New Report: Enterprises Should Avoid DIY Pipelines

A recent global survey by Wakefield Research reveals that when enterprises build their own data pipelines, decision-making and revenue suffer. The study found that data engineers spend nearly half their time building and maintaining these pipelines, costing companies an average of $520,000 per year. Many data and analytics leaders reported unreliable and error-prone data from DIY pipelines, leading to poor decision-making and lost revenue. Additionally, the high opportunity cost of in-house pipeline management means that data engineers have less time for advanced data modeling or sophisticated analysis, potentially impacting business outcomes negatively. Automated ELT may provide better results than DIY data pipelines.