Answering the WHY question

Create actionable insight reports providing well interpretable results, that trigger “aha” moments and enable immediate efficiency improvements.

Get actionable Insight Reports

aivis Insights analyses raw and unsynchronized historical time-series or tabular data fully automated to answer the WHY question. It searches for hidden patterns and uncovers relationships, dependencies, reactions, root causes, and influencing factors to clarify why something happens.

The result is an understandable report that addresses the question at hand and often brings an “aha” effect.

Applications

quality Assurance – error detection – root cause indicators – WASTE reduction

aivis Insights provides suitable applications for variable use cases. However, the result is always an easy-to-understand report that can be easily interpreted.

Find signal dependencies

Datatype: Time-series

Available: Project

Find out how well one or more signals can be live predicted from the other signals within your data. The insight report will give an exact answer to that including a list of signals, that contribute to the prediction sorted by their correlation.

Check any quantity like temperature, torque or pressure but also more abstract quantities like a KPI for quality, durability or life span and much more.

Find influencing factors

Datatype: Tabular

Available: Project

Find out how well one or more properties can be predicted from the other properties within your data. The insight report will give an answer to that including a list of properties, that contribute to the prediction sorted by their correlation.

Check any time-independent quantity like viscosity or strength but also KPIs for quality, durability or life span and much more.

Find root causes for events

Datatype: Time-series & tabular

Available: Project

Find and understand the root causes for a specific event. The insight report will not only provide a list of those root causes, but a classification. Each class comes with it’s own set of root causes ordered by correlation.

Classify the root causes for any type of process disruption that can be identified within the data.

Distinguish by KPI

Datatype: Tabular

Available: Project

Identify properties, which distinguish pieces with a usual KPI value from those with an unusual KPI (bad or good). The insight report will present these properties sorted by their importance.

Identify bad apples and to figure out if those can already be identified earlier in the process.

aivis Insights App

Simply import all your historical process data as CSV – raw, unfiltered, uncleaned, and unsynchronized.

Use an intuitive wizard to get to the bottom of questions like Why does this happen? What is happening? or How can this be prevented?

Let aivis Insights analyse your data entirely on its own and create explainable reports which help you to improve your processes.

Examples

quality Assurance – error detection – root cause indicators – WASTE reduction

Browse through our selection of different use cases, where aivis Insights has already generated huge value. Of course, those cases are only exemplary since aivis Insights is industry-agnostic and can be applied to countless other cases as well.

Paper making – Understanding paper quality

Application: Find signal dependencies

During the continuous process of papermaking, paper quality is a critical process parameter. Unfortunately, this parameter can not be measured directly because it has to be determined in the lab. Since it takes about one hour from sampling to the result, the operator is flying blind, so to speak, until the next lab value is available.

aivis Insights successfully validated that the paper quality can be predicted live from easier accessible measurements.

Dead oil – Understanding oil viscosity

Application: Finding influencing factors

The dead oil viscosity is a critical process parameter that heavily depends on the type of oil. Even slight differences in composition can dramatically impact the viscosity, making it almost impossible to address this issue with classical black oil correlations.

aivis Insights successfully validated that the viscosity can be determined directly from easily accessible measurements.

Paper making – Understanding paper breaks

Application: Find root causes for events

Paper breaks during the continuous process of industrial paper manufacturing are hard to control. These breaks can occur at any time without any warning. The sheet or paper web breaks inside the machine. Subsequently, there are various cleaning and retreading steps required before production can be continued. Sheet breaks have a significant negative impact on a paper machine’s productivity.

aivis Insights identified many yet unknown root causes, which enabled the process experts to dramatically decrease the number of paper breaks and significantly raise efficiency.

Gear boxes – Understanding critical KPIs

Application: Distinguish by KPI

Gearboxes are produced in a discrete manufacturing process. In the end, the slippage time is determined for each gearbox to check if it is within the tolerance.

aivis Insights helped to identify bad gearboxes earlier in the process by unleashing characteristics that distinguish the particularly good and bad ones from the average.

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