Three Ways to Utilize Interzoid for Better Data Usability and Value

by Interzoid Team

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Having a high-quality, comprehensive, and complete foundation of data is very important to the success of data-driven initiatives such as Data Science, Analytics, Business Intelligence, Machine Learning, Artificial Intelligence, CRM, Marketing, and more. This is true across all verticals, including Healthcare, High Tech, Financial Services, Real Estate, Manufacturing, Education, Retail, and just about everything else.

There are three primary ways to utilize Interzoid to enhance the consistency, quality, usability, and value of your organization's data assets, so everything you do with that data is more effective, useful and successful:

1) Single-record APIs. Send one record at a time to an API for complete flexibility over how the result is used, either as part of data processing, within a Website form, as part of an application, and wherever else it makes sense to incorporate. Our APIs can be integrated via JSON/REST in most cases with a single line of code. We have SDKs and code samples available to make things easy. You can find our single-record APIs along with documentation and examples here: https://www.interzoid.com/cloud-api-directory

2) Interactive Cloud Data Connect Application. Within the browser, you can connect to, analyze, match, and enrich entire datasets at the click of a button (our APIs do the work behind the scenes). This not only includes SQL-based Cloud data platforms, but also text files. This Web application is interactive, working with one data source at a time. Try it here: https://connect.interzoid.com

There is also a quick and easy tutorial to show how to use the Cloud Data Connect product so you can get get up & running quickly. The tutorial shows a data matching example with sample data files. You can see it here: Data Matching Tutorial

3) Full Dataset Commands and APIs. Use a SINGLE COMMAND to generate a data analysis report or enrich data for an entire dataset, whether it is a text file or SQL-based data table in the Cloud. With this approach, these single commands can be scheduled, invoked programmatically, used in a batch script, be part of data pipelines and ELT/ETL processes, accessed as part of a business process, or added anywhere else it makes sense to plug the command into to add more data value. You can learn more here: https://connect.interzoid.com/data-matching-workflow

Here is a "single command" example of a match report analyzing a sample text file showing match clusters and their algorithmically generated similarity keys used for matching purposes. You can paste the link in the address bar of your browser, or simply just click on it. It could also be run from the command-line using cURL or equivalent with the output redirected for use in additional processing:

https://connect.interzoid.com/run?function=match&apikey=use-your-own-api-key-here&source=CSV&connection=https://dl.interzoid.com/csv/companies.csv&table=CSV&column=1&process=matchreport&category=company&html=true

All three of these approaches operate 100% in the Cloud with nothing to install.

Once you have registered with Interzoid,you can Log in to the Interzoid Website and visit the Account page to obtain your API License Key. You will need this to access any of our data products, run data workloads, or call any of our APIs.

We have test data available both as SQL scripts and CSV files for you to make use of if you would like to try these to get the hang of things before you start working with your own data tables and files using the Cloud Data Connect product.