Solution Feature
Data stories are a collaborative feature of the IoT Data Hub. They combine analyses, charts, measures and specialist context so that incidents can not only be investigated, but also documented in a structured manner and reused later.
View IoT Data HubWhy it is important
Process engineers solve complex problems every day, often with the help of maintenance and quality. But knowledge is rarely captured in a reusable way. Data stories make the solution process visible and searchable.
Anomalies from dashboards, analysis views or production modules can be saved as a data story with just a few clicks, enriched with charts, annotations and references to assets or stations and discussed with the right experts.
Solutions become part of a shared knowledge base so that recurring problems are solved more quickly and best practices are shared across teams.
What data stories eliminate
Process knowledge is often only in the heads of employees - risky when teams change.
Solutions are created through cooperation between production, quality and maintenance.
Trial-and-error costs time and is rarely documented for the next incident.
Emails and meetings slow down the solution and leave no common knowledge base.
How data stories support everyday life
Data extracts from lines, stations or processes, including charts, annotations and raw data, can be saved as a comprehensible story.
Comments, queries, hypotheses and decisions remain directly linked to data and context instead of disappearing into emails or meetings.
Stories can be searched by system, station, process or label so that similar cases and proven measures can be found quickly.
Stories can be assigned, prioritized and tracked via their processing status. This ensures that the solution remains comprehensible at a later stage.
Data stories combine specialist context, process knowledge and analysis results in such a way that production and data teams can work together on the same basis.
Joint case processing
Create data stories from existing analyses with a click and attach context from assets, stations, processes and charts. Discussions, hypotheses and agreed measures can be documented in a comprehensible manner in the shared browser workspace.
Track open stories, status and responsibilities in a shared browser workspace.
Bundle charts, annotations and notes into a comprehensible story instead of losing knowledge in chats.
Understand anomalies more quickly and automatically prepare structured story drafts for teams.
Bringing together production issues, analyses and story context to make solutions reusable.
Demo
Arrange a demo to get to know the platform, analysis and AI functions based on your questions.