Data communication is the transfer of data from one device to the next through an transmission medium. It can be accomplished through wired media like twisted-pair cable or coaxial cable, or wireless media like optical fibers or radio waves. The data must be encoded, encapsulated, and transmitted by the device sending it, and decoded and decapsulated at the receiving device. This procedure is similar to the analog transmission process, however, it is more intricate and focuses on binary data (1s & 0s).

To boost efficiency within an organization, companies are using data communication to share information more effectively with dispersed users. To ensure that inventory is in line with demand and cut down on waste, an automaker was required to relay data to 6’000 non-trained spare www.bigdataroom.net/how-to-recover-a-corrupt-word-or-zip-file parts dealers who were dispersed. This required communication via a network not optimized for data transmission and use a mobile application that was difficult for novice users to navigate.

Effective data communication starts by understanding your target audience and how they look at the data. It is about creating visuals to support the story, providing context-based information, and articulating the data’s insights using a clear narrative. It also involves tailoring content to the specific audience depending on their hierarchy, technical proficiency and level of interest. It also means pushing the boundaries of creativity to make data-driven communication more memorable and memorable.