[2026 Latest] Achieving Total Optimization through Event Log Analysis to Bridge the Gap Between Tools

While Digital Transformation (DX) progresses, organizations are facing a new barrier: "tool proliferation." CRM, SFA, ERP, and various SaaS solutions—as each department adopts the tools they deem best, data becomes fragmented, accelerating "siloing" where the big picture of operations is lost. In our consulting work, we see firsthand that this disconnect between tools is a major factor significantly slowing down corporate decision-making. This article explains a practical approach to drawing a company-wide optimal DX roadmap by utilizing "process mining" to visualize dispersed event logs.

1. The Reality of "Invisible Rework" Caused by Tool Proliferation

In actual consulting scenarios, we often see situations where the sales department manages customers via SFA, customer support uses an inquiry management system, and the logistics department uses its own core system. Even if efficiency improves within each tool, analog adjustments like "manual data entry" or "confirmation phone calls" occur the moment information moves between systems. This is the "bottleneck caused by siloing."

For example, in D2C E-commerce Construction & Growth Support, we frequently see cases where time lags in syncing order data to logistics systems or inventory discrepancies lower customer satisfaction. Tools optimized for individual departments create a "disconnect" from a company-wide perspective. If AI or RPA is introduced while leaving these gaps unaddressed, errors will simply occur at the points of disconnect, and the Return on Investment (ROI) will not be maximized.

2. "X-raying" Business Flows with Process Mining

The weapon to visualize this "invisible disconnect" is process mining. This method collects and analyzes event logs—records of "who did what and when"—remaining within systems to depict actual business processes as they truly are. It brings to light the "truth of the flow," including exception handling, wasteful loops, and bottlenecks, rather than the textbook "ideal flow."

Looking at analysis results from our consulting sites, it is surprisingly common to find that more than half of business hours are spent on "non-standard processing" and "adjustments." As shown in the figure above, the "standard process"—the actual value-added work—accounts for only 45% of the total, while the rest disappears into tasks meant to bridge the gaps between tools. Process mining quantifies these "hidden costs" and clarifies the priorities for where digitalization should occur.

3. Three Steps to Developing a DX Roadmap for Total Optimization

After identifying issues through process mining, the next step is to translate them into a company-wide optimal DX roadmap. The key is not just replacing tools, but achieving end-to-end (E2E) optimization.

• Step 1: Standardization of Data Connections To bridge the gaps between systems, we establish a foundation where event logs can be tracked centrally by implementing API integrations and building data lakes.
• Step 2: Surgical Treatment of Bottlenecks We perform Business Process Re-engineering (BPR) on the "areas with the longest stagnation" identified through log analysis. Here, we leverage the expertise gained from D2C E-commerce Construction & Growth Support to design a seamless flow of information from the front end to the back end.
• Step 3: Establishing a Continuous Monitoring System DX is not a one-time event. In the latest trends of 2026, "Continuous Process Improvement"—monitoring logs in real-time and issuing alerts the moment a process deviates—has become the mainstream approach.