Optimistik is an industrial data platform software provider dedicated to helping industrial organizations become data-driven. Its platform, OIAnalytics, assists industries in overcoming obstacles on their path to data-driven operations. These challenges include data collection from heterogeneous and multiple sources, data contextualization and storage, data processing and aggregation, and widespread adoption of data usage. Optimistik's main focus is to facilitate data usage in industrial organizations through its platform. It supports operational excellence activities, improves industrial performance, and empowers teams to be agile with their data use. This agility allows organizations to adapt to an ever-changing environment.
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The platform's ease of use greatly accelerated adoption by operational teams, who can now build analyses and dashboards autonomously. The integrated edge data collector, OIBus is a real game changer, simplifying multi-protocol data acquisition and centralizing its management. SaaS reliability and performance are also exceptional.
Ease of implementation and configuration, ease of learning and use, comprehensive coverage of industrial data, numerous integration modes, speed of execution, powerful computing capabilities...
Single HUB. Possible to share dashboard
The interface, while efficient and fully suitable for industrial environments, feels slightly dated compared to modern consumer applications. This has no impact on usability, but a refreshed UI could enhance the user experience further. In addition, governance capabilities are severely lacking, making it difficult to track what was created or modified by whom, when, or to obtain reliable usage statistics. While the information technically exists, it cannot be leveraged to build dashboards. This creates significant challenges for managing development, identifying areas that require attention, and streamlining object creation processes, for example.
Searching for objects (dashboards, analyses...) is sometimes tedious (the tree structure and classification are not very user-friendly).
Sometimes, it's complicated to find a special tootl or a special way of creating dashboard