data engineering apis

Send us Your Data: Data Cleansing Services Available

by Interzoid Team


Posted on November 9th, 2021


Send us Your Data: Data Cleansing Services Available

Data can be inconsistent, redundant, incomplete, and difficult to match, standardize, validate, and process.

If you need a data partner to help with your data processing challenges, including multi-pass data matching, data engineering, or database building, let us put our 20+ years of data analysis and processing experience and innovation to use on your behalf.

✔ Match data across different and heterogeneous sources
✔ Eliminate data redundancy and duplicate data
✔ Merge data from internal sources
✔ Match data from external sources
✔ Standardize data for accurate analysis
✔ Verify data for accuracy
✔ Consolidate duplicate customer or prospect information
✔ Re-engineer data per requirements
✔ Database building from multiple sources
✔ Data quality analysis
✔ Enrich data from additional sources

Inconsistent data provides inaccurate analysis and redundant data can result in substantial costs and missed opportunities. And that's just the beginning. We can help transform and re-engineer data using our experience combined with our proprietary tools.

Contact us using the form to learn more and to discuss your requirements. We can analyze data samples free of charge. Below are some samples of the types of challenges we can help resolve.

For questions, contact us at support@interzoid.com or fill out the Contact form.

Cloud Native Data Engineering: Solutions for Databases
Create new, better, higher-value data based on your existing data
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Free Data Engineering Trial Credits
Register for an Interzoid API account and receive free trial credits. See how your strategic data assets can be improved.
Automate API Integration into Cloud Databases
Run live data quality exception and enhancement reports on major Cloud Data Platforms direct from your browser.
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Example API Usage Code on Github
Sample Code for invoking APIs on Interzoid in multiple programming languages
Business Case: Cloud APIs and Cloud Databases
See the business case for API-driven data enhancement - directly within your important datasets
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