Leveraging Automation to Reduce Time to Market for IoT Projects

Leveraging Automation to Reduce Time to Market for IoT Projects

An automation strategy can help organizations get closer to their launch through a seamless, secure, and scalable model.

A large number of IoT projects do not always fully succeed. This could be attributed to a number of variables, such as targeted time to market (TTM) and a mismatch in preparedness. According to a 2021 report from Beecham Research, IoT projects require a more developed strategic plan to fill in the gaps at various stages of their development life cycle.

Despite the fact that newcomers to the industry benefit from a well-tested market scope, they confront challenges in keeping the TTM under control.

Consumer demand for IoT outpaces enterprise readiness to supply at the same scale, which is a significant challenge. Even though brands commit their arrival to stakeholders and consumers, they often lack the vertical accuracy needed to lay a solid foundation. As a result, ROI suffers.

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Here are a few strategies that organizations can adopt to keep Time to Market.

Select the appropriate ERP and workflows

First and foremost, adopting an automation-first approach is critical. It aids in tracking work progress, minimizing downtimes, ensuring operation visibility, and the elimination of any delays. It is critical to select the appropriate ERP tool and create workflows. Businesses must use feasible ERP systems, from simple communications through development tracking and delivery management.

These systems link people, processes, and system landscapes through workflows, giving them a bird’s-eye view of the entire enterprise. Businesses should always start with a cloud ERP solution unless they already have an on-premises system. ERP solutions are often cost-effective, secure, and combine production plants, marketing, sales and distribution, vendor management, and other functions.

Automate sourcing

IoT development is a time-consuming process and is reliant on the availability of technical, functional, tooling, and component expertise, as well as manufacturing expertise. Finishing inside Time to Market will be difficult unless organizations have these metrics covered. The crucial step of creating the IoT prototype adds to the complexity.

Developing these skills in order to fulfil on-demand requirements is difficult and often impractical. Most businesses end up making a mess in the tug of war between achieving TMM and accurate development simply because they wanted to accomplish everything in-house. The IoT industry has progressed this far because of the collaborative efforts of outsourcing functions.

Businesses should consider forming a hybrid team structure in which peripheral functions are outsourced while decision-making responsibilities are kept in-house.

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This method benefits IT leaders in two ways: first, they get more time to focus on strategy, and second, they save a lot of time on skill development. Businesses can use social media or specific marketplaces to identify the perfect product development company.

TTM and agility are both reliant on one another. Time to Market provides a milestone to create an effective agility strategy, while agility provides the necessary smart roadmap to attain go-to-launch. Businesses need to break down the lifecycle into releases, releases into phases, and phases into milestones once they have locked down the business model and before they start developing.

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Prangya Pandab is an Associate Editor with OnDot Media. She is a seasoned journalist with almost seven years of experience in the business news sector. Before joining ODM, she was a journalist with CNBC-TV18 for four years. She also had a brief stint with an infrastructure finance company working for their communications and branding vertical.