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THE PROBLEM
The State of Data Engineering Today
External data acquisition and integration is a large cost center for most companies.


Too Expensive
Too Time-Consuming
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.

Too Inefficient
Bloated headcount for data engineering teams just for data upkeep.
SOLUTION
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

Improve Operations
Seamlessly integrating data from multiple, non-comparable sources

Drive Growth
Help analysts and data scientists find stronger signals to solve business problems
How to Manage Third-Party Data

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