TIME-SERIES DATA RELIABILITY & OBSERVABILITY PLATFORM

Timeseer.AI is a platform for improving the reliability and observability of time series data. It helps data teams identify, prioritize and investigate data quality issues in time series data before these issues impact operations. The platform offers features such as data reliability assessment, data monitoring, optimization, augmentation and cleansing, and data connectivity and unification.

#1 DATA RELIABILITY SCORING AND PROFILING

#2 DATA MONITORING & OBSERVABILITY

#3 DATA QUALITY OPTIMIZATION, AUGMENTATION AND CLEANING

#4 DATA CONNECTIVITY AND UNIFORMIZATION

#1 DATA RELIABILITY SCORING AND PROFILING

  • 30+ built-in quality metrics that express the overall health of the underlying time-series data: variance drift, broken correlations, stale data, missing values, persist anomalies, IQR anomaly, …

  • Configure resources and processing flows with YAML

  • Define your own custom metrics and quality KPIs

#2 DATA MONITORING & OBSERVABILITY

  • Scan data proactively at scale & check quality

  • Segment data & create overviews of data downtime issues.

  • Define data SLAs and define quality gates

  • Collaborate on issues to improve Overall Data Effectiveness

#3 DATA QUALITY OPTIMIZATION, AUGMENTATION AND CLEANING

  • Input missing values

  • Filter out unwanted artefacts

  • Keep data volumes manageable while avoiding information loss

  • Align and transform data from different series

  • Define your own augmentation logic

Werusys Timeseeq DataQuality
Werusys Timeseer Data Connectivity

#4 DATA CONNECTIVITY AND UNIFORMIZATION

  • Lower the burden of data integration

  • Easily map to one uniform time-series data model

  • Organize time-series in series sets and asset templates

Werusys Timeseer Architecture

Timeseer.AI is our guarantee of the reliability and quality of our or our clients’ underlying data to ensure high accuracy of results, avoidance of bias and good model performance. This includes the assessment of various quality metrics, including variance drift, broken correlations, stale data, missing values, persistent anomalies and IQR anomalies. We are pleased to offer our customers another building block in their digitization pyramid.

Kai WeberKai Weber, Werusys Industrieinformatik

Partnering with Werusys will provide acceleration for data-driven customers within Germany, Austria and Switzerland by adding Timeseer as a key enabler in their variety of sensor data products.  It will provide the customers with an end-to-end solution ensuring the sensor data is of better quality and ready to be consumed.  Werusys is a key partner already for many leading companies within their region, which will enable customers to benefit quickly from the added value Timeseer.AI brings.

Nils Verheijen, Timeseer Ai
Werusys Timeseer Partner