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  • SMART ANALYTICS

    Analytics as a Service

    Considering the market needs

    A perfect partner to enhance prediction ability

    This concept concerns the ability to influence the value chain relevant to data management in order to adapt data to specific market needs.

    Some companies’ structures are already organized to work partly on their own, while for others, data becomes part of a business decision-making process, and therefore, crucial.

    For this kind of approach, also taking into consideration the degree of digital transformation, Octo is the perfect partner, where more data collection means more prediction ability.

    A functional aggregation to the business

    Analytics as a service defines the opportunity to make data available at different levels of their processing (from data, through information, to knowledge, where scoring represents the final stage of analytics). Data is usable in different ways, depending on the needs of the company that must assimilate them (marketing department may be interested in ready to use data, while technical department may need to improve their planning level).

    Analytics as a service represents a functional aggregation to the business, where algorithms are also able to filter potential GPS failures.

    Smart Analytics is also

    Geographic Vehicle Flows

    The knowledge of traffic status, based on real-time traffic and forecasting, is fundamental to implement the urban mobility policies.

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    Mobility Atlas™

    Vehicle flow analysis and tracking in relation to the business initiative that a company intends to realize.

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    Engine Data Reporting

    A technology that allows the collection of useful data from the ODB car port, through an easy to install device, to be used in Fleet Management and Vehicle Sharing realms.

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    Vehicle Utilization Data

    One of the most important services for car makers. This data, linked to the driving style, provides the insight needed for predictive maintenance.

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    Data Driven Score

    This risk scoring is calculated connecting the driving behaviour on a sample related to a crash index amongst the same sample, resulting in a risk index.

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