Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
IVR is a telephone technology that interacts with callers through pre-recorded voice messages, also known as Voice Response System.
Explore the world of self-service analytics, explore its definition, interaction with big data a self-service business intelligence, and its numerous advantages. Learn how self-service analytics democratizes data and enables businesses to make data-driven decisions quickly and independently
Data visualization makes it possible to quickly obtain information by visualizing data regardless of format, type or source. It also allows the presentation of information that is not visible at first glance about what the data means in a clear and clear way.
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