80% of data within the enterprise is unstructured. This includes emails, PDFs, documents, social media, videos, audio, images, and a large amount of business-critical content. The first step to extracting value from that unstructured data is to add structure to it.
Human-generated content (unstructured) is very different from machine-generated data (structured). It requires a different approach. To gain actionable insights, organizations require confidence in the underlying data and the methods used to add structure to that data.
At Accenture, we've helped hundreds of clients handle the acquisition, processing, and indexing of unstructured data, enabling better search, analytics, and insight discovery.
We bring deep expertise in search and unstructured content to deliver a full range of services, helping you acquire and derive insights from unstructured and semi-structured data. Our services include:
Harmonization of data from various enterprise sources
Data cleansing, formatting, enrichment, and indexing for search and analytics
Text extraction, text mining, and text analytics
Natural language processing (NLP) and Machine Learning for understanding unstructured content and user queries
End-user application development
Data quality analysis for better search relevancy and analytics
Below are our examples of search-driven applications leveraging both unstructured and structured data to improve operations and business decisions.
Developed through hundreds of client projects, our technology assets can help organizations acquire and search across unstructured data in the most efficient and impactful way. These assets are search engine agnostic and work with various platforms.
A proven framework for acquiring and enriching unstructured data, providing relevant, rich context for search, analytics, and NLP applications
Securely connect to over 50+ unstructured and structured content sources
A new R&D initiative, Saga helps create and maintain scalable enterprise language models for user interaction and document understanding
Enables query parsing rules to be efficiently captured, deployed, and maintained in a way that’s independent of the search engine and user interface
Our experts discuss the latest trends and best practices for using AI-powered search and analytics to unlock more insights and achieve greater outcomes.
Accenture's blog discusses enterprise use cases for neural networks and how we optimize neural network models for best performance.
Accenture’s blog explains how AI technologies - NLP and Knowledge Graphs, are turning enterprise search into intelligent question-answer systems.
