Sensor data is not uniform – How do you correct for device variations from a high-volume data stream?

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IoT sensor data is providing billions of new data sources each year. The same old approaches to data analysis will be overwhelmed. Using the most powerful tools and providing the best quality data will maximize the value of your investment.

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The most powerful, scalable data analysis today is AI and Machine Learning. EkaLore can help by doing a data quality audit, and then moving that data to your systems in the right format. We’re both researching and creating new methods to help exploit the value of the IoT.

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Data Quality Assay – EkaLore will survey your sensor data and assess the tolerance and quality of your IoT data stream. We'll determine what metadata is needed for later use.

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Transform/Prepare – We’ll ingest your sensor data and transform or migrate that data to a format and structure that facilitates combination with other key information sources – Weather and retail purchasing patterns.

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Deliver – We’ll migrate your newly formatted data to a format that can be ingested by your Reporting, Analytics, AI or Machine Learning systems.