Increasing amounts of data content are continuously moving to Cloud data and database platforms as we move deeper into the era of accessible, valuable data residing in the Cloud. Large amounts of customer, marketing, and operational data are being gathered from disparate sources and moving to the Cloud for strategic analysis, business intelligence, marketing campaigns, customer communication, data science, AI/ML, and distributed operations. This is true across almost every vertical, including High Tech, Healthcare, Financial Services, Real Estate, Manufacturing, Education, and Retail.
But is the data usable? Can it be trusted? How can we even know?
Data exists in all kinds of shapes, sizes, and formats – making it difficult to organize, verify, and manage. Little control is often available over the data’s source(s).
To work with this data, an organization must now aggregate and access it within the confines of emerging technologies (SAAS applications, data platforms, analytics platforms, Cloud data warehouses). These applications mostly give little thought to data accuracy, consistency, comprehensiveness, and usability at the actual data content level.
An explosiveness of data and analysis platforms leveraging Cloud infrastructure that use it have created a new gap in the marketplace for effective data usability management.
For an example of data challenges, see Understanding Data Matching.
If an organization's data can be managed, harnessed, and otherwise “engineered”, there is tremendous upside and value downstream within a broad-range of data-driven applications. Having a high-quality, comprehensive, and complete foundation of data is very important to the success of data-driven initiatives. The ROI can be massive.
Interzoid is rising to the challenge with our Cloud-based data engineering products, including an integrated data API platform, interactive Web applications to process data, and data source connectivity to create a powerful, easy-to-use offering. We are striving hard to simplify the process of connecting to Cloud data platforms and improving the accuracy, consistency, and usability of the data with no coding required if desired, but with a full complement of APIs available for maximum flexibility.
Interzoid's solutions provide built-in native database connectivity to the top data platforms, pre-built data quality and data enrichment functions available right out of the box, an API platform foundation, and the utilization of Machine Learning to drive the analysis capabilities behind the scenes. With a strong entrepreneurial background and extensive experience in the space, Interzoid is addressing the opportunity with customers from a broad range of verticals.
With Interzoid, you are able at the click of a button to connect to any Cloud data platform and run “data quality” and “data usability” reports using always-improving (through Machine Learning) data engineering processes and functions.
You can obtain a broad range of data quality analysis and potential problem diagnosis reports right out of the box, including opportunities to improve the value and breadth of the data through "data enrichment", on a scheduled daily, weekly, or monthly basis through our "full dataset" APIs (analyze an entire dataset) that can provide immediate value.
These same capabilities can be used across multiple applications, data stores, and other data repositories, wherever the data may happen to be – all through our built-in Cloud database platform (including text files).
Imagine achieving all this easily in minutes, without having to write any code or poring over application and data source-specific technical documentation.
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, or 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. To try it now, 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 the above approaches operate 100% in the Cloud with nothing to install. You can begin
now with your own data and see value immediately.
Once you have registered with Interzoid, you can log in to the Interzoid Website and visit the https://www.interzoid.com/manage-api-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.