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Flevy Management Insights Q&A
What are the implications of no-code/low-code platforms on the agility and efficiency of BPM workflows?


This article provides a detailed response to: What are the implications of no-code/low-code platforms on the agility and efficiency of BPM workflows? For a comprehensive understanding of BPM, we also include relevant case studies for further reading and links to BPM best practice resources.

TLDR No-code/low-code platforms revolutionize BPM by enabling rapid application development and deployment, significantly increasing organizational agility and operational efficiency while reducing costs and IT dependency.

Reading time: 4 minutes


No-code/low-code platforms have significantly transformed the landscape of Business Process Management (BPM) by enhancing agility and efficiency. These platforms enable organizations to develop and deploy applications with minimal coding, thereby reducing the dependency on IT specialists and accelerating the delivery of business applications. This transformation is crucial in today’s fast-paced business environment, where the ability to quickly adapt to changes and optimize operations can provide a competitive edge.

Enhancing Organizational Agility

The adoption of no-code/low-code platforms significantly enhances organizational agility. Agility in this context refers to the ability of an organization to rapidly respond to market changes and internal demands. Traditional software development methods are often time-consuming and require specialized skills, which can delay the implementation of vital BPM workflows. No-code/low-code platforms, on the other hand, empower non-technical users to contribute to application development, thereby democratizing the process and reducing the time from concept to deployment.

For instance, a report by Gartner predicts that by 2024, low-code application development will be responsible for more than 65% of application development activity. This shift is indicative of the platforms’ ability to make organizations more responsive. By simplifying the development process, these platforms enable organizations to swiftly adapt their BPM workflows in response to new opportunities or threats, without being bogged down by technical complexities.

Moreover, the agility facilitated by no-code/low-code platforms allows for continuous improvement in BPM workflows. Organizations can quickly iterate and refine processes, thereby enhancing efficiency and effectiveness. This capability is particularly valuable in dynamic industries where processes need to be frequently updated to reflect changing regulations, market conditions, or customer expectations.

Explore related management topics: Continuous Improvement

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Improving Efficiency and Reducing Costs

No-code/low-code platforms also play a crucial role in improving operational efficiency and reducing costs associated with BPM workflows. By enabling faster development and deployment of applications, these platforms reduce the backlog of IT projects and free up valuable IT resources for more complex tasks. This not only accelerates the pace of digital transformation but also leads to significant cost savings by lowering the need for extensive programming resources.

According to a study by Forrester, organizations using no-code/low-code platforms can reduce development costs by 74% and increase application delivery speed by a factor of five. These platforms eliminate the need for extensive hand-coding, which is both time-consuming and prone to errors. By streamlining the development process, no-code/low-code platforms ensure that BPM workflows are not only deployed more rapidly but are also more reliable and require less maintenance.

Efficiency gains are not limited to the development phase. No-code/low-code platforms often come with pre-built templates and integrations, which further expedite the deployment of BPM workflows. For example, an organization looking to improve its customer service process can easily customize a pre-built workflow template to suit its specific needs, thereby avoiding the lengthy process of developing a new workflow from scratch. This capability significantly reduces the time and effort required to optimize business processes.

Explore related management topics: Digital Transformation Customer Service

Real-World Examples and Strategic Implications

Real-world examples abound of organizations leveraging no-code/low-code platforms to enhance their BPM workflows. For instance, a leading financial services firm used a low-code platform to automate its loan approval process, reducing the processing time from several days to just a few hours. This not only improved customer satisfaction but also increased the efficiency of the firm’s operations.

Another example is a healthcare provider that implemented a no-code solution to manage patient records and appointments. The platform enabled the provider to quickly adapt its processes in response to the COVID-19 pandemic, such as incorporating telehealth services into its offerings. This agility proved crucial in maintaining service delivery during a period of unprecedented disruption.

The strategic implications of adopting no-code/low-code platforms for BPM workflows are profound. Organizations that embrace these platforms can significantly enhance their agility and efficiency, thereby gaining a competitive advantage. In the digital age, where speed and adaptability are paramount, the ability to quickly develop and deploy BPM workflows can be a game-changer. As such, no-code/low-code platforms are not just a technological innovation but a strategic tool that can drive business transformation.

