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Business Operation Support And Analytics

Provide an intuitive, efficient business view centered on strategy and business

Background

With rapid development of business and continuous progress in IT, the informatization level of various industries is getting higher and higher. As IT systems and massive data are increasingly complex, the traditional business operation philosophy and technology can no longer help. With further development and continuous improvement in big data and AI, the conditions for introducing an intelligent business support system have matured. To adapt to the trend of new technologies and improve of technology support and introduction capability, many users have defined their digital transformation strategies. They regard the intelligent business operation support as the strategic fundamental project for science and technology empowerment.

Customer Requirements

  • Fault warning

    The status of various resources in IT system is constantly changing. System administrators have to keep track of the monitoring interface. They are hardly warned before the situation deteriorates, but make emergency response after a fault occurs.

  • Fast location

    Related systems can only monitor the health status of their own components, but intelligent monitoring and traceability throughout the business process are impossible.

  • Fault experience and application

    Every fault is individual, and therefore it is difficult to pass on the experience. Even if it is classified into a knowledge base, it is difficult to apply it quickly in the next fault.

  • Report analysis

    Administrators are required to regularly make statistics on system availability, faults, business volume and other data to provide data support and guidance for business development.

Architecture

Based on its own O&M experience for many years and big data technology, ECCOM introduces AI algorithms into application business operation support, senses faults timely through metrics anomaly detection and log anomaly detection algorithms when faults occur, and quickly locates faults through alarm clustering, multiple fault traceability and etc. to help customers solve long time-consuming problems (discovery-location) in O&M fault management, thereby reducing MTTR and improving SLA, emancipating IT O&M personnel from a large amount of tedious, complex, time-consuming and error-prone basic O&M, enhancing relevant IT capabilities, providing higher quality, reasonable cost and efficient support for products or services maintained, helping enterprises in digital transformation, and realizing healthy and sustained business growth.

Features

Enterprise platform

Based on enterprise-level O&M data platform, it is mature and steady. Strong data acquisition and collection capability.

Machine learning

Flexible machine learning algorithm platform, fast training and flexible monitoring strategy.

Multidimensional correlation analysis

Strong data mining and processing capability, multi-dimensional, multi-metric correlation analysis.

Data governance

Flexible data governance strategy, steady data supply capability and open platform.

Customer Benefits

By introducing an intelligent platform, reduce event noise, flooding alarm and MTTR significantly, and improve O&M/operation efficiency.

Update the O&M/operation process, promote the intelligent O&M system process and team building.

Enhance the value of an IT team, provide an intuitive, efficient business view centered on strategy and business.
Improve operational and data governance capabilities, and provide high-quality data for third-party consumer platforms while meeting department business support data needs .

AI-based technological innovation

Exclusive solutions and services for you

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