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  • Big Data Text Analytics

    Home » Big Data Text Analytics

    Unlock a Source of Competitive Advantage

    Text and content analytics have become a source of competitive advantage, enabling business, government agencies, and researchers to extract unprecedented value from unstructured data.

    A number of factors contribute to the strong and sustainable growth in the demand of information access: this is called ’Nexus of Forces’ (or ‘The Perfect Storm’) where Social, Cloud, Mobile and Information drive the untapped potential for Big Data Text Analytics.

    With Treparel KMX you have an integrated platform meeting the needs of your information management professionals with a compelling value proposition: extract meaning out of large quantities of unstructured data by analyzing (or mining), interpreting, and structuring information to reveal hidden patterns and relationships.

    IT market shift is driving Big Data challenges and opportunities

    Benefits you will gain when working with KMX:

    • Creating structured data from unstructured formats (text, images, graphs, sentiments) for routing information to other applications (CMS, BPMS, CEP, other line-of-business applications)
    • Displaying & Visualizing information
    • Populating information-retrieval systems
    • Navigating information
    • Providing datasets for predictive modeling
    • KMX is used in the world’s most demanding organisations in private and public sector, daily.
    • Treparel KMX supports an unlimited number of users and data sources
    • Treparel was build upon over twenty years of experience and knowledge of data discovery and visualisation technologies

    Easy to use, Easy to deploy

    Treparel KMX was created in close collaboration with high-demanding professionals in major multinationals. KMX supports the workflow of the professional in his or her work environment. The platform is easily installed and maintained and after a short training, KMX provides an easy and intuitive interface that will lead to more productivity and a more efficient work process.

    End Users

    KMX is offered as an End User tool to be used on top of your key data-sources containing all kinds of unstructured data. With KMX they can directly  analyse, process, display, visualize and present.

    Platform

    KMX is built and used as Text Analytics platform in addition to – or build in – other lines-of-business applications including:

    • IP & Patent Analytics
    • Business Process Management Systems (BPMS)
    • Critical Event Processing applications (CEP)
    • Enterprise Content Management (ECM)
    • Media systems and Publishing Database
    • Research applications
    • Search engines.

    The key functional benefits from working with the KMX are:

    1. Automation KMX fully automates a manual process in text analytics
    2. Efficient Only a fraction of the document set is delivered to user, avoiding noise in the results
    3. Reuse Once generated Classifiers (automated models) can be reapplied to future searches
    4. Sharing Various sharing options between users for Classifiers (models) and Output (visualizations, reports)
    5. Coverage Relevance ranking allows broader initial result set.
    6. Quality A high Precision and Recall of KMX support delivering the right result set to the user
    7. Seamless KMX integrates into your current processes or applications

    Treparel Big Data Text Analytics & Visualization from Treparel
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  • About Treparel

    Treparel is a leading global software provider in Big Data Text Analytics and Visualization.

    The KMX platform allows organizations to enhance innovation processes, improve competitive advantage, mitigate litigation risk and cost and manage interactions with customers by gaining insights from numerous sources unstructured data (text, application notes, images, blogs, email and patents).

    Global companies, government agencies, software vendors or data publishers are using Treparel KMX text analysis software to gain faster, reliable, precise insights in large complex unstructured data sets allowing them to make better informed decisions.

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