July 12th, 2018

[Part 4] 2018’s Human-Centric Mobile Trends: Low Code vs. No Code

10 years after Apple’s App Store launched, 10 million+ apps have been developed and launched across platforms including iOS, Android and Windows. Despite this growing number, the average employee (at an enterprise with 1,000+ employees) has access to less than one app (including native, hybrid and web apps) that they use on a weekly basis that goes beyond e-mail and file sharing provided by their employer. Simply put, businesses are way behind the consumer space when it comes to leveraging apps for productivity. As a result, they are missing out on a huge opportunity.

Why Is This the Case?

According to a number of interviews and surveys conducted in partnership with CIO’s and CTO’s, here’s what they had to say is causing their organizations to be behind the eight ball when it comes to employee apps:

  • Lack of budget and resources
  • Lack of skills for mobile service design and development internally
  • No apps provided by existing enterprise software suppliers
  • Too many other challenges/issues
  • Security and legacy software challenges

The survey participants also noted that when enterprise apps are available, the user experience is typically pretty awful. Generally speaking, this is the case with most enterprise apps that are provided by SAP, Microsoft, Oracle, etc.

It’s not that there is a lack of demand. Chat with any given employee and you will discover that there’s a myriad of problems that could be solved or improved through the use of mobility services. That being said, it’s just not given priority within organizations. We’ve spoken with establishments that have a list of 30+ apps that they want to implement. And a year later, we’ve seen little to no progress being made on getting the ball rolling with any of them.

How Can We Solve This?

What if employees had the opportunity to create these apps themselves? For most companies this is how the transition to the web started. Creative employees created a database, an intranet, a brand website, etc.

This sort of practice is where the low code and no code solutions come into play. With the tools listed below, employees can be empowered to come up with their own solutions. Thereby, enterprises encourage creativity, remove business barriers and open up the floodgates to experiment, learn and mobilize the business from within.

Low Code vs. No Code

Low code means that the user interface and flows can be created with a platform tool, but some coding/scripting may be required for application logic or to make the application interact with the backend or other systems.

No code means exactly that. Powerful applications can be created without the use of anycoding. To achieve this, the tool used needs to be set up and integrated with the business beforehand. However, using this method can cost an organization millions of dollars in startup costs.

Coding through deep/machine learning

Today, more than 50% of code created at Google is written by a computer or machine. Due to the complexity of deep learning, this may actually be the only way to write code that could possibly be able to solve complex AI challenges.

How Does It Work?

Unfortunately, there is no magic to be had here. For this to occur, companies need to select the right tools and integrate their platform with the core legacy systems required for authentication, security and data access.

Who are the tool providers?

Outsystems (my personal favorite)

Kony

Apply Design (mainly prototyping)

+ at least 5 others recommended by Gartner

At DMI, our job is to provide clients additional support in understanding business needs, legacy system requirements, selection of vendors/suppliers, planning and system architecture design, integration, implementation and rollout of low code and no code solutions. Once up and running, the business takes over the app creation process. Nevertheless, we are always willing to provide extra hands to accelerate development and to ensure these platforms are up to date.

DMI has more than 10 years’ experience of selecting, deploying and rolling out app development tools. Over the years, we’ve learned from failures and successes and as a result, we’ve vastly increased the overall success rate for our customers.

Stay tuned for the remaining parts of this series to find out how these six trends are expected to shape success in 2018.

  • Data security and privacy
  • Apps replacing office tools

Learn more about the first three trends in 2018: Human First, AI and Conversational Interfaces.

Magnus Jern
Chief Innovation Officer

Tags: low code machine learning Microsoft Oracle SAP

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