The State of Data Engineering Today
External data acquisition and integration is a large cost center for most companies.
Over $50,000 spent annually by companies to acquire and maintain each dataset.
Average of 6 months spent on validating, negotiating, and cleaning up data.
Bloated headcount for data engineering teams just for data upkeep.
What Spectre Can Do For You
With Spectre, you can focus on your competencies and your business and leave the data engineering to us.
Build a Cost-Effective Data Strategy
Reduce data acquisition and integration costs
Seamlessly integrating data from multiple, non-comparable sources
Help analysts and data scientists find stronger signals to solve business problems