Fixing formatting and structural errors — such as typos — is an important step to complete in the data cleansing process. Such inconsistencies in data can lead to major problems and can be ...

3. Have A DataOps Configuration. An important step in developing a data supply chain is establishing a DataOps configuration. As a data supplier, one should consider the latency of the data and ...

3. Identifying Data Sources. One essential step in the data discovery process is to understand the data corpus and follow the digital crumbs. This involves identifying data sources, including text ...

One area where this can reap tangible benefits across clinical trials is in data processing. A typical clinical trial generates over 13,000 documents in various formats (text, voice, video ...