The problems with data quality don’t only begin with incorrect data; data that is inconsistent is a problem as well.
Data is generally considered high quality if it is “fit for [its] intended uses in operations, decision making and planning”. Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers.
Tess patented technology harvest clean, pure granular data from any source connected to a network. We match these attributes and eliminate the data cleansing phase + add value to the pipeline by including data preparation processes, to produce the purest and most reliable outcome for smart data analytics that buyers can use effectively: doing more with less time and resources.
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