Oracle DaaS for CI uses natural language processing and machine learning to analyze unstructured data sources like social media, customer reviews, surveys, chat logs and more. It extracts meaningful insights such as customer sentiments, topics of interest, and indicators of behaviors. These insights are delivered through APIs or dashboards and can be integrated with other business intelligence tools to improve customer satisfaction and business decisions. The platform offers global coverage, high accuracy, and the ability to analyze hundreds of millions of documents daily.
1. Data as a Service for Customer Intelligence
Turning Unstructured Data Assets
into Meaningful Customer and
Business Insights
Oracle DaaS for CI harnesses the power of the customer voice by uniquely extracting signals from unstructured data to
increase business intelligence and customer satisfaction.
The customer voice comes in many forms and channels
creating a growing pool of unstructured data assets within
organizations – and untapped signals. Oracle DaaS for CI
uses a proprietary combination of listening technologies
to turn data sources like chat logs, call center transcripts,
internal community messages and social data into insights
about your business enabling you to:
Capture a complete view of direct and indirect
customer inputs across all unstructured channels
(call center, chat logs, social, in-store etc.)
Detect trends and manage anticipated activities
across your organization (customer service,
marketing, sales, development, PR, etc.)
Understand customer interests, intent and
engagement with digestible and actionable insights
from unstructured data.
Unify intelligence with analysis against structured
enterprise data sources via BI tools.
ACCURACY
95% categorization
accuracy with
unstructured text
processing
EXTENSIBILITY
plug into Oracle’s BI
tool or the BI tool of
your choice
BIG DATA
SCALABILITY
listen across more
than 40M social
sources and analyze
hundreds of millions
of documents daily
GLOBAL
READINESS
advanced global
listening supported
in 20+ languages
95%