A Meta Analogy for Illustrating “Low-Code” Application Development
This article describes a meta analogy in order to illustrate to readers how low-code application development works. Read on for more!
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“Where’s that doorframe? Great, got it...”
“Now, how about those short blue bricks to make the front steps?”
Reusable components drive scale. Much like the format for this blog, low-code composable apps are assembled entirely from prebuilt components. A collection of parts assembling a new whole. So this post will read much like your favorite playlist or compilation album: a curated digest, a collective work comprised of many others. When you piece all of these parts together, the product becomes an entirely new work unto itself to serve a different purpose. Think Pinterest-ie, modular, drag-n-drop WYSIWYG editor on a canvas board. Simple, but built upon a comprehensive framework allowing for such nimble flexibility.
True to form, here are a handful of raw building block excerpts from leading industry analyst firms and other thought leaders on the explosion of low-code applications in enterprise analytics:
- Amalgam Insights on realizing more business value at scale through mature application development.
- Joe McKendrick in ZDnet on how enterprises are using low-code and no-code to prepare for an unknowable future.
- Mark Palmer in Techno Sapiens on no-code apps as the future of analytics.
- TechTarget examines the low-code market's race for citizen developers.
Leading industry research has explored this concept in-depth as a top trend for how large companies are now leveraging scalable application development for new business value:
“Composable analytics will enable a new collaboration model between two different personas: citizen developers and business analysts. While citizen developers have more ideas about how to monetize applications with their development expertise and creativity in a design thinking process, business analysts can focus more on business problem solving with their domain expertise and familiarity with decision making in an analytical thinking process.”
This will also lead to increased investment in tools that are open-source friendly allowing for prebuilt ‘blocks’, cautioning against platforms requiring too much custom development to integrate. And these should of course take into account the support of non-traditional developers not served prior, matching developer skillsets of trained devs or “citizen devs” (or perhaps both). Another excerpt from leading industry analyst research explains the potential:
“Using composable analytics to drive collaboration evolves the use of embedded analytics from general content sharing to active personalization for different audiences.”
Compose, and unlock value. For more of my data musings, follow me on Twitter.
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