DATA SCIENCE

196 Views  |  Solutions

DATA SCIENCE

Data quality is a key prerequisite for using information to gain insightful advantages in the marketplace. Poor data merely turns potentially highly valuable information into worthless byte streams. For example, incorrect address information for a "party" (such as a client, patient, or customer) inhibits strategic insight, preventing accurate and relevant insight from being surfaced. This kind of data can include information about whether two parties are the same or not, the total number of clients, and getting a 360-degree view of a customer. Sloppy data can decrease customer satisfaction, complicate communication, and increase costs when trying to circumvent the problem, as well as create other challenges.

Powered by MakeWebEasy.com