C3 ANALYTICS
“Writing is the painting of the voice”

Voltaire.

NATURAL


LANGUAGE

Analytics encompasses text-processing services using Natural Language Processing (NLP) organising the data in order to provide: semantic searching, text analysis and automated subject categorisation.

These solutions will be of benefit in numerous applications, including: document processing and data extraction, classification and automated ticket responses, speech to text services for call quality control and analysis of open-ended survey responses.


EFFICIENCY

ESCALATION

SPEED AND
ACCURACY

GLOBAL INSIGHT
OUR SOLUTION
Why is this NECESSARY?
The solution allows the efficient, exponential scaling of the service, operations and commercial activity of any company.
Able to process millions of bits of data in thousandths of a second (500KB/s).
Able to give precise responses over 85% of the time.
The semantic engine is cognitive, thus removing the need for a training dataset and so drastically reducing the time needed for implementation.
Our METHODOLOGY

ANALYSIS
We collect the details of domains and information categories that exist in the company (services, products) and identify which data sources to access, refining the scope of the project.
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TRAINING
We define in the engine all the taxonomies and the communicative styles to use, in order to correctly respond to all information requests, building both the dialog and the responses.
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DEVELOPMENT
We create neural connections between taxonomies and categories, we develop connectors for accessing knowledge bases, and we program the operational sequencing.
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IMPLEMENTATION
We test the solution in a pre-production environment until the desired level of machine decision-making is reached, and then we move to a production environment to continue with real-world training.
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    BENEFITS for our clients

    Maximum efficiency

    Speed, flexibility and precision in delivery of the service

    Agile training

    Growth and
    diversification

    Multi-channel

    Process innovation

    Client and
    user focused

    Global understanding
    of the client
    Features: No need to integrate the engine into the client’s system • Can be cloud-based or on-premise • Semantic logic: works without the need for historical data • Multi-channel: connects to both front- and back- end systems • Multi-language: understands 18+.
    Use cases
    Faq search engine
    precise responses to questions
    in natural language
    Chabot operation
    and response
    Allows analysis of live
    and recorded voice calls
    Open-ended ivr
    Document processing for
    data extraction
    Automatic document
    categorisation and processing
    Virtual cognitive agent
    for customer support
    Smart open-ended
    text analysis in surveys

    CONTACT US
    Your clients’ satisfaction is our goal
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