Explore related management topics: Business Transformation Competitive Advantage Customer Satisfaction

Best Practices in BPM

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Explore all of our best practices in: BPM

BPM Case Studies

For a practical understanding of BPM, take a look at these case studies.

Operational Efficiency Advancement for Luxury Retailer in Competitive Market

Scenario: The organization in question operates within the luxury retail sector, grappling with outdated Business Process Management systems that fail to support its global operations effectively.

Read Full Case Study

Automotive Retail Strategy Overhaul for High-End Electric Vehicles

Scenario: A luxury electric vehicle manufacturer is struggling with inefficient Business Process Management across its global retail operations.

Read Full Case Study

Operational Efficiency Enhancement for Semiconductor Manufacturer

Scenario: The organization in focus operates within the semiconductor industry, which is characterized by high complexity and rapid technological advancements.

Read Full Case Study

Retail Workflow Optimization for Boutique Luxury Brand

Scenario: A luxury boutique specializing in high-end accessories has been facing challenges in maintaining operational efficiency due to outdated Business Process Management systems.

Read Full Case Study

Improvement of Business Process Efficiency for a Scaling Technology Enterprise

Scenario: A rapidly expanding technology firm is grappling with mounting complications in its Business Process Management.

Read Full Case Study

Automotive Dealer Network Process Optimization in Mature Markets

Scenario: The organization is a prominent automotive dealership network situated in a mature European market, grappling with outdated and siloed business process management (BPM) systems.

Read Full Case Study


Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

What role does artificial intelligence play in enhancing BPM practices, especially in large organizations?
AI transforms BPM in large organizations by driving Process Optimization, enhancing Decision-Making and Strategic Planning, and revolutionizing Customer Experience, leading to Operational Excellence and strategic agility. [Read full explanation]
What are the implications of emerging digital twin technologies on BPM practices and strategies?
Digital twin technologies are transforming BPM by improving Decision-Making, Strategic Planning, Operational Efficiency, Innovation, Risk Management, and Compliance, becoming a strategic necessity for future success. [Read full explanation]
How are advancements in natural language processing (NLP) technologies enhancing the automation of BPM tasks?
NLP technologies are transforming BPM by automating data processing, improving customer service, and facilitating Compliance and Risk Management, leading to increased efficiency, accuracy, and agility. [Read full explanation]
What impact will the rise of remote work and digital nomadism have on BPM practices?
The rise of remote work and digital nomadism necessitates a Digital Transformation in BPM, emphasizing flexibility, digital accessibility, employee engagement, and the integration of AI, ML, and cloud computing to maintain Operational Excellence and adapt to a distributed workforce. [Read full explanation]
How can BPM facilitate better decision-making in rapidly changing markets?
BPM improves decision-making in dynamic markets by increasing Organizational Agility and Flexibility, providing data-driven insights for Operational Excellence, and strengthening Risk Management and Compliance, enabling swift adaptation to market changes. [Read full explanation]
How can companies measure the ROI of BPM initiatives to justify continued investment?
Organizations can measure the ROI of BPM initiatives by establishing clear metrics aligned with strategic objectives, utilizing advanced analytics and technology for real-time data analysis, and incorporating feedback loops for continuous improvement, thereby ensuring alignment with overall Operational Excellence. [Read full explanation]
What are the common pitfalls in BPM implementation and how can they be avoided?
Successful BPM implementation necessitates a strategic focus on Change Management, clear objectives and KPIs, and a balanced approach to people, processes, and technology to avoid common pitfalls and achieve operational excellence. [Read full explanation]
What implications does the increasing use of predictive analytics in BPM have for risk management and mitigation strategies?
Predictive analytics in BPM transforms Risk Management by enabling proactive risk identification, strategic mitigation planning, and continuous improvement, thus significantly improving organizational resilience. [Read full explanation]

Source: Executive Q&A: BPM Questions, Flevy Management Insights, 2024


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