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Embedding Analytics By White Labeling

Watch this video to learn the uses and limits of customizing embedded analytics through white labeling. When a third-party software application is integral to the way a business delivers products or services, many organizations want that software to look like its home grown. White labeling is a way to do that relatively simply; and it’s sufficient in many situations. A lot of cosmetic fine tuning can be done with logos, color palettes, fonts, icons, and…

Embedding Analytics with iFrames

In this video, you’ll find out how iFrames extends the customization of embedded analytics beyond what’s possible with white labeling. There are a lot of cases when white labeling isn't sufficient,especially when you want to have data analytics alongside other functionality. A good example would be a customer portal where you have several columns with different widgets. You might have a news feed, a weather map, and other features plus analytics tools. One way to…

Embedding Analytics with a Software Development Kit

This video goes beyond customization via white labeling and iFrames to the use of a software development kit (SDK). Using iFrames and white labeling for customization, there's always a tradeoff between security, interconnectivity, and the integrity of the user experience. You have more control and more connectivity with an SDK. You can build a truly custom application without starting from scratch. A robust SDK should include the ability to embed out-of-the-box charts and new charts…

Building Your Own Data Platform with REST APIs

Watch this video to learn, how using REST APIs alongside of an SDK can multiply the power of both. An API is to software code what a UI is to users. It helps different bits of software interact with each other. And can help you turn a data application into a data platform. If you have access to them, you can do a lot with REST APIs that weren’t built into a particular SDK. For…

Accessing Data Using Custom Connectors

This video explores how applications connect to data sources and what that means to an embedded application. Database query languages like Structured Query Language (SQL) and the Open Database Connectivity Protocol (ODBC) have been around a long time. SQL since the early 1970s and ODBC since 1986. And for as long as people have been querying data, reducing the length of time it took to get answers back -- query latency -- has been a…