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Low Code Strengthen Existing Systems to Maximise Investments

Early in the pandemic, government agencies accelerated the implementation and use of digital technologies as offices and in-person interactions shut down and staff moved to remote work. This fast and necessary transition left agencies re-evaluating their long-term strategies to ensure they could quickly adapt to any significant future changes without driving up costs.

As agencies settle into their new work environments, there will be an increased need for technologies that support this way of working. The challenge is that the inundation of service and program needs over the past 24 months will only increase. And the new Executive Order on transforming federal customer experience and service delivery will only accelerate the need to increase efficiency. For government agencies, implementing the right low-code technology strategy will help them meet this mandate while overcoming complex infrastructure hurdles typically caused by legacy systems.

Many government agencies still consider low code as something more basic – dragging and dropping to create an application – but low-code platforms have much more advanced capabilities that go beyond these simpler functions. In 2022, low code will move past smaller-scale use cases and instead drive better business agility and innovation for their agencies.

While digital transformation needs across agencies vary, the guidance for how organisations can get started on their low-code strategy is pretty much the same: determine what the goals are and who within the agency can help meet these goals. Whether it’s increased collaboration across shared services or securing sensitive information, IT leaders should begin by outlining roles and responsibilities for each team member.

From there, users can identify who has the appropriate knowledge and skills to kickstart projects quickly and take on leadership positions to ensure others contribute. With the proper guardrails in place, teams can build without constant oversight, break down barriers and empower employees to innovate.

The right low-code solution has the potential to enable comprehensive enterprise modernisation at scale. Users can use low code to create desktop and mobile applications that are easier to operationalise and manage across an agency. Additionally, because low code enables repeatable designs, developers won’t have to recode new apps every time the agency has a new business need. This reusability means eliminating the need to rewrite or rip and replace an existing application or system to keep up with changing demands. This saves agencies time and money as well as taxpayer dollars.

Low code gives government agencies the ability to hit the ground running while meeting their digital transformation goals and working more easily within budgetary guidelines. When agencies develop apps faster and scale quickly from a single platform, they can eliminate downtime and manual workarounds and stay focused on the mission. By bringing people, processes and systems together, low code help agencies empower users across departments and different skill levels to ultimately create better experiences for employees and constituents alike.

As reported by OpenGov Asia, According to a new report, although 90% of state and local government agencies have improved their use of data analytics in the past two years, four out of five say the gap between how much data they collect and how much they use for meaningful analytics is widening.

A study also found that 89% of respondents agree that data analytics is “the lifeblood of modern government,” but 63% are still in the early to middle stages of analytics maturity, and only 36% grade their agency’s use of analytics to create meaningful information an A. What’s more, 78% of respondents said the amount of data their organisation collects is growing faster than their ability to keep up.

A modern data experience should be very simple. It should be API-defined and easy, common management tools so that organisations can derive proactive analytics that is actionable at scale. It should also be seamless, so the customers have the opportunity to leverage the technology without having a big strain on management.

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