Companies facing challenges with data quality and delivery of data according to specifications can encounter various risks, including:
Project Delays: Inaccurate or incomplete data can lead to delays in project timelines. If the information provided does not meet specifications, it may require revisions, causing setbacks in the overall project schedule.
Increased Costs: Rectifying data errors and addressing quality issues incurs additional costs. This could involve hiring more personnel, investing in new technologies, or spending extra resources to meet project requirements.