information they need to do their jobs.¹ These types of distractions
frustrate employees and take time away from the higher-value work.
Why is traditional enterprise search failing?
Across the modern digital workplace, hidden sets of knowledge are amassed in data silos that range
from being useful to essential to crucial. These volumes of valuable data comprise structured data,
expressed in rows and columns, or unstructured data, including text documents, webpages, images, and
audio and video files. These unstructured datasets are spread throughout many organizations' data silos,
making it more difficult to search and analyze information for actionable insights that lead to better
business decisions.
¹ "Employees Spend More than 25% of Their Time Searching for the Information They Need to Do Their Jobs: Survey," The Economic Times, 2019
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