Rigorous Data Quality Checks
Data mapping and data quality are a large part of the Springbuk Data Pipeline. When it comes to the ingestion and normalization data sets, we take a proactive, automated quality assurance approach, running over 180 automated quality control checks. Our mapping and normalization rules enable us to inspect the contents of the files, the fields in the file, and to assess the quality of the raw data files delivered by the health benefits vendor (i.e., missing fields, invalid codes, nonsensical values, etc.)
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Your Data Can Be Flexible and Agile
Our Intelligence Engine was built from the ground up to manage our clients’ data in a flexible, secure, and high-performance manner. We take advantage of cloud technologies so that our data pipeline is completely modern and can handle the demands of healthcare data today, but is ready to influence the way healthcare data is processed in the future.
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Securing Your Data is a Top Priority
We are HITRUST certified and HIPPA compliant, and we exceed the industry-standard best practices to take care of your data leveraged in our infrastructure. Security is a top priority, from encryption to tightly controlled access and a completely isolated production infrastructure.
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