What is eDromos®?
eDromos® uniquely combines current state performance analysis with generation of snapshots (process mining), development needs identification (data mining), predictive analytics (unsupervised machine learning), and future scenario simulation. This enables proactive operations as well as service and process management, taking knowledge management to a whole new level.
Grasp the bigger picture
eDromos® is based on the utilization of real-time data collected from operations. Based on the data, operations and processes are automatically analyzed and visualized into a single holistic snapshot. From this snapshot it can be inferred how well the operations correspond to plans, where the biggest deviations and development needs are, and what are the possible reasons for the problems in operations.
Make wise decisions
With eDromos®, it is possible to make predictions about the development of operations and, in addition, use simulation to test the impact of various changes on the operation of processes and services before practical implementation. Here, the forecasts tell the future prospects and the simulation enables more detailed planning of the activities when these different future scenarios come true (controllability, resources, capacity, etc.)
Ensure operational performance and enable proactive management
By using our services you gain multiple benefits to develop and manage your business.
- Determining the root causes of problems
- Effective decisions in the development of operations and processes
- Improving productivity and cost efficiency
- Continuous improvement of quality and effectiveness
- Monitoring the results of development projects as well as service and process changes
- Better integration of the quality system into operational activities
- Optimization and benchmarking of unit-level operations
- Support for proactive service and process management through continuous monitoring and management dashboard
- Empowering the entire organization to continuously improve services and processes
How does eDromos® work?
1. Enter the data
Select the relevant data and enter it into eDromos®. Data can be retrieved and combined from several different sources.
2. Define processes
Define the desired process, path, or entity and select the key factors.
3. Analyze the process
The defined process is visually presented for analysis with all its information, easily and quickly.
4. Transform into a simulation model
The process model can be turned into an interactive simulation. Test new scenarios until you find the most effective development path for your process.
5. Implement, monitor and manage
Choose the most effective scenario, make a wise implementation decision, and put the new approach into practice.
We have several eDromos offerings for organisations and individuals.
Upload data to eDromos® from different data sources and prepare data in a data configuration view for the actual analysis. Combine different data sources as you want, enrich the data with new columns if necessary, and set different filters to limit the data, for example, to a specific customer group.
Import and define data sources
Assign column data types simply by drag and dropping
Multiple supported file formats: CSV, XLS, XLSX
Sorting the data sources by name or timestamp helps keep your files organized
Sort data sources by name or timestamp
Be sure to take advantage of various filters
Through unit analysis, you get an insightful overview of the content of the available data and the basic key figures of the data. In this way, you can use unit analysis, for example, in data validation and as a preparatory step towards the actual process analysis.
Filter by name
Transition to edit filters
Table view of chosen column frequency
Cross tabulate two or three columns into a pivot graph
Events available as bar charts
Visualiaze frequencies as sankey diagram
Save bar chart as .png file
eDromos® offers several options based on process mining for describing processes or customer flows. Utilize Synesa’s own process configurator to describe the process with step-by-step and detailed configurations. The process configurator can be used for example to model a target process after which you can see how many cases follow the defined target process, or to estimate the frequencies and deviations of recurring events in recurrences. You can also describe a process without precise attributes to see all the process variation in the data as a result.
With before-after analytics, you can evaluate the effects of process changes. In the view definition, place a fixed point in the middle and the events to be viewed on both sides of the fixed point with their timeframes: this allows you to see changes in process behavior and to evaluate the effectiveness of various process changes.
As a result of mining, you have access to a visual, animated and interactive process graph, equipped with statistics about the process entity and its stages. With the graph, you can delve into activity and arc-specific statistics and study process variations, process lead times, and explanatory factors behind phenomena. In addition, the solution compiles a summary of the important basic information about the mined model. The results of mining and analysis can also be exported to dashboard views for continuous operative monitoring.
Sort process configurations by name or timestamp
Define process configurations to support selected goal
Define optimal process
Define phase-based attribute conditions
Define minimum and/or maximum distance (minutes, hours, days, weeks, years)
Skip noise (unnecessary events for current process)
Utilize pre-post analytics
Evaluate change in process or service behavior
Suited particularly for repetitive events
Visual and interactive graph
Simulation conversion allows you to automatically convert the fact-based process model and its basic parameters into a simulation format. With this conversion, the simulation model does not have to be built from scratch, which has traditionally been the starting point for creating simulation models. Thus, thanks to simulation conversion and the fact-based model serving as the basis for the simulation model, you are able to perform the actual simulation experiments and various what-if scenarios faster and more reliably.
The simulation model provides a virtual test platform for various what-if scenarios. With simulation, you can test different development suggestions and find the most suitable one among different options. Simulation can thus help to avoid laborious pilots and you can put only the best ideas into practice.
With eDromos®, you can use a simulation model based on an analysis of the current situation, but you can also build a simulation model with various elements from scratch by yourself if necessary. Typical simulation scenarios include changes in volumes, capacities, costs, service event durations, and service opening hours, as well as an assessment of these effects on utilization rates, lead times, queuing situations, and costs.
Cloning of simulation model
With animation, you get more out of the simulation model
Examine the load of activities and the development of the queuing situation
Collect illustrative statistics from sample times (e.g., utilization, queuing, resource utilization, capacity, costs)
Define simulation duration
Easily add new elements or objects
Prioritize entities and resources
View different distributions
The project structure included in the solution allows you to place data configurations and analysis models in logical, interconnected entities. This facilitates the maintainability of models as the number of models increases and, on the other hand, enables more efficient management and sharing of information with colleagues.
Sort configurations, process and simulation models into logical entities
Create new projects
Specify who you want the project to appear to
Browse all projects conveniently from one view