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Business data communication is the process of distributing information to all stakeholders within a company. The information may come in the form of trends, statistics, and other data-driven insights. Effective data communication for business involves making these insights easily accessible to different types of audiences. People are less likely to act if they do not believe in or comprehend the data. Strong data analysis skills are essential for communicating data insights, but equally important are strong written communication skills. When it comes to reports or presentations writing clearly and concisely can prevent confusion and misinterpretation data analytics findings.
There are a variety of business data communication models that exist, depending on the nature of the data that has to be transferred and the level of security needed. One of the most popular models is the publish/subscribe model. This model uses brokers who distribute data to subscribers who have expressed an interest. Other models are designed for increasing the value, validity or reliability of data by using aggregates, transformations and analytics.
Business data communication systems can also be used to create virtual companies and allow employees to work from anywhere in the world without being restricted by time zones or office locations. This lets employees collaborate remotely with colleagues, saving cost of overhead and improving service.
Finally, the capability to effectively communicate data helps businesses identify problems or issues that require improvement, which allows them to take action to improve their products and services. For instance, if a customer are dissatisfied with a product or service, they may be asked for feedback and suggestions via customer surveys and other data communication tools.