Resources are seldom unlimited, and when it comes to human, financial, and digital resources, tying them up for extensive periods for the purpose of moving big data has major implications. From higher fixed costs and cost of sales, to reduced productivity and employee retention, organizations depend on data to drive research and development, manage assets, and obtain business intelligence.
More human resources mean higher staffing costs, more infrastructure requirements, and lower profit margins. Increased use of digital resources lowers the speed of communications and information transfer, while pushing up the financial cost even further.
The repercussions of such high resource usage include increased pressure on the natural environment, low shareholder satisfaction, and challenges in obtaining funding. All of these can have far-reaching consequences, most of which can be avoided by resolving the costs of big data migration.