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Discover the Hidden Value in Unstructured Information

jStart Team Lead: Randall Wilcox, Jim Smith

How text analytics can help your business

Often businesses are sitting on a wealth of information that they're not even aware of--or worse, they are aware of it, yet lack a tool to mine that data. jStart has been working with colleagues in IBM Information Management to resolve this challenge. The result? Solutions built upon technologies unique to IBM, including IBM Content Analytics (ICA) and it's natural language processing tooling LanguageWare™ (LW):
  • Provides an easy to use environment for capturing the knowledge of your business domain experts into dictionaries and semantic rules for re-use.
  • Allows customizable Information Extraction for logical reasoning to draw inferences from natural, unstructured communications.
  • Offers Entity & Relationship Recognition to classify words or phrases into categories that can be analyzed for business meaning.
  • Fits seamlessly into existing e-mail, instant messaging, business intelligence, and various other desktop or mainframe applications.
What problems are addressed?
Companies attempt to apply structure to information gathered through forms based systems - but most business information and communications remain unstrucutured language texts:
  • An insurance claims adjuster has hundreds of claims reviews each day and often misses key information doing so manually.
  • Clinicians notes that communicate patient diagnoses and treatment programs often contain comments that are lost in translation.
  • High security organizations have unstructured documents that require expensive, manual assignment to multiple security standards for communication with outside entities.

What opportunities are presented?

  • Quickly analyze and sort claims by severity of risk so that claims analysts can process them more efficiently and effectively.
  • By analyzing even the comments in clinicians notes, LW improves communication and patient treatment between healthcare entities.
  • For security, automatically identify and map specific sensitive data within documents to the correct transmission standard.
about this technology
MRTAS for Health PlansMRTAS for Health Plans
Learn about how text analytics can be leveraged to address current challenges facing healthcare industry. Download (8.8MB)
MRTAS Overview PresentationMRTAS for Providers
How IBM's MRTAS solution provides opportunities for healthcare providers by reducing costs while enhancing patient care. Download (8.0MB)

Getting Started...
Briefing. This briefing includes presentations, roundtable discussions, off the shelf demonstrations and high level architectural white board sessions exploring the challenges the customer faces and how text analytics can address these issues. Schedule a Briefing.
QuickStart Pilot. Provides an advanced text analytics solution for rich text-level analysis, parsing, rules development, contextual analysis, semantic analysis, and disambiguation. The options is best suited for customers who are ready to start a small pilot project. Schedule a Pilot.
Integration Workshop. Need a more comprehensive solution to satisfy your business needs? We can provide an Eclipse-based environment for customizing LanguageWare/ICA capabilities for specific domains, applications, and customers. Schedule a Workshop
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How does text analytics enhance business processes?

  • Start by building customer dictionaries and rules to capture the knowledge or field expertise of your "business domain experts". This knowledge evolves over time and learns from these users.
  • Can be integrated into current applications to extract and analyze streams of natural text - exposing new relationships and insights relevant to your business.
  • Convert these results into any repository type (relational DB, XML, etc.) for increased accessibility and transparency. Business processes can then benefit from new information and insights.

Resources and Links


Case Studies

LanguageWare InfoCenter

More detailed information for both technical and business users is on our Text Analytics InfoCenter Page.