Accurate
The conventions used in this discussion are
Data Provider is the source of the data, in effect the owner of the data
Data Consumer is the use of the data
Data Application is the process that uses the data
Redundant Data is data provided that has no purpose
Think of a National Weather Report. The group that collects and compiles the weather reports is the Data Provider. In this example they have a web site that allows the user to log on and get the weather report. The user is the Data Consumer and the web site itself is the Data Application that is being used to deliver the weather data.
Imagine you are on a boat and the captain needs to get the weather forecast as he thinks a storm is building.
The boat downloads a new weather report every few hours onto its on board computer. It downloads all the data that the Data Provider has regardless of the location of the boat. The boats on board computer then filters the data to find the weather report for the specific location of the boat.
The captain of the boat cannot be certain how old the data is. What if the download did not happen? is he looking at an old weather forecast? The captain cannot rely on the accuracy of the data as it can never be up to the moment it will always at least somewhat be out of date.
The Data Provider is providing a lot of Redundant Data the boat is calling for a full weather report ever few hours even though it only needs a small amount of data.
The Data User is also suffering as the Boats computer is crunching through mountains of data to get just the small amount of data that it needs, worse still the data is inherently unreliable because it is most likely out of date.
It would be better to use an Authenticated Data Process and get the weather report (specific to boating) for the boat at its specific location when the Captain actually wants the information.