Discover how DHL Group increased connectivity across the enterprise and automated multiple processes end-to-end
Process mining can be used to model, analyze and optimize business processes. It is an effective method to gain insights on the performance of your business processes.
You can think of process mining like an x-ray of your business processes, allowing you to see where issues exist and prioritizing where to implement improvements based on how critical they are to your business and how valuable it will be to fix them.
Process automation is used to automatically complete manual, repeatable tasks throughout an organization to improve efficiency, while at the same time connecting applications to orchestrate data across the enterprise. Process automation optimizes business processes end-to-end to transform business processes to streamline operations and bring efficiency to operations.
Process mining analyses data logs to uncover how processes work. This provides insights into bottlenecks and inefficiencies, which then in turn can be improved.
The transparency that process mining provides helps to provide context and plan where best to apply improvements to increase efficiency and productivity.
By determining how to optimize business processes, you can reduce business costs. Process mining is an always-on activity, so you can make continuous improvements and continually reduce wastage to save costs.
By automating steps in a business process, you can reduce costs, either by enabling the reallocation of employees or enabling the workforce to manage a higher workload without hiring additional staff.
Process automation also reduces the risk of potentially costly errors as data can be automatically captured, validated, and transferred without manual intervention eliminating the risk of human-related mistakes.
Process Mining identifies the process deviations & improvement opportunities, but you still must take action after mining to realize efficiency gain. This is where automation comes in, and the action takes place to enable efficiency gains.
Process mining is essentially the discovery phase. Process automation is where the real value is delivered. The two can be used together to deliver value, as process mining can provide a context and perspective for your automation strategy, while process automation executes tasks.
While the two work well together, process automation delivers more ROI because using process mining alone only indicates where issues are, it doesn’t necessarily solve them. To deliver true results to your business, you need to deploy a process automation platform to automate processes end-to-end.
Organizations who have used Bizagi as part of their automation strategy have seen quantitative benefits, such as improved productivity and overall cost savings.
DHL Group, one of the world’s largest logistics companies, deployed Bizagi in their shared services to save the work of 400 FTEs per year. In the duty billing process as part of cross-border deliveries, they achieved an automation rate of more than 90% to repurpose several FTEs and significantly improve process quality.
Old Mutual bank reduced operational costs of their branches by $3 million per year by reducing training costs with process automation. Additionally, Since deploying Bizagi, there has been a 30% uplift in sales as staff have access to more solutions for customers thanks to the orchestration of systems with comprehensive dashboards that provide full visibility of customer information.
AI is revolutionizing digital operations across the board. When it comes to process mining, there are a few specific ways that it can enhance operations, including: - Enhanced data analytics to analyze larger volumes of log data and identify hidden patterns - Anomaly detection for real-time issue flagging - NLP to interpret and process unstructured data such as email or written reports - Automated process discovery rather than manual mapping
Combined with AI, process automation, becomes Intelligent Process Automation (IPA) which can deliver additional benefits, including: - Adaptive processes to respond to dynamic business environments with real-time changes to make process automation more flexible - Improved decision-making with intelligent analysis to offer recommendations on data or make decisions autonomously - Natural language interfaces such as chatbots and virtual assistants for easier communication - Predictive maintenance that can forecast when systems will require maintenance and schedule repairs proactively
Process mining and process automation can both be enhanced by AI. However, process automation will reap the most benefits for a few reasons. Not only can AI-driven automation continuously learn and improve from data, providing ever-evolving operational efficiency, it also directly improves the customer experience as AI-enhanced automation can directly interact with customers.
In terms of ROI, process automation also sees a bigger cost saving with the introduction of AI, as the automation of complex tasks reduces the need for human intervention, cuts labor costs, reduces training needs, and eliminates the risk of human error. It also improves decision-making which can lead to more cost-effective actions for the business.
The cumulative effect of these savings can be substantial, enhancing the profitability and competitiveness of an organization.
Learn more about Bizagi's process automation solution and how you can apply it to your business to see significant ROI.
