Submit your IoT data to the Nordic IoT centre to get a free evaluation of your data quality.

We will perform our online IoT data validation, and send you the results within 2 weeks, as well as an invitation to a follow up meeting to dicuss the findings.

Click the button below to upload your data and get a free IoT data quality evaluation.

* You will be redirected to another site hosting our upload service.

1. You upload your data
2. We evaluate the quality of your data
3. You receive a report from us
4. We have a follow up meeting

If you would like a more in depth project done with regards to your data validation, based on the results from the report, we can also deliver that. This project includes the following 7 steps:

It is often the case that IoT systems are deployed because of a desire to monitor and collect data to get valuable insights about certain conditions and processes. These insights based on gathered data can also be used to make data-driven decisions. The benefit of IoT is that it is easy and cheap to start implementing an IoT system, maybe in the form of a proof of concept, and simply start gathering data. However, when making data-driven decisions we must take the necessary steps to consider the quality of the data collected.​ 

If the data quality is not high enough for a specific use case the data is not trustworthy and consequently if the data is not trustworthy, the insights and analytics will also not be trustworthy.

It is our experience that ensuring the quality of the data is often lacking in IoT systems. Many different errors relating to format issues, outliers, and missing data, can be found in data collected from IoT systems and they can be caused by many different factors.​ 

With IoT data validation the aim is to ensure the quality of IoT data by validating it according to certain criteria, specifications, and requirements based on the specific use case. With tools for creating a data quality declaration for setting data quality targets, and with open-source tools for analyzing and visualizing data, it is easier to determine whether collected data is fit for its intended purpose and if there is any errors, i.e. determine if data can be trusted. Based on such analysis one might also investigate why certain data errors are occurring and focus future development on mitigating those.​

This service provides an initial review of your data. Using a stack of open-source tools, an initial data validation will be performed to find any potential errors in the data. 

Need to evaluate the quality of your IoT data

Find anomalies in your dataset

Want to share your data with other stakeholders

Need a transition from Pilot to scaled IoT solution

Cases

ERNIT


ERNIT has developed a virtual piggy bank to help children understand the concept of saving up for the things they wish for. To show the world that their IoT product is safe to use, ERNIT has had a third-party security screening conducted at the Nordic IoT Centre. It is important that this approval is in place both in relation to the customers, who are the banks, as well as when ERNIT conducts business with the export markets.


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Nabto


Nabto got through to their IoT devices. We helped the Danish start-up company Nabto in developing a software platform for their IoT system.


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OKM A/S



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Glostrup Hospital


We have helped Glostrup Hospital expand its analytical comfort zone by contributing with technological ideas for a new rehabilitation center.


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Open office noise monitoring and nudging


To help eradicate noise nuisance, SoundEar, Jabra and FORCE Technology collaborated to develop a completely new system that visualises the noise in an open office for the purposes of helping the employees to change their behaviour.


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Alexandre Alapetite

Principal Software Solutions Architect
Alexandra Institute

Camilla Føns Mortensen

IoT Community Lead
FORCE Technology