Inconsistent Data
When working with various data sources, it's conceivable that the same information will have discrepancies between sources Data Downtime
Data is the driving force behind the decisions and operations of data-driven businesses. However Ambiguous Data
Even with thorough oversight, some errors can still occur in massive databases or data lakes. For data streaming at a fast speed Duplicate Data
Streaming data, local databases, and cloud data lakes are just a few of the sources of data that modern enterprises must contend with Too Much Data
While we emphasize data-driven analytics and its advantages, a data quality problem with excessive data exists Inaccurate Data
For highly regulated businesses like healthcare, data accuracy is crucial. Given the current experience Hidden Data
The majority of businesses only utilize a portion of their data, with the remainder sometimes being lost in data silos or discarded in data graveyards Finding Relevant Data
Finding relevant data is not so easy. There are several factors that we need to consider while trying to find relevant data, which include - 1 Deciding The Data to Collect
Determining what data to collect is one of the most important factors while collecting data and should be one of the first factors while collecting data