Businesses and organisations are generating more raw data than ever before, so much that sending it to the cloud for processing and storage has become a costly and inefficient task.
The more data they send to the cloud for analysis and storage, the more money they spend on transferring it. This new increase in throughput also leads to increased latency, which translates into delayed response times for the human and physical capital of a company or organisation. In other words, employees and autonomous machines use the information derived from the raw data to do real work and make real decisions.
When companies and organisations need to derive information from this raw data almost instantaneously to remain competitive in an increasingly technologically demanding global marketplace, such an inefficient architecture can become a cumbersome liability that wastes time and money.
And as the saying goes: time is money.