About Senzing-Ready Data
Integrating external datasets is critical for many organizations as they pursue their AI or data-led transformations. Whether leveraging external data to enhance internal entity resolution accuracy or add new attributes to existing data, the goal is more actionable and trusted insights.
This need to integrate external datasets is why the number of third-party data providers who deliver pre-mapped, validated Senzing JSON datasets is growing. These Senzing preferred data provider partners enable seamless data integration for Senzing users.
Get Your Data Ready
What Is Senzing-Ready Data?
Senzing has a standard format in which it expects adds, updates, deletes, and queries. The Senzing format uses industry-standard JSON with labels as prescribed by the Senzing Generic Entity Specification. Senzing JSON looks like this:
{
“DATA_SOURCE”:”MY_VENDORS”,
“RECORD_ID”:”CORP-1”,
“NAME_ORG”: ” Pet Rocks Unlimited”,
“BUSINESS_ADDR_FULL”: “123 Main Street, Las Vegas, NV 89114”,
“PHONE_NUMBER”: “702.555.1600”
}
Senzing-ready data is data – whether it’s your internal data or third-party data – that has already been transformed into Senzing-ready JSON.
Senzing-ready data allows an organization to effortlessly combine diverse data sets at a quality level that outperforms humans at any scale and in most languages. [While other technologies are still working on entity resolving their first few data sets, Senzing users are in production with all their data sources.
Senzing-ready data allows diverse data to be combined even faster.
How To Use Senzing-Ready Data
If you are evaluating how entity resolution helps you combine your data with other data, the simplest option is to use the free Senzing Desktop Eval Tool. It is downloaded and runs locally, and no data flows to Senzing, Inc. This simple evaluation tool – designed for up to 1M records – allows you to combine the Senzing-ready data effortlessly. Get this tool here.
If you are integrating the industrial-strength Senzing SDK into your system or workflow, you can architect how Senzing-ready data is presented to the engine in various ways. To fast-track your project, schedule a quick call (here) with one of our architects. We provide this expertise and SDK evaluation licenses for free.
Senzing-ready data helps data scientists and developers take advantage of data faster.
How Do I Make My Own Senzing-Ready Data
You have seen how easy it is to entity resolve diverse data sets, and now you want to get your data into the Senzing-ready format quickly.
If you are seeking a quick taste, start by picking just the most valuable entity-resolution attributes, e.g., names, addresses, phones, emails, and IDs. For an even quicker experiment, start by loading just one name, address, phone, date of birth, etc. With this useful set of “starter fields,” either place the data in one of the Senzing CSV templates or map your data into Senzing-ready JSON using the Senzing Generic Entity Specification.
If you are building a production system, you will map your schema to Senzing-ready JSON using the Senzing Generic Entity Specification. To fast-track your project, schedule a quick call (here) with one of our architects. We provide this expertise and SDK eval licenses for free.
How to Get Started
To experience the capabilities of Senzing entity resolution yourself, use our Desktop Evaluation Tool and see results with your data (or our sample data) in 15 minutes or less. Developers can install and evaluate Senzing SDK for free with QuickStarts available for Linux or Docker.
Or, if you’d rather have one of our entity resolution experts show you how it works and answer any questions, you can also schedule a demo.